Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/convnext-base-224-22k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Validated_Balanced_Raw_Data_model_boost5
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Validated_Balanced_Raw_Data_model_boost5
+
+This model is a fine-tuned version of [facebook/convnext-base-224-22k](https://huggingface.co/facebook/convnext-base-224-22k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2133
+- Accuracy: 0.5283
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1337
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 30.0
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3971        | 1.0   | 80   | 1.3381          | 0.3585   |
+| 1.3299        | 2.0   | 160  | 1.2897          | 0.3632   |
+| 1.2782        | 3.0   | 240  | 1.2422          | 0.4151   |
+| 1.2159        | 4.0   | 320  | 1.1955          | 0.4434   |
+| 1.1707        | 5.0   | 400  | 1.1769          | 0.5047   |
+| 1.1314        | 6.0   | 480  | 1.1844          | 0.4858   |
+| 1.0789        | 7.0   | 560  | 1.1870          | 0.5142   |
+| 1.0419        | 8.0   | 640  | 1.1317          | 0.5377   |
+| 1.0222        | 9.0   | 720  | 1.2062          | 0.4906   |
+| 1.0077        | 10.0  | 800  | 1.1582          | 0.4764   |
+| 0.9161        | 11.0  | 880  | 1.1841          | 0.5047   |
+| 0.9066        | 12.0  | 960  | 1.1603          | 0.5236   |
+| 0.8948        | 13.0  | 1040 | 1.1681          | 0.4906   |
+| 0.8382        | 14.0  | 1120 | 1.1980          | 0.4953   |
+| 0.8279        | 15.0  | 1200 | 1.2145          | 0.4953   |
+| 0.7839        | 16.0  | 1280 | 1.2142          | 0.5      |
+| 0.7797        | 17.0  | 1360 | 1.2288          | 0.5      |
+| 0.7794        | 18.0  | 1440 | 1.2374          | 0.5      |
+| 0.7447        | 19.0  | 1520 | 1.2071          | 0.5047   |
+| 0.7101        | 20.0  | 1600 | 1.1943          | 0.5142   |
+| 0.7229        | 21.0  | 1680 | 1.1930          | 0.5142   |
+| 0.6906        | 22.0  | 1760 | 1.2124          | 0.5189   |
+| 0.6743        | 23.0  | 1840 | 1.2044          | 0.5283   |
+| 0.7181        | 24.0  | 1920 | 1.2020          | 0.5330   |
+| 0.7323        | 25.0  | 2000 | 1.2088          | 0.5236   |
+| 0.6597        | 26.0  | 2080 | 1.2148          | 0.5189   |
+| 0.6476        | 27.0  | 2160 | 1.2144          | 0.5189   |
+| 0.6792        | 28.0  | 2240 | 1.2133          | 0.5142   |
+| 0.6455        | 29.0  | 2320 | 1.2134          | 0.5283   |
+| 0.6719        | 30.0  | 2400 | 1.2133          | 0.5283   |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.3.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3

model.safetensors

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+oid sha256:58d98de21214477a863552c8fa24feec60d27161473974cad1130eaf4fed3a04
 size 350323416