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--- |
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license: apache-2.0 |
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base_model: distilbert-base-cased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: EricPeter/distilbert-base-cased-270823 |
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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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# EricPeter/distilbert-base-cased-270823 |
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1660 |
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- Epoch: 39 |
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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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2596, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 4, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.06}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} |
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- training_precision: mixed_float16 |
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### Training results |
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| Train Loss | Epoch | |
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|:----------:|:-----:| |
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| 4.3370 | 0 | |
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| 3.0157 | 1 | |
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| 2.5394 | 2 | |
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| 2.1440 | 3 | |
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| 1.6916 | 4 | |
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| 1.2670 | 5 | |
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| 0.9564 | 6 | |
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| 0.7104 | 7 | |
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| 0.5675 | 8 | |
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| 0.4794 | 9 | |
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| 0.4146 | 10 | |
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| 0.3559 | 11 | |
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| 0.3041 | 12 | |
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| 0.3285 | 13 | |
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| 0.2704 | 14 | |
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| 0.2513 | 15 | |
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| 0.2537 | 16 | |
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| 0.2422 | 17 | |
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| 0.2162 | 18 | |
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| 0.2217 | 19 | |
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| 0.2135 | 20 | |
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| 0.2084 | 21 | |
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| 0.2009 | 22 | |
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| 0.2010 | 23 | |
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| 0.2020 | 24 | |
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| 0.1951 | 25 | |
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| 0.1939 | 26 | |
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| 0.1914 | 27 | |
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| 0.1868 | 28 | |
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| 0.1805 | 29 | |
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| 0.1877 | 30 | |
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| 0.1747 | 31 | |
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| 0.1676 | 32 | |
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| 0.1793 | 33 | |
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| 0.1774 | 34 | |
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| 0.1742 | 35 | |
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| 0.1690 | 36 | |
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| 0.1735 | 37 | |
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| 0.1706 | 38 | |
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| 0.1660 | 39 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- TensorFlow 2.12.0 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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