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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: hsohn3/mayo-bert-uncased-wordlevel-block512-ep10 |
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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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# hsohn3/mayo-bert-uncased-wordlevel-block512-ep10 |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-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: 0.3171 |
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- Epoch: 9 |
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## Model description |
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- base_model: bert-base-uncased |
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- block_size: 512 |
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- tokenizer: ehr-bert-wordlevel-uncased |
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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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- MAYO visit-level texts |
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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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- mlm_probability: 0.15 |
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- batch_size: 8 |
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- epochs: 10 |
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### Training results |
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| Train Loss | Epoch | |
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|:----------:|:-----:| |
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| 3.0885 | 0 | |
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| 2.8340 | 1 | |
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| 2.7975 | 2 | |
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| 2.6720 | 3 | |
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| 2.4868 | 4 | |
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| 2.1750 | 5 | |
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| 1.8143 | 6 | |
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| 1.0948 | 7 | |
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| 0.4915 | 8 | |
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| 0.3171 | 9 | |
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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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