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---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: hsohn3/mayo-bert-uncased-wordlevel-block512-ep10
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# hsohn3/mayo-bert-uncased-wordlevel-block512-ep10
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3171
- Epoch: 9
## Model description
- base_model: bert-base-uncased
- block_size: 512
- tokenizer: ehr-bert-wordlevel-uncased
## Intended uses & limitations
More information needed
## Training and evaluation data
- MAYO visit-level texts
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- 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}
- training_precision: float32
- mlm_probability: 0.15
- batch_size: 8
- epochs: 10
### Training results
| Train Loss | Epoch |
|:----------:|:-----:|
| 3.0885 | 0 |
| 2.8340 | 1 |
| 2.7975 | 2 |
| 2.6720 | 3 |
| 2.4868 | 4 |
| 2.1750 | 5 |
| 1.8143 | 6 |
| 1.0948 | 7 |
| 0.4915 | 8 |
| 0.3171 | 9 |
### Framework versions
- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1
|