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End of training

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  1. README.md +32 -7
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ 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: 0.8358
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  ## Model description
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@@ -40,17 +40,42 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 5 | 2.8697 |
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- | No log | 2.0 | 10 | 1.9203 |
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- | No log | 3.0 | 15 | 1.3114 |
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- | No log | 4.0 | 20 | 0.9713 |
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- | No log | 5.0 | 25 | 0.8358 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.0064
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 30
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 5 | 2.8497 |
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+ | No log | 2.0 | 10 | 2.0819 |
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+ | No log | 3.0 | 15 | 1.7468 |
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+ | No log | 4.0 | 20 | 1.2522 |
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+ | No log | 5.0 | 25 | 0.6961 |
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+ | No log | 6.0 | 30 | 0.2864 |
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+ | No log | 7.0 | 35 | 0.1121 |
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+ | No log | 8.0 | 40 | 0.0688 |
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+ | No log | 9.0 | 45 | 0.0579 |
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+ | No log | 10.0 | 50 | 0.0459 |
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+ | No log | 11.0 | 55 | 0.0411 |
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+ | No log | 12.0 | 60 | 0.0382 |
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+ | No log | 13.0 | 65 | 0.0345 |
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+ | No log | 14.0 | 70 | 0.0289 |
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+ | No log | 15.0 | 75 | 0.0228 |
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+ | No log | 16.0 | 80 | 0.0175 |
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+ | No log | 17.0 | 85 | 0.0134 |
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+ | No log | 18.0 | 90 | 0.0130 |
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+ | No log | 19.0 | 95 | 0.0130 |
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+ | No log | 20.0 | 100 | 0.0104 |
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+ | No log | 21.0 | 105 | 0.0096 |
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+ | No log | 22.0 | 110 | 0.0084 |
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+ | No log | 23.0 | 115 | 0.0075 |
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+ | No log | 24.0 | 120 | 0.0065 |
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+ | No log | 25.0 | 125 | 0.0067 |
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+ | No log | 26.0 | 130 | 0.0068 |
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+ | No log | 27.0 | 135 | 0.0069 |
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+ | No log | 28.0 | 140 | 0.0066 |
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+ | No log | 29.0 | 145 | 0.0066 |
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+ | No log | 30.0 | 150 | 0.0064 |
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  ### Framework versions
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