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--- |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: distilbert_new2_0020 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# distilbert_new2_0020 |
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This model is a fine-tuned version of [/content/drive/MyDrive/Colab Notebooks/oscar/trybackup_distilbert/new_backup_0105105](https://huggingface.co//content/drive/MyDrive/Colab Notebooks/oscar/trybackup_distilbert/new_backup_0105105) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.9920 |
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- Validation Loss: 0.9688 |
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- Epoch: 19 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 1.0180 | 0.9873 | 0 | |
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| 1.0163 | 0.9878 | 1 | |
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| 1.0145 | 0.9856 | 2 | |
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| 1.0139 | 0.9830 | 3 | |
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| 1.0122 | 0.9831 | 4 | |
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| 1.0118 | 0.9830 | 5 | |
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| 1.0094 | 0.9800 | 6 | |
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| 1.0075 | 0.9809 | 7 | |
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| 1.0066 | 0.9784 | 8 | |
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| 1.0062 | 0.9768 | 9 | |
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| 1.0032 | 0.9751 | 10 | |
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| 1.0023 | 0.9764 | 11 | |
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| 1.0008 | 0.9735 | 12 | |
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| 0.9994 | 0.9730 | 13 | |
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| 0.9986 | 0.9761 | 14 | |
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| 0.9975 | 0.9714 | 15 | |
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| 0.9953 | 0.9708 | 16 | |
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| 0.9941 | 0.9683 | 17 | |
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| 0.9933 | 0.9681 | 18 | |
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| 0.9920 | 0.9688 | 19 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- TensorFlow 2.8.2 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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