End of training
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README.md
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@@ -5,6 +5,8 @@ base_model: FacebookAI/roberta-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: roberta-base-pr
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@@ -18,9 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 | 240 | 0.
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| No log | 2.0 | 480 | 0.
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### Framework versions
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- accuracy
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model-index:
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- name: roberta-base-pr
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8802
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- F1 Macro: 0.6182
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- Precision: 0.6222
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- Recall: 0.6202
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- Accuracy: 0.7742
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## Model description
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | Precision | Recall | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
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| No log | 1.0 | 240 | 0.8923 | 0.4815 | 0.5010 | 0.5028 | 0.7107 |
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| No log | 2.0 | 480 | 0.7876 | 0.5690 | 0.6087 | 0.5772 | 0.7477 |
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| 1.0781 | 3.0 | 720 | 0.7258 | 0.6166 | 0.6277 | 0.6229 | 0.7758 |
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| 1.0781 | 4.0 | 960 | 0.7538 | 0.6301 | 0.6368 | 0.6323 | 0.7804 |
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| 0.5204 | 5.0 | 1200 | 0.7760 | 0.6278 | 0.6424 | 0.6297 | 0.7825 |
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| 0.5204 | 6.0 | 1440 | 0.8245 | 0.6240 | 0.6264 | 0.6278 | 0.7789 |
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| 0.3145 | 7.0 | 1680 | 0.8588 | 0.6156 | 0.6189 | 0.6184 | 0.7726 |
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| 0.3145 | 8.0 | 1920 | 0.8802 | 0.6182 | 0.6222 | 0.6202 | 0.7742 |
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### Framework versions
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model.safetensors
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