---
tags:
- generated_from_keras_callback
model-index:
- name: lmarchyok/results-10
  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. -->

# lmarchyok/results-10

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.
It achieves the following results on the evaluation set:
- Train Loss: 4.5246
- Validation Loss: 4.4668
- Epoch: 9

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- 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}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 10.5407    | 8.7823          | 0     |
| 8.3786     | 7.8333          | 1     |
| 7.5107     | 7.0186          | 2     |
| 6.6564     | 6.0953          | 3     |
| 5.8375     | 5.5135          | 4     |
| 5.3641     | 5.0539          | 5     |
| 5.0632     | 4.8693          | 6     |
| 4.7381     | 4.4445          | 7     |
| 4.5505     | 4.4153          | 8     |
| 4.5246     | 4.4668          | 9     |


### Framework versions

- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.13.1
- Tokenizers 0.13.2