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- .gitattributes +8 -0
- flare-medgemma-base-eval/details.json +1113 -0
- flare-medgemma-base-eval/scores.json +214 -0
- flare-medgemma-base-infer/inference_details.json +40 -0
- flare-medgemma-base-infer/testing_predictions.jsonl +0 -0
- flare-medgemma-base-infer/validation_hidden_predictions.jsonl +0 -0
- flare-medgemma-base-infer/validation_public_predictions.jsonl +0 -0
- flare-medgemma-eval/details.json +1113 -0
- flare-medgemma-eval/scores.json +214 -0
- flare-medgemma-infer/inference_details.json +40 -0
- flare-medgemma-infer/testing_predictions.jsonl +0 -0
- flare-medgemma-infer/validation_hidden_predictions.jsonl +0 -0
- flare-medgemma-infer/validation_public_predictions.jsonl +0 -0
- flare-medgemma-medgemma15-lora/README.md +58 -0
- flare-medgemma-medgemma15-lora/checkpoint-17000/README.md +209 -0
- flare-medgemma-medgemma15-lora/checkpoint-17000/adapter_config.json +51 -0
- flare-medgemma-medgemma15-lora/checkpoint-17000/adapter_model.safetensors +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17000/chat_template.jinja +47 -0
- flare-medgemma-medgemma15-lora/checkpoint-17000/optimizer.pt +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17000/processor_config.json +28 -0
- flare-medgemma-medgemma15-lora/checkpoint-17000/rng_state.pth +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17000/scheduler.pt +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17000/tokenizer.json +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17000/tokenizer_config.json +26 -0
- flare-medgemma-medgemma15-lora/checkpoint-17000/trainer_state.json +0 -0
- flare-medgemma-medgemma15-lora/checkpoint-17000/training_args.bin +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17200/README.md +209 -0
- flare-medgemma-medgemma15-lora/checkpoint-17200/adapter_config.json +51 -0
- flare-medgemma-medgemma15-lora/checkpoint-17200/adapter_model.safetensors +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17200/chat_template.jinja +47 -0
- flare-medgemma-medgemma15-lora/checkpoint-17200/optimizer.pt +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17200/processor_config.json +28 -0
- flare-medgemma-medgemma15-lora/checkpoint-17200/rng_state.pth +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17200/scheduler.pt +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17200/tokenizer.json +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17200/tokenizer_config.json +26 -0
- flare-medgemma-medgemma15-lora/checkpoint-17200/trainer_state.json +0 -0
- flare-medgemma-medgemma15-lora/checkpoint-17200/training_args.bin +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17208/README.md +209 -0
- flare-medgemma-medgemma15-lora/checkpoint-17208/adapter_config.json +51 -0
- flare-medgemma-medgemma15-lora/checkpoint-17208/adapter_model.safetensors +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17208/chat_template.jinja +47 -0
- flare-medgemma-medgemma15-lora/checkpoint-17208/optimizer.pt +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17208/processor_config.json +28 -0
- flare-medgemma-medgemma15-lora/checkpoint-17208/rng_state.pth +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17208/scheduler.pt +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17208/tokenizer.json +3 -0
- flare-medgemma-medgemma15-lora/checkpoint-17208/tokenizer_config.json +26 -0
- flare-medgemma-medgemma15-lora/checkpoint-17208/trainer_state.json +0 -0
- flare-medgemma-medgemma15-lora/checkpoint-17208/training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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flare-medgemma-medgemma15-lora/checkpoint-17000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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flare-medgemma-medgemma15-lora/checkpoint-17200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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flare-medgemma-medgemma15-lora/checkpoint-17208/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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flare-medgemma-medgemma15-lora/final/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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flare-medgemma1-medgemma1-lora/checkpoint-8400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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flare-medgemma1-medgemma1-lora/checkpoint-8600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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flare-medgemma1-medgemma1-lora/checkpoint-8604/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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flare-medgemma1-medgemma1-lora/final/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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flare-medgemma-base-eval/details.json
ADDED
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| 1 |
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|
flare-medgemma-base-eval/scores.json
ADDED
|
@@ -0,0 +1,214 @@
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|
| 1 |
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{
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| 2 |
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| 213 |
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|
| 214 |
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|
flare-medgemma-base-infer/inference_details.json
ADDED
|
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{
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"splits": [
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"testing",
|
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"validation_public",
|
| 5 |
+
"validation_hidden"
|
| 6 |
+
],
|
| 7 |
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"tasks": [
|
| 8 |
+
"disease_diagnosis_classification",
|
| 9 |
+
"multi_label_classification",
|
| 10 |
+
"detection",
|
| 11 |
+
"cell_counting",
|
| 12 |
+
"regression",
|
| 13 |
+
"report_generation"
|
| 14 |
+
],
|
| 15 |
+
"model_variant": "base",
|
| 16 |
+
"split_results": {
|
| 17 |
+
"testing": {
|
| 18 |
+
"split": "testing",
|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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},
|
| 24 |
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"validation_public": {
|
| 25 |
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"split": "validation_public",
|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"model_variant": "base"
|
| 30 |
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},
|
| 31 |
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|
| 32 |
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"split": "validation_hidden",
|
| 33 |
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"predictions": "/scratch/atatc/output/medgemma-flare-2d-output/flare-medgemma-base-infer/{split_predictions_validation_hidden.jsonl}",
|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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}
|
| 38 |
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},
|
| 39 |
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|
| 40 |
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}
|
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ADDED
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ADDED
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flare-medgemma-eval/details.json
ADDED
|
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|
flare-medgemma-eval/scores.json
ADDED
|
@@ -0,0 +1,214 @@
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"detection_iou_0.7_precision": 0.025054945054945054,
|
| 95 |
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"detection_iou_0.7_recall": 0.006628292342578057,
|
| 96 |
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"detection_iou_0.7_tp": 114,
|
| 97 |
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"detection_iou_0.7_fp": 4436,
|
| 98 |
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"detection_iou_0.7_fn": 17085,
|
| 99 |
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"balanced_accuracy": 0.7543050809989986,
|
| 100 |
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"classification_accuracy": 0.7513409961685824,
|
| 101 |
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"classification_f1_score": 0.7497215228330598,
|
| 102 |
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"f1_score": 0.4437961099932931,
|
| 103 |
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"multi_label_f1_score": 0.4437961099932931,
|
| 104 |
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"multi_label_precision": 0.45774647887323944,
|
| 105 |
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"multi_label_recall": 0.45521849042975804,
|
| 106 |
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"regression_mean_absolute_error": 20.515590607695504,
|
| 107 |
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"regression_root_mean_squared_error": 35.72048318261565
|
| 108 |
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},
|
| 109 |
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"validation_public": {
|
| 110 |
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"cell_counting_mean_absolute_error": 275.64,
|
| 111 |
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"cell_counting_root_mean_squared_error": 746.0054289346693,
|
| 112 |
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"f1_iou_0.5": 0.20054200542005424,
|
| 113 |
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"detection_f1_iou_0.5": 0.20054200542005424,
|
| 114 |
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"detection_precision_iou_0.5": 0.20786516853932585,
|
| 115 |
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"detection_recall_iou_0.5": 0.193717277486911,
|
| 116 |
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"detection_f1_iou_0.3": 0.4281842818428184,
|
| 117 |
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"detection_precision_iou_0.3": 0.4438202247191011,
|
| 118 |
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"detection_recall_iou_0.3": 0.41361256544502617,
|
| 119 |
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"detection_average_f1": 0.22547425474254745,
|
| 120 |
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"detection_average_precision": 0.2337078651685393,
|
| 121 |
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"detection_average_recall": 0.21780104712041887,
|
| 122 |
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"detection_iou_0.3_f1_score": 0.4281842818428184,
|
| 123 |
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"detection_iou_0.3_precision": 0.4438202247191011,
|
| 124 |
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"detection_iou_0.3_recall": 0.41361256544502617,
|
| 125 |
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"detection_iou_0.3_tp": 79,
|
| 126 |
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"detection_iou_0.3_fp": 99,
|
| 127 |
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"detection_iou_0.3_fn": 112,
|
| 128 |
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"detection_iou_0.4_f1_score": 0.31978319783197834,
|
| 129 |
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"detection_iou_0.4_precision": 0.33146067415730335,
|
| 130 |
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"detection_iou_0.4_recall": 0.3089005235602094,
|
| 131 |
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"detection_iou_0.4_tp": 59,
|
| 132 |
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"detection_iou_0.4_fp": 119,
|
| 133 |
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"detection_iou_0.4_fn": 132,
|
| 134 |
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"detection_iou_0.5_f1_score": 0.20054200542005424,
|
| 135 |
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"detection_iou_0.5_precision": 0.20786516853932585,
|
| 136 |
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"detection_iou_0.5_recall": 0.193717277486911,
|
| 137 |
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"detection_iou_0.5_tp": 37,
|
| 138 |
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"detection_iou_0.5_fp": 141,
|
| 139 |
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"detection_iou_0.5_fn": 154,
|
| 140 |
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"detection_iou_0.6_f1_score": 0.11924119241192412,
|
| 141 |
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"detection_iou_0.6_precision": 0.12359550561797752,
|
| 142 |
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"detection_iou_0.6_recall": 0.11518324607329843,
|
| 143 |
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"detection_iou_0.6_tp": 22,
|
| 144 |
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"detection_iou_0.6_fp": 156,
|
| 145 |
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"detection_iou_0.6_fn": 169,
|
| 146 |
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"detection_iou_0.7_f1_score": 0.05962059620596206,
|
| 147 |
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"detection_iou_0.7_precision": 0.06179775280898876,
|
| 148 |
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"detection_iou_0.7_recall": 0.05759162303664921,
|
| 149 |
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"detection_iou_0.7_tp": 11,
|
| 150 |
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"detection_iou_0.7_fp": 167,
|
| 151 |
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"detection_iou_0.7_fn": 180,
|
| 152 |
+
"balanced_accuracy": 0.5546660740446607,
|
| 153 |
+
"classification_accuracy": 0.7289484708839548,
|
| 154 |
+
"classification_f1_score": 0.7156102893269477,
|
| 155 |
+
"f1_score": 0.6075492977812565,
|
| 156 |
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"multi_label_f1_score": 0.6075492977812565,
|
| 157 |
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"multi_label_precision": 0.6396023564064801,
|
| 158 |
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"multi_label_recall": 0.6242071674030437,
|
| 159 |
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"green_score": 0.7304914922267108,
|
| 160 |
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"crimson_score": 0.8560994341563786
|
| 161 |
+
},
|
| 162 |
+
"validation_hidden": {
|
| 163 |
+
"f1_iou_0.5": 0.02654867256637168,
|
| 164 |
+
"detection_f1_iou_0.5": 0.02654867256637168,
|
| 165 |
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"detection_precision_iou_0.5": 0.06709741550695825,
|
| 166 |
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"detection_recall_iou_0.5": 0.01654817357195391,
|
| 167 |
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"detection_f1_iou_0.3": 0.10658800393313668,
|
| 168 |
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"detection_precision_iou_0.3": 0.26938369781312127,
|
| 169 |
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"detection_recall_iou_0.3": 0.06643785241480755,
|
| 170 |
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"detection_average_f1": 0.04228121927236972,
|
| 171 |
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"detection_average_precision": 0.10685884691848906,
|
| 172 |
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"detection_average_recall": 0.026354498651630302,
|
| 173 |
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"detection_iou_0.3_f1_score": 0.10658800393313668,
|
| 174 |
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"detection_iou_0.3_precision": 0.26938369781312127,
|
| 175 |
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"detection_iou_0.3_recall": 0.06643785241480755,
|
| 176 |
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"detection_iou_0.3_tp": 542,
|
| 177 |
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"detection_iou_0.3_fp": 1470,
|
| 178 |
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"detection_iou_0.3_fn": 7616,
|
| 179 |
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"detection_iou_0.4_f1_score": 0.05506391347099312,
|
| 180 |
+
"detection_iou_0.4_precision": 0.13916500994035785,
|
| 181 |
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"detection_iou_0.4_recall": 0.03432213777886737,
|
| 182 |
+
"detection_iou_0.4_tp": 280,
|
| 183 |
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"detection_iou_0.4_fp": 1732,
|
| 184 |
+
"detection_iou_0.4_fn": 7878,
|
| 185 |
+
"detection_iou_0.5_f1_score": 0.02654867256637168,
|
| 186 |
+
"detection_iou_0.5_precision": 0.06709741550695825,
|
| 187 |
+
"detection_iou_0.5_recall": 0.01654817357195391,
|
| 188 |
+
"detection_iou_0.5_tp": 135,
|
| 189 |
+
"detection_iou_0.5_fp": 1877,
|
| 190 |
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"detection_iou_0.5_fn": 8023,
|
| 191 |
+
"detection_iou_0.6_f1_score": 0.014945919370698134,
|
| 192 |
+
"detection_iou_0.6_precision": 0.03777335984095427,
|
| 193 |
+
"detection_iou_0.6_recall": 0.009316008825692572,
|
| 194 |
+
"detection_iou_0.6_tp": 76,
|
| 195 |
+
"detection_iou_0.6_fp": 1936,
|
| 196 |
+
"detection_iou_0.6_fn": 8082,
|
| 197 |
+
"detection_iou_0.7_f1_score": 0.008259587020648967,
|
| 198 |
+
"detection_iou_0.7_precision": 0.020874751491053677,
|
| 199 |
+
"detection_iou_0.7_recall": 0.0051483206668301055,
|
| 200 |
+
"detection_iou_0.7_tp": 42,
|
| 201 |
+
"detection_iou_0.7_fp": 1970,
|
| 202 |
+
"detection_iou_0.7_fn": 8116,
|
| 203 |
+
"balanced_accuracy": 0.7831332298755335,
|
| 204 |
+
"classification_accuracy": 0.783303730017762,
|
| 205 |
+
"classification_f1_score": 0.780685616728517,
|
| 206 |
+
"f1_score": 0.44493361285814115,
|
| 207 |
+
"multi_label_f1_score": 0.44493361285814115,
|
| 208 |
+
"multi_label_precision": 0.4612159329140461,
|
| 209 |
+
"multi_label_recall": 0.45317959468902863,
|
| 210 |
+
"regression_mean_absolute_error": 15.5031279181712,
|
| 211 |
+
"regression_root_mean_squared_error": 20.465680477276777
|
| 212 |
+
}
|
| 213 |
+
}
|
| 214 |
+
}
|
flare-medgemma-infer/inference_details.json
ADDED
|
@@ -0,0 +1,40 @@
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|
| 1 |
+
{
|
| 2 |
+
"splits": [
|
| 3 |
+
"testing",
|
| 4 |
+
"validation_public",
|
| 5 |
+
"validation_hidden"
|
| 6 |
+
],
|
| 7 |
+
"tasks": [
|
| 8 |
+
"disease_diagnosis_classification",
|
| 9 |
+
"multi_label_classification",
|
| 10 |
+
"detection",
|
| 11 |
+
"cell_counting",
|
| 12 |
+
"regression",
|
| 13 |
+
"report_generation"
|
| 14 |
+
],
|
| 15 |
+
"model_variant": "adapter",
|
| 16 |
+
"split_results": {
|
| 17 |
+
"testing": {
|
| 18 |
+
"split": "testing",
|
| 19 |
+
"predictions": "/scratch/atatc/output/medgemma-flare-2d-output/flare-medgemma-infer/testing_predictions.jsonl",
|
| 20 |
+
"num_predictions": 4696,
|
| 21 |
+
"num_rows": 4696,
|
| 22 |
+
"model_variant": "adapter"
|
| 23 |
+
},
|
| 24 |
+
"validation_public": {
|
| 25 |
+
"split": "validation_public",
|
| 26 |
+
"predictions": "/scratch/atatc/output/medgemma-flare-2d-output/flare-medgemma-infer/validation_public_predictions.jsonl",
|
| 27 |
+
"num_predictions": 5577,
|
| 28 |
+
"num_rows": 5577,
|
| 29 |
+
"model_variant": "adapter"
|
| 30 |
+
},
|
| 31 |
+
"validation_hidden": {
|
| 32 |
+
"split": "validation_hidden",
|
| 33 |
+
"predictions": "/scratch/atatc/output/medgemma-flare-2d-output/flare-medgemma-infer/validation_hidden_predictions.jsonl",
|
| 34 |
+
"num_predictions": 3918,
|
| 35 |
+
"num_rows": 3918,
|
| 36 |
+
"model_variant": "adapter"
|
| 37 |
+
}
|
| 38 |
+
},
|
| 39 |
+
"num_predictions": 14191
|
| 40 |
+
}
|
flare-medgemma-infer/testing_predictions.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
flare-medgemma-infer/validation_hidden_predictions.jsonl
ADDED
|
The diff for this file is too large to render.
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|
|
|
flare-medgemma-infer/validation_public_predictions.jsonl
ADDED
|
The diff for this file is too large to render.
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|
|
|
flare-medgemma-medgemma15-lora/README.md
ADDED
|
@@ -0,0 +1,58 @@
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|
|
| 1 |
+
---
|
| 2 |
+
base_model: google/medgemma-1.5-4b-it
|
| 3 |
+
library_name: transformers
|
| 4 |
+
model_name: flare-medgemma-medgemma15-lora
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
- sft
|
| 8 |
+
- trl
|
| 9 |
+
licence: license
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# Model Card for flare-medgemma-medgemma15-lora
|
| 13 |
+
|
| 14 |
+
This model is a fine-tuned version of [google/medgemma-1.5-4b-it](https://huggingface.co/google/medgemma-1.5-4b-it).
|
| 15 |
+
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 16 |
+
|
| 17 |
+
## Quick start
|
| 18 |
+
|
| 19 |
+
```python
|
| 20 |
+
from transformers import pipeline
|
| 21 |
+
|
| 22 |
+
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
|
| 23 |
+
generator = pipeline("text-generation", model="None", device="cuda")
|
| 24 |
+
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
|
| 25 |
+
print(output["generated_text"])
|
| 26 |
+
```
|
| 27 |
+
|
| 28 |
+
## Training procedure
|
| 29 |
+
|
| 30 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/projectneura/medgemma15-flare-mllm-2d/runs/by79naj9)
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
This model was trained with SFT.
|
| 35 |
+
|
| 36 |
+
### Framework versions
|
| 37 |
+
|
| 38 |
+
- TRL: 1.2.0+computecanada
|
| 39 |
+
- Transformers: 5.6.2+computecanada
|
| 40 |
+
- Pytorch: 2.9.0+computecanada
|
| 41 |
+
- Datasets: 4.8.4+computecanada
|
| 42 |
+
- Tokenizers: 0.22.2+computecanada
|
| 43 |
+
|
| 44 |
+
## Citations
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
|
| 48 |
+
Cite TRL as:
|
| 49 |
+
|
| 50 |
+
```bibtex
|
| 51 |
+
@software{vonwerra2020trl,
|
| 52 |
+
title = {{TRL: Transformers Reinforcement Learning}},
|
| 53 |
+
author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
|
| 54 |
+
license = {Apache-2.0},
|
| 55 |
+
url = {https://github.com/huggingface/trl},
|
| 56 |
+
year = {2020}
|
| 57 |
+
}
|
| 58 |
+
```
|
flare-medgemma-medgemma15-lora/checkpoint-17000/README.md
ADDED
|
@@ -0,0 +1,209 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: google/medgemma-1.5-4b-it
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:google/medgemma-1.5-4b-it
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.19.1
|
flare-medgemma-medgemma15-lora/checkpoint-17000/adapter_config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "google/medgemma-1.5-4b-it",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 16,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"lora_ga_config": null,
|
| 23 |
+
"megatron_config": null,
|
| 24 |
+
"megatron_core": "megatron.core",
|
| 25 |
+
"modules_to_save": null,
|
| 26 |
+
"peft_type": "LORA",
|
| 27 |
+
"peft_version": "0.19.1",
|
| 28 |
+
"qalora_group_size": 16,
|
| 29 |
+
"r": 16,
|
| 30 |
+
"rank_pattern": {},
|
| 31 |
+
"revision": null,
|
| 32 |
+
"target_modules": [
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"down_proj",
|
| 35 |
+
"fc2",
|
| 36 |
+
"k_proj",
|
| 37 |
+
"fc1",
|
| 38 |
+
"out_proj",
|
| 39 |
+
"v_proj",
|
| 40 |
+
"up_proj",
|
| 41 |
+
"o_proj",
|
| 42 |
+
"q_proj"
|
| 43 |
+
],
|
| 44 |
+
"target_parameters": null,
|
| 45 |
+
"task_type": "CAUSAL_LM",
|
| 46 |
+
"trainable_token_indices": null,
|
| 47 |
+
"use_bdlora": null,
|
| 48 |
+
"use_dora": false,
|
| 49 |
+
"use_qalora": false,
|
| 50 |
+
"use_rslora": false
|
| 51 |
+
}
|
flare-medgemma-medgemma15-lora/checkpoint-17000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5deacc63e2e19e06dc6fa23ba9f314b7e9fdfd1c5b78662dfbe9b2df57156003
|
| 3 |
+
size 77116432
|
flare-medgemma-medgemma15-lora/checkpoint-17000/chat_template.jinja
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{ bos_token }}
|
| 2 |
+
{%- if messages[0]['role'] == 'system' -%}
|
| 3 |
+
{%- if messages[0]['content'] is string -%}
|
| 4 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
| 5 |
+
|
| 6 |
+
' -%}
|
| 7 |
+
{%- else -%}
|
| 8 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
| 9 |
+
|
| 10 |
+
' -%}
|
| 11 |
+
{%- endif -%}
|
| 12 |
+
{%- set loop_messages = messages[1:] -%}
|
| 13 |
+
{%- else -%}
|
| 14 |
+
{%- set first_user_prefix = "" -%}
|
| 15 |
+
{%- set loop_messages = messages -%}
|
| 16 |
+
{%- endif -%}
|
| 17 |
+
{%- for message in loop_messages -%}
|
| 18 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
| 19 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 22 |
+
{%- set role = "model" -%}
|
| 23 |
+
{%- else -%}
|
| 24 |
+
{%- set role = message['role'] -%}
|
| 25 |
+
{%- endif -%}
|
| 26 |
+
{{ '<start_of_turn>' + role + '
|
| 27 |
+
' + (first_user_prefix if loop.first else "") }}
|
| 28 |
+
{%- if message['content'] is string -%}
|
| 29 |
+
{{ message['content'] | trim }}
|
| 30 |
+
{%- elif message['content'] is iterable -%}
|
| 31 |
+
{%- for item in message['content'] -%}
|
| 32 |
+
{%- if item['type'] == 'image' -%}
|
| 33 |
+
{{ '<start_of_image>' }}
|
| 34 |
+
{%- elif item['type'] == 'text' -%}
|
| 35 |
+
{{ item['text'] | trim }}
|
| 36 |
+
{%- endif -%}
|
| 37 |
+
{%- endfor -%}
|
| 38 |
+
{%- else -%}
|
| 39 |
+
{{ raise_exception("Invalid content type") }}
|
| 40 |
+
{%- endif -%}
|
| 41 |
+
{{ '<end_of_turn>
|
| 42 |
+
' }}
|
| 43 |
+
{%- endfor -%}
|
| 44 |
+
{%- if add_generation_prompt -%}
|
| 45 |
+
{{'<start_of_turn>model
|
| 46 |
+
'}}
|
| 47 |
+
{%- endif -%}
|
flare-medgemma-medgemma15-lora/checkpoint-17000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7559ba771bc087526dbdef612bc3b4aaa25f29bc246c08cc6b9672c6334e0a6d
|
| 3 |
+
size 79126053
|
flare-medgemma-medgemma15-lora/checkpoint-17000/processor_config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
| 28 |
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|
flare-medgemma-medgemma15-lora/checkpoint-17000/rng_state.pth
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size 14645
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flare-medgemma-medgemma15-lora/checkpoint-17000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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size 1465
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flare-medgemma-medgemma15-lora/checkpoint-17000/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 33384567
|
flare-medgemma-medgemma15-lora/checkpoint-17000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,26 @@
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"boi_token": "<start_of_image>",
|
| 4 |
+
"bos_token": "<bos>",
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eoi_token": "<end_of_image>",
|
| 7 |
+
"eos_token": "<eos>",
|
| 8 |
+
"image_token": "<image_soft_token>",
|
| 9 |
+
"is_local": false,
|
| 10 |
+
"local_files_only": false,
|
| 11 |
+
"mask_token": "<mask>",
|
| 12 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 13 |
+
"model_specific_special_tokens": {
|
| 14 |
+
"boi_token": "<start_of_image>",
|
| 15 |
+
"eoi_token": "<end_of_image>",
|
| 16 |
+
"image_token": "<image_soft_token>"
|
| 17 |
+
},
|
| 18 |
+
"pad_token": "<pad>",
|
| 19 |
+
"padding_side": "right",
|
| 20 |
+
"processor_class": "Gemma3Processor",
|
| 21 |
+
"sp_model_kwargs": null,
|
| 22 |
+
"spaces_between_special_tokens": false,
|
| 23 |
+
"tokenizer_class": "GemmaTokenizer",
|
| 24 |
+
"unk_token": "<unk>",
|
| 25 |
+
"use_default_system_prompt": false
|
| 26 |
+
}
|
flare-medgemma-medgemma15-lora/checkpoint-17000/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
flare-medgemma-medgemma15-lora/checkpoint-17000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
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|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:e7cafb5cde52b908ce007ba70fb2b52cc4f4dffde9f907f7e5805f932473d809
|
| 3 |
+
size 5905
|
flare-medgemma-medgemma15-lora/checkpoint-17200/README.md
ADDED
|
@@ -0,0 +1,209 @@
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|
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|
|
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|
|
|
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|
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|
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|
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|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: google/medgemma-1.5-4b-it
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:google/medgemma-1.5-4b-it
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.19.1
|
flare-medgemma-medgemma15-lora/checkpoint-17200/adapter_config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "google/medgemma-1.5-4b-it",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 16,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"lora_ga_config": null,
|
| 23 |
+
"megatron_config": null,
|
| 24 |
+
"megatron_core": "megatron.core",
|
| 25 |
+
"modules_to_save": null,
|
| 26 |
+
"peft_type": "LORA",
|
| 27 |
+
"peft_version": "0.19.1",
|
| 28 |
+
"qalora_group_size": 16,
|
| 29 |
+
"r": 16,
|
| 30 |
+
"rank_pattern": {},
|
| 31 |
+
"revision": null,
|
| 32 |
+
"target_modules": [
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"down_proj",
|
| 35 |
+
"fc2",
|
| 36 |
+
"k_proj",
|
| 37 |
+
"fc1",
|
| 38 |
+
"out_proj",
|
| 39 |
+
"v_proj",
|
| 40 |
+
"up_proj",
|
| 41 |
+
"o_proj",
|
| 42 |
+
"q_proj"
|
| 43 |
+
],
|
| 44 |
+
"target_parameters": null,
|
| 45 |
+
"task_type": "CAUSAL_LM",
|
| 46 |
+
"trainable_token_indices": null,
|
| 47 |
+
"use_bdlora": null,
|
| 48 |
+
"use_dora": false,
|
| 49 |
+
"use_qalora": false,
|
| 50 |
+
"use_rslora": false
|
| 51 |
+
}
|
flare-medgemma-medgemma15-lora/checkpoint-17200/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d9a22fbb36edcf31dc600631dd9a152589f79fb5a576f680aa042ea7c5cd3008
|
| 3 |
+
size 77116432
|
flare-medgemma-medgemma15-lora/checkpoint-17200/chat_template.jinja
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{ bos_token }}
|
| 2 |
+
{%- if messages[0]['role'] == 'system' -%}
|
| 3 |
+
{%- if messages[0]['content'] is string -%}
|
| 4 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
| 5 |
+
|
| 6 |
+
' -%}
|
| 7 |
+
{%- else -%}
|
| 8 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
| 9 |
+
|
| 10 |
+
' -%}
|
| 11 |
+
{%- endif -%}
|
| 12 |
+
{%- set loop_messages = messages[1:] -%}
|
| 13 |
+
{%- else -%}
|
| 14 |
+
{%- set first_user_prefix = "" -%}
|
| 15 |
+
{%- set loop_messages = messages -%}
|
| 16 |
+
{%- endif -%}
|
| 17 |
+
{%- for message in loop_messages -%}
|
| 18 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
| 19 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 22 |
+
{%- set role = "model" -%}
|
| 23 |
+
{%- else -%}
|
| 24 |
+
{%- set role = message['role'] -%}
|
| 25 |
+
{%- endif -%}
|
| 26 |
+
{{ '<start_of_turn>' + role + '
|
| 27 |
+
' + (first_user_prefix if loop.first else "") }}
|
| 28 |
+
{%- if message['content'] is string -%}
|
| 29 |
+
{{ message['content'] | trim }}
|
| 30 |
+
{%- elif message['content'] is iterable -%}
|
| 31 |
+
{%- for item in message['content'] -%}
|
| 32 |
+
{%- if item['type'] == 'image' -%}
|
| 33 |
+
{{ '<start_of_image>' }}
|
| 34 |
+
{%- elif item['type'] == 'text' -%}
|
| 35 |
+
{{ item['text'] | trim }}
|
| 36 |
+
{%- endif -%}
|
| 37 |
+
{%- endfor -%}
|
| 38 |
+
{%- else -%}
|
| 39 |
+
{{ raise_exception("Invalid content type") }}
|
| 40 |
+
{%- endif -%}
|
| 41 |
+
{{ '<end_of_turn>
|
| 42 |
+
' }}
|
| 43 |
+
{%- endfor -%}
|
| 44 |
+
{%- if add_generation_prompt -%}
|
| 45 |
+
{{'<start_of_turn>model
|
| 46 |
+
'}}
|
| 47 |
+
{%- endif -%}
|
flare-medgemma-medgemma15-lora/checkpoint-17200/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:184f6a2ec4001c6b02b9ee7055caef68fb0a3cb3b51b1f5dbb04b6f65f037391
|
| 3 |
+
size 79126053
|
flare-medgemma-medgemma15-lora/checkpoint-17200/processor_config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
+
0.5,
|
| 10 |
+
0.5
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "Gemma3ImageProcessor",
|
| 13 |
+
"image_seq_length": 256,
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"resample": 2,
|
| 20 |
+
"rescale_factor": 0.00392156862745098,
|
| 21 |
+
"size": {
|
| 22 |
+
"height": 896,
|
| 23 |
+
"width": 896
|
| 24 |
+
}
|
| 25 |
+
},
|
| 26 |
+
"image_seq_length": 256,
|
| 27 |
+
"processor_class": "Gemma3Processor"
|
| 28 |
+
}
|
flare-medgemma-medgemma15-lora/checkpoint-17200/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:da0937033e6fbb399be54851f544191f001f2927fa7d9280b8deac2d1d9e7e51
|
| 3 |
+
size 14645
|
flare-medgemma-medgemma15-lora/checkpoint-17200/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b8f4c6e76e7259f0e5399c4131104fb8e4bce6c9f02b1ac528873610791e33c6
|
| 3 |
+
size 1465
|
flare-medgemma-medgemma15-lora/checkpoint-17200/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:daab2354f8a74e70d70b4d1f804939b68a8c9624dd06cb7858e52dd8970e9726
|
| 3 |
+
size 33384567
|
flare-medgemma-medgemma15-lora/checkpoint-17200/tokenizer_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"boi_token": "<start_of_image>",
|
| 4 |
+
"bos_token": "<bos>",
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eoi_token": "<end_of_image>",
|
| 7 |
+
"eos_token": "<eos>",
|
| 8 |
+
"image_token": "<image_soft_token>",
|
| 9 |
+
"is_local": false,
|
| 10 |
+
"local_files_only": false,
|
| 11 |
+
"mask_token": "<mask>",
|
| 12 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 13 |
+
"model_specific_special_tokens": {
|
| 14 |
+
"boi_token": "<start_of_image>",
|
| 15 |
+
"eoi_token": "<end_of_image>",
|
| 16 |
+
"image_token": "<image_soft_token>"
|
| 17 |
+
},
|
| 18 |
+
"pad_token": "<pad>",
|
| 19 |
+
"padding_side": "right",
|
| 20 |
+
"processor_class": "Gemma3Processor",
|
| 21 |
+
"sp_model_kwargs": null,
|
| 22 |
+
"spaces_between_special_tokens": false,
|
| 23 |
+
"tokenizer_class": "GemmaTokenizer",
|
| 24 |
+
"unk_token": "<unk>",
|
| 25 |
+
"use_default_system_prompt": false
|
| 26 |
+
}
|
flare-medgemma-medgemma15-lora/checkpoint-17200/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
flare-medgemma-medgemma15-lora/checkpoint-17200/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7cafb5cde52b908ce007ba70fb2b52cc4f4dffde9f907f7e5805f932473d809
|
| 3 |
+
size 5905
|
flare-medgemma-medgemma15-lora/checkpoint-17208/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: google/medgemma-1.5-4b-it
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:google/medgemma-1.5-4b-it
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.19.1
|
flare-medgemma-medgemma15-lora/checkpoint-17208/adapter_config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
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|
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|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "google/medgemma-1.5-4b-it",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 16,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"lora_ga_config": null,
|
| 23 |
+
"megatron_config": null,
|
| 24 |
+
"megatron_core": "megatron.core",
|
| 25 |
+
"modules_to_save": null,
|
| 26 |
+
"peft_type": "LORA",
|
| 27 |
+
"peft_version": "0.19.1",
|
| 28 |
+
"qalora_group_size": 16,
|
| 29 |
+
"r": 16,
|
| 30 |
+
"rank_pattern": {},
|
| 31 |
+
"revision": null,
|
| 32 |
+
"target_modules": [
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"down_proj",
|
| 35 |
+
"fc2",
|
| 36 |
+
"k_proj",
|
| 37 |
+
"fc1",
|
| 38 |
+
"out_proj",
|
| 39 |
+
"v_proj",
|
| 40 |
+
"up_proj",
|
| 41 |
+
"o_proj",
|
| 42 |
+
"q_proj"
|
| 43 |
+
],
|
| 44 |
+
"target_parameters": null,
|
| 45 |
+
"task_type": "CAUSAL_LM",
|
| 46 |
+
"trainable_token_indices": null,
|
| 47 |
+
"use_bdlora": null,
|
| 48 |
+
"use_dora": false,
|
| 49 |
+
"use_qalora": false,
|
| 50 |
+
"use_rslora": false
|
| 51 |
+
}
|
flare-medgemma-medgemma15-lora/checkpoint-17208/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2ef5d91bdfc89fa724c45ab3248ac37dc7baaf3b80b87107527b5d739fed28d
|
| 3 |
+
size 77116432
|
flare-medgemma-medgemma15-lora/checkpoint-17208/chat_template.jinja
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
|
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|
|
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|
|
|
|
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|
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|
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|
|
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|
|
|
|
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|
|
|
|
| 1 |
+
{{ bos_token }}
|
| 2 |
+
{%- if messages[0]['role'] == 'system' -%}
|
| 3 |
+
{%- if messages[0]['content'] is string -%}
|
| 4 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
| 5 |
+
|
| 6 |
+
' -%}
|
| 7 |
+
{%- else -%}
|
| 8 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
| 9 |
+
|
| 10 |
+
' -%}
|
| 11 |
+
{%- endif -%}
|
| 12 |
+
{%- set loop_messages = messages[1:] -%}
|
| 13 |
+
{%- else -%}
|
| 14 |
+
{%- set first_user_prefix = "" -%}
|
| 15 |
+
{%- set loop_messages = messages -%}
|
| 16 |
+
{%- endif -%}
|
| 17 |
+
{%- for message in loop_messages -%}
|
| 18 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
| 19 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 22 |
+
{%- set role = "model" -%}
|
| 23 |
+
{%- else -%}
|
| 24 |
+
{%- set role = message['role'] -%}
|
| 25 |
+
{%- endif -%}
|
| 26 |
+
{{ '<start_of_turn>' + role + '
|
| 27 |
+
' + (first_user_prefix if loop.first else "") }}
|
| 28 |
+
{%- if message['content'] is string -%}
|
| 29 |
+
{{ message['content'] | trim }}
|
| 30 |
+
{%- elif message['content'] is iterable -%}
|
| 31 |
+
{%- for item in message['content'] -%}
|
| 32 |
+
{%- if item['type'] == 'image' -%}
|
| 33 |
+
{{ '<start_of_image>' }}
|
| 34 |
+
{%- elif item['type'] == 'text' -%}
|
| 35 |
+
{{ item['text'] | trim }}
|
| 36 |
+
{%- endif -%}
|
| 37 |
+
{%- endfor -%}
|
| 38 |
+
{%- else -%}
|
| 39 |
+
{{ raise_exception("Invalid content type") }}
|
| 40 |
+
{%- endif -%}
|
| 41 |
+
{{ '<end_of_turn>
|
| 42 |
+
' }}
|
| 43 |
+
{%- endfor -%}
|
| 44 |
+
{%- if add_generation_prompt -%}
|
| 45 |
+
{{'<start_of_turn>model
|
| 46 |
+
'}}
|
| 47 |
+
{%- endif -%}
|
flare-medgemma-medgemma15-lora/checkpoint-17208/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
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|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:31a742e004fc9dac896c9f49e2edceb89070d779d5e22e67c66a85efec22e3b5
|
| 3 |
+
size 79126053
|
flare-medgemma-medgemma15-lora/checkpoint-17208/processor_config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
+
0.5,
|
| 10 |
+
0.5
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "Gemma3ImageProcessor",
|
| 13 |
+
"image_seq_length": 256,
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"resample": 2,
|
| 20 |
+
"rescale_factor": 0.00392156862745098,
|
| 21 |
+
"size": {
|
| 22 |
+
"height": 896,
|
| 23 |
+
"width": 896
|
| 24 |
+
}
|
| 25 |
+
},
|
| 26 |
+
"image_seq_length": 256,
|
| 27 |
+
"processor_class": "Gemma3Processor"
|
| 28 |
+
}
|
flare-medgemma-medgemma15-lora/checkpoint-17208/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:98e4b06e9cd2966f055522ac64831c7af7534d73ac7d3362714cecabc7f0130f
|
| 3 |
+
size 14645
|
flare-medgemma-medgemma15-lora/checkpoint-17208/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a23a73e235336b4b6f2397db719a95907cb035346f18c26391475acde4fafb26
|
| 3 |
+
size 1465
|
flare-medgemma-medgemma15-lora/checkpoint-17208/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:daab2354f8a74e70d70b4d1f804939b68a8c9624dd06cb7858e52dd8970e9726
|
| 3 |
+
size 33384567
|
flare-medgemma-medgemma15-lora/checkpoint-17208/tokenizer_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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+
{
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| 2 |
+
"backend": "tokenizers",
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| 3 |
+
"boi_token": "<start_of_image>",
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| 4 |
+
"bos_token": "<bos>",
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| 5 |
+
"clean_up_tokenization_spaces": false,
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| 6 |
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"eoi_token": "<end_of_image>",
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| 7 |
+
"eos_token": "<eos>",
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| 8 |
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"image_token": "<image_soft_token>",
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| 9 |
+
"is_local": false,
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| 10 |
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"local_files_only": false,
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| 11 |
+
"mask_token": "<mask>",
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| 12 |
+
"model_max_length": 1000000000000000019884624838656,
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| 13 |
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"model_specific_special_tokens": {
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| 14 |
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"boi_token": "<start_of_image>",
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| 15 |
+
"eoi_token": "<end_of_image>",
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| 16 |
+
"image_token": "<image_soft_token>"
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| 17 |
+
},
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| 18 |
+
"pad_token": "<pad>",
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| 19 |
+
"padding_side": "right",
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| 20 |
+
"processor_class": "Gemma3Processor",
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| 21 |
+
"sp_model_kwargs": null,
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| 22 |
+
"spaces_between_special_tokens": false,
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| 23 |
+
"tokenizer_class": "GemmaTokenizer",
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| 24 |
+
"unk_token": "<unk>",
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| 25 |
+
"use_default_system_prompt": false
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| 26 |
+
}
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flare-medgemma-medgemma15-lora/checkpoint-17208/trainer_state.json
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flare-medgemma-medgemma15-lora/checkpoint-17208/training_args.bin
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7cafb5cde52b908ce007ba70fb2b52cc4f4dffde9f907f7e5805f932473d809
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| 3 |
+
size 5905
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