---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: tf-tpu/roberta-base-epochs-500-no-wd
  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-500-no-wd

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: 1.7370
- Train Accuracy: 0.0978
- Validation Loss: 1.5869
- Validation Accuracy: 0.1014
- Epoch: 32

## 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': 278825, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 14675, '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 8.3284     | 0.0211         | 7.1523          | 0.0266              | 0     |
| 6.3670     | 0.0318         | 5.7812          | 0.0342              | 1     |
| 5.6051     | 0.0380         | 5.4414          | 0.0420              | 2     |
| 5.3602     | 0.0433         | 5.2734          | 0.0432              | 3     |
| 5.2285     | 0.0444         | 5.1562          | 0.0442              | 4     |
| 5.1371     | 0.0446         | 5.1133          | 0.0436              | 5     |
| 5.0673     | 0.0446         | 5.0703          | 0.0442              | 6     |
| 5.0132     | 0.0447         | 4.9883          | 0.0442              | 7     |
| 4.9642     | 0.0448         | 4.9219          | 0.0441              | 8     |
| 4.9217     | 0.0448         | 4.9258          | 0.0440              | 9     |
| 4.8871     | 0.0448         | 4.8867          | 0.0439              | 10    |
| 4.8548     | 0.0449         | 4.8672          | 0.0439              | 11    |
| 4.8277     | 0.0449         | 4.8047          | 0.0445              | 12    |
| 4.8033     | 0.0449         | 4.8477          | 0.0437              | 13    |
| 4.7807     | 0.0449         | 4.7617          | 0.0439              | 14    |
| 4.7592     | 0.0449         | 4.7773          | 0.0437              | 15    |
| 4.7388     | 0.0449         | 4.7539          | 0.0441              | 16    |
| 4.7225     | 0.0449         | 4.7266          | 0.0439              | 17    |
| 4.7052     | 0.0449         | 4.6914          | 0.0450              | 18    |
| 4.6917     | 0.0449         | 4.7188          | 0.0444              | 19    |
| 4.6789     | 0.0449         | 4.6914          | 0.0444              | 20    |
| 4.6689     | 0.0449         | 4.7031          | 0.0439              | 21    |
| 4.6570     | 0.0449         | 4.7031          | 0.0437              | 22    |
| 4.6486     | 0.0450         | 4.6758          | 0.0446              | 23    |
| 4.6393     | 0.0449         | 4.6914          | 0.0441              | 24    |
| 4.5898     | 0.0449         | 4.4688          | 0.0452              | 25    |
| 4.3024     | 0.0472         | 3.8730          | 0.0551              | 26    |
| 3.1689     | 0.0693         | 2.4375          | 0.0835              | 27    |
| 2.3780     | 0.0844         | 2.0498          | 0.0922              | 28    |
| 2.0789     | 0.0907         | 1.8604          | 0.0958              | 29    |
| 1.9204     | 0.0940         | 1.7549          | 0.0982              | 30    |
| 1.8162     | 0.0961         | 1.6836          | 0.0983              | 31    |
| 1.7370     | 0.0978         | 1.5869          | 0.1014              | 32    |


### Framework versions

- Transformers 4.27.0.dev0
- TensorFlow 2.9.1
- Tokenizers 0.13.2