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End of training

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README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0015
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  - Precision: 1.0
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  - Recall: 1.0
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  - F1: 1.0
@@ -43,7 +43,7 @@ More information needed
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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: 8
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  - eval_batch_size: 8
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  - seed: 42
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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- | No log | 1.0 | 5 | 0.3747 | 1.0 | 0.25 | 0.4 | 0.76 |
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- | No log | 2.0 | 10 | 0.1132 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 3.0 | 15 | 0.0180 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 4.0 | 20 | 0.0054 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 5.0 | 25 | 0.0028 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 6.0 | 30 | 0.0020 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 7.0 | 35 | 0.0017 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 8.0 | 40 | 0.0016 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 9.0 | 45 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 10.0 | 50 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0279
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  - Precision: 1.0
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  - Recall: 1.0
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  - F1: 1.0
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 5 | 0.6770 | 1.0 | 0.125 | 0.2222 | 0.72 |
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+ | No log | 2.0 | 10 | 0.4498 | 1.0 | 0.375 | 0.5455 | 0.8 |
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+ | No log | 3.0 | 15 | 0.2710 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 4.0 | 20 | 0.1612 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 5.0 | 25 | 0.0898 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 6.0 | 30 | 0.0528 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 7.0 | 35 | 0.0377 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 8.0 | 40 | 0.0314 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 9.0 | 45 | 0.0287 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 10.0 | 50 | 0.0279 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
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