---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: tf-tpu/roberta-base-epochs-100
  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. -->

# tf-tpu/roberta-base-epochs-100

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: 4.9323
- Train Accuracy: 0.0448
- Validation Loss: 4.8633
- Validation Accuracy: 0.0443
- Epoch: 4

## 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': 55765, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 2935, '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: mixed_bfloat16

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 7.2121     | 0.0274         | 5.7188          | 0.0346              | 0     |
| 5.4335     | 0.0414         | 5.2266          | 0.0439              | 1     |
| 5.1579     | 0.0445         | 5.0625          | 0.0441              | 2     |
| 5.0231     | 0.0447         | 4.9453          | 0.0446              | 3     |
| 4.9323     | 0.0448         | 4.8633          | 0.0443              | 4     |


### Framework versions

- Transformers 4.27.0.dev0
- TensorFlow 2.9.1
- Tokenizers 0.13.2