---
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: distilroberta-base
model-index:
- name: mlm_finetune_bert
  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. -->

# mlm_finetune_bert

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0006
- 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Epoch |
|:----------:|:-----:|
| 0.0045     | 0     |
| 0.0014     | 1     |
| 0.0013     | 2     |
| 0.0010     | 3     |
| 0.0009     | 4     |
| 0.0009     | 5     |
| 0.0007     | 6     |
| 0.0007     | 7     |
| 0.0006     | 8     |
| 0.0006     | 9     |


### Framework versions

- Transformers 4.37.2
- TensorFlow 2.15.0
- Tokenizers 0.15.1