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End of training

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  1. README.md +8 -7
  2. runs/Mar11_06-55-43_52dd5b86094b/events.out.tfevents.1710140144.52dd5b86094b.7559.6 +2 -2
  3. runs/Mar11_06-55-43_52dd5b86094b/events.out.tfevents.1710140533.52dd5b86094b.7559.7 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8867
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- - Accuracy: 0.6773
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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: 5e-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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  - 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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- | No log | 1.0 | 179 | 0.6222 | 0.6775 |
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- | No log | 2.0 | 358 | 0.6218 | 0.6921 |
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- | 0.4718 | 3.0 | 537 | 0.8141 | 0.7141 |
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4700
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+ - Accuracy: 0.6837
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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: 7.45e-06
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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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  - 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: 4
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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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+ | No log | 1.0 | 179 | 1.0842 | 0.7058 |
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+ | No log | 2.0 | 358 | 1.1818 | 0.7246 |
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+ | 0.0989 | 3.0 | 537 | 1.3344 | 0.7183 |
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+ | 0.0989 | 4.0 | 716 | 1.3794 | 0.7173 |
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  ### Framework versions
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