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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: lmarchyok/results-50 |
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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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# lmarchyok/results-50 |
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This model is a fine-tuned version of [pretrained_models/ClinicalBERT_1a/pytorch_model.bin](https://huggingface.co/pretrained_models/ClinicalBERT_1a/pytorch_model.bin) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 4.5325 |
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- Validation Loss: 4.4198 |
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- Epoch: 9 |
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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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -876, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: mixed_float16 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 10.5607 | 8.8480 | 0 | |
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| 8.3720 | 7.8520 | 1 | |
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| 7.5093 | 6.9899 | 2 | |
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| 6.5973 | 5.9553 | 3 | |
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| 5.7612 | 5.2994 | 4 | |
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| 5.3788 | 4.9743 | 5 | |
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| 5.0024 | 4.7610 | 6 | |
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| 4.6840 | 4.4494 | 7 | |
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| 4.5158 | 4.3961 | 8 | |
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| 4.5325 | 4.4198 | 9 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- TensorFlow 2.11.0 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.2 |
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