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End of training

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  1. README.md +7 -6
  2. runs/Mar11_06-21-33_52dd5b86094b/events.out.tfevents.1710138094.52dd5b86094b.7559.4 +2 -2
  3. runs/Mar11_06-21-33_52dd5b86094b/events.out.tfevents.1710140119.52dd5b86094b.7559.5 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -32,7 +32,7 @@ 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 emotion dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1786
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  - Accuracy: 0.929
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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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- | 0.218 | 1.0 | 1000 | 0.1718 | 0.9335 |
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- | 0.1272 | 2.0 | 2000 | 0.1489 | 0.9345 |
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- | 0.0924 | 3.0 | 3000 | 0.1632 | 0.9435 |
 
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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 emotion dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3674
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  - Accuracy: 0.929
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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: 8.42e-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: 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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+ | 0.1807 | 1.0 | 1000 | 0.2292 | 0.927 |
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+ | 0.1326 | 2.0 | 2000 | 0.2684 | 0.9305 |
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+ | 0.0675 | 3.0 | 3000 | 0.2977 | 0.938 |
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+ | 0.0341 | 4.0 | 4000 | 0.3249 | 0.9385 |
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  ### Framework versions
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