---
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