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--- |
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license: apache-2.0 |
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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_oscarth_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_oscarth_0020 |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.4909 |
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- Validation Loss: 1.4161 |
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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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| 4.1327 | 2.9983 | 0 | |
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| 2.7813 | 2.4562 | 1 | |
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| 2.4194 | 2.2066 | 2 | |
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| 2.2231 | 2.0562 | 3 | |
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| 2.0894 | 1.9450 | 4 | |
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| 1.9905 | 1.8621 | 5 | |
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| 1.9148 | 1.7941 | 6 | |
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| 1.8508 | 1.7363 | 7 | |
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| 1.7976 | 1.6909 | 8 | |
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| 1.7509 | 1.6488 | 9 | |
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| 1.7126 | 1.6124 | 10 | |
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| 1.6764 | 1.5835 | 11 | |
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| 1.6450 | 1.5521 | 12 | |
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| 1.6175 | 1.5282 | 13 | |
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| 1.5919 | 1.5045 | 14 | |
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| 1.5679 | 1.4833 | 15 | |
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| 1.5476 | 1.4627 | 16 | |
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| 1.5271 | 1.4498 | 17 | |
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| 1.5098 | 1.4270 | 18 | |
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| 1.4909 | 1.4161 | 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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