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End of training

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  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2403
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- - Accuracy: 0.9434
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 30 | 0.3607 | 0.8742 |
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- | No log | 2.0 | 60 | 0.4131 | 0.8742 |
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- | No log | 3.0 | 90 | 0.2807 | 0.8553 |
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- | No log | 4.0 | 120 | 0.3615 | 0.8742 |
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- | No log | 5.0 | 150 | 0.2737 | 0.8994 |
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- | No log | 6.0 | 180 | 0.2764 | 0.8805 |
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- | No log | 7.0 | 210 | 0.2486 | 0.9057 |
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- | No log | 8.0 | 240 | 0.2557 | 0.8994 |
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- | No log | 9.0 | 270 | 0.2578 | 0.9057 |
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- | No log | 10.0 | 300 | 0.2403 | 0.9434 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2064
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+ - Accuracy: 0.9119
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 30 | 0.3752 | 0.8742 |
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+ | No log | 2.0 | 60 | 0.3463 | 0.8742 |
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+ | No log | 3.0 | 90 | 0.2804 | 0.8742 |
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+ | No log | 4.0 | 120 | 0.2925 | 0.8805 |
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+ | No log | 5.0 | 150 | 0.2599 | 0.8868 |
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+ | No log | 6.0 | 180 | 0.2527 | 0.8931 |
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+ | No log | 7.0 | 210 | 0.2176 | 0.8994 |
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+ | No log | 8.0 | 240 | 0.2105 | 0.8994 |
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+ | No log | 9.0 | 270 | 0.2096 | 0.9119 |
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+ | No log | 10.0 | 300 | 0.2064 | 0.9119 |
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  ### Framework versions
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