---
license: mit
base_model: roberta-base
tags:
- generated_from_keras_callback
model-index:
- name: jmassot/masked-lm-tpu
  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. -->

# jmassot/masked-lm-tpu

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 9.8173
- Train Accuracy: 0.0164
- Validation Loss: 9.6999
- Validation Accuracy: 0.0210
- 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': 0.0001, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 22325, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1175, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 10.2539    | 0.0            | 10.2414         | 0.0000              | 0     |
| 10.2396    | 0.0000         | 10.2294         | 0.0000              | 1     |
| 10.2338    | 0.0000         | 10.2031         | 0.0000              | 2     |
| 10.2003    | 0.0000         | 10.1587         | 0.0000              | 3     |
| 10.1691    | 0.0            | 10.1081         | 0.0                 | 4     |
| 10.1135    | 0.0000         | 10.0415         | 0.0001              | 5     |
| 10.0630    | 0.0001         | 9.9697          | 0.0013              | 6     |
| 9.9906     | 0.0011         | 9.8881          | 0.0097              | 7     |
| 9.9059     | 0.0070         | 9.7998          | 0.0183              | 8     |
| 9.8173     | 0.0164         | 9.6999          | 0.0210              | 9     |


### Framework versions

- Transformers 4.35.0
- TensorFlow 2.12.0
- Tokenizers 0.14.1