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Token Classification
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Safetensors
camembert
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Coolaps/TD3

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  1. README.md +22 -22
  2. model.safetensors +1 -1
  3. runs/Jan18_20-59-42_d8e081d7b2ed/events.out.tfevents.1705611582.d8e081d7b2ed.213.10 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0206
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
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- - Accuracy: 0.9952
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  ## Model description
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@@ -55,26 +55,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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- | No log | 1.0 | 25 | 0.0892 | 0.0 | 0.0 | 0.0 | 0.9818 |
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- | No log | 2.0 | 50 | 0.0515 | 0.0 | 0.0 | 0.0 | 0.9834 |
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- | No log | 3.0 | 75 | 0.0348 | 0.0 | 0.0 | 0.0 | 0.9921 |
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- | No log | 4.0 | 100 | 0.0259 | 0.0 | 0.0 | 0.0 | 0.9949 |
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- | No log | 5.0 | 125 | 0.0182 | 0.0 | 0.0 | 0.0 | 0.9956 |
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- | No log | 6.0 | 150 | 0.0183 | 0.0 | 0.0 | 0.0 | 0.9952 |
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- | No log | 7.0 | 175 | 0.0188 | 0.0 | 0.0 | 0.0 | 0.9952 |
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- | No log | 8.0 | 200 | 0.0218 | 0.0 | 0.0 | 0.0 | 0.9941 |
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- | No log | 9.0 | 225 | 0.0249 | 0.0 | 0.0 | 0.0 | 0.9941 |
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- | No log | 10.0 | 250 | 0.0189 | 0.0 | 0.0 | 0.0 | 0.9956 |
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- | No log | 11.0 | 275 | 0.0180 | 0.0 | 0.0 | 0.0 | 0.9952 |
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- | No log | 12.0 | 300 | 0.0169 | 0.0 | 0.0 | 0.0 | 0.9968 |
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- | No log | 13.0 | 325 | 0.0155 | 0.0 | 0.0 | 0.0 | 0.9968 |
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- | No log | 14.0 | 350 | 0.0164 | 0.0 | 0.0 | 0.0 | 0.9964 |
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- | No log | 15.0 | 375 | 0.0174 | 0.0 | 0.0 | 0.0 | 0.9949 |
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- | No log | 16.0 | 400 | 0.0168 | 0.0 | 0.0 | 0.0 | 0.9956 |
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- | No log | 17.0 | 425 | 0.0174 | 0.0 | 0.0 | 0.0 | 0.9960 |
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- | No log | 18.0 | 450 | 0.0170 | 0.0 | 0.0 | 0.0 | 0.9960 |
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- | No log | 19.0 | 475 | 0.0200 | 0.0 | 0.0 | 0.0 | 0.9949 |
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- | 0.0231 | 20.0 | 500 | 0.0206 | 0.0 | 0.0 | 0.0 | 0.9952 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0181
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
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+ - Accuracy: 0.9960
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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+ | No log | 1.0 | 25 | 0.0900 | 0.0 | 0.0 | 0.0 | 0.9818 |
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+ | No log | 2.0 | 50 | 0.0557 | 0.0 | 0.0 | 0.0 | 0.9822 |
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+ | No log | 3.0 | 75 | 0.0546 | 0.0 | 0.0 | 0.0 | 0.9889 |
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+ | No log | 4.0 | 100 | 0.0287 | 0.0 | 0.0 | 0.0 | 0.9945 |
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+ | No log | 5.0 | 125 | 0.0240 | 0.0 | 0.0 | 0.0 | 0.9941 |
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+ | No log | 6.0 | 150 | 0.0179 | 0.0 | 0.0 | 0.0 | 0.9956 |
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+ | No log | 7.0 | 175 | 0.0163 | 0.0 | 0.0 | 0.0 | 0.9964 |
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+ | No log | 8.0 | 200 | 0.0189 | 0.0 | 0.0 | 0.0 | 0.9952 |
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+ | No log | 9.0 | 225 | 0.0169 | 0.0 | 0.0 | 0.0 | 0.9960 |
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+ | No log | 10.0 | 250 | 0.0145 | 0.0 | 0.0 | 0.0 | 0.9968 |
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+ | No log | 11.0 | 275 | 0.0164 | 0.0 | 0.0 | 0.0 | 0.9964 |
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+ | No log | 12.0 | 300 | 0.0153 | 0.0 | 0.0 | 0.0 | 0.9964 |
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+ | No log | 13.0 | 325 | 0.0153 | 0.0 | 0.0 | 0.0 | 0.9964 |
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+ | No log | 14.0 | 350 | 0.0161 | 0.0 | 0.0 | 0.0 | 0.9964 |
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+ | No log | 15.0 | 375 | 0.0164 | 0.0 | 0.0 | 0.0 | 0.9964 |
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+ | No log | 16.0 | 400 | 0.0166 | 0.0 | 0.0 | 0.0 | 0.9964 |
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+ | No log | 17.0 | 425 | 0.0161 | 0.0 | 0.0 | 0.0 | 0.9964 |
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+ | No log | 18.0 | 450 | 0.0166 | 0.0 | 0.0 | 0.0 | 0.9956 |
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+ | No log | 19.0 | 475 | 0.0182 | 0.0 | 0.0 | 0.0 | 0.9960 |
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+ | 0.0262 | 20.0 | 500 | 0.0181 | 0.0 | 0.0 | 0.0 | 0.9960 |
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  ### Framework versions
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