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Training in progress, epoch 1

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  1. README.md +5 -6
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6400
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- - Accuracy: 0.7389
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  ## Model description
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@@ -42,15 +42,14 @@ 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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.5488 | 1.0 | 1230 | 0.5486 | 0.7194 |
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- | 0.4161 | 2.0 | 2460 | 0.5310 | 0.7519 |
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- | 0.2961 | 3.0 | 3690 | 0.6400 | 0.7389 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4773
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+ - Accuracy: 0.7981
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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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.5683 | 1.0 | 840 | 0.4790 | 0.7814 |
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+ | 0.3602 | 2.0 | 1680 | 0.4773 | 0.7981 |
 
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  ### Framework versions
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