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End of training

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  1. README.md +7 -9
  2. pytorch_model.bin +1 -1
  3. training_args.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 [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: 2.1789
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  ## Model description
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@@ -40,17 +40,15 @@ 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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- | 2.1933 | 1.0 | 2609 | 2.1936 |
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- | 2.1933 | 2.0 | 5218 | 2.1849 |
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- | 2.1897 | 3.0 | 7827 | 2.1843 |
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- | 2.1856 | 4.0 | 10436 | 2.1814 |
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- | 2.186 | 5.0 | 13045 | 2.1789 |
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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: 1.2218
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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: 3
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.2691 | 1.0 | 2609 | nan |
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+ | 1.2346 | 2.0 | 5218 | 1.2659 |
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+ | 1.2257 | 3.0 | 7827 | 1.2218 |
 
 
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  ### Framework versions
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