
<!-- 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. -->

# svenbl80/roberta-base-finetuned-mnli

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: 0.0037
- Validation Loss: 0.9286
- Train Accuracy: 0.8700
- Epoch: 29

## 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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 736290, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.4482     | 0.3946          | 0.8503         | 0     |
| 0.3320     | 0.3731          | 0.8635         | 1     |
| 0.2567     | 0.4062          | 0.8669         | 2     |
| 0.1970     | 0.4162          | 0.8693         | 3     |
| 0.1533     | 0.5317          | 0.8555         | 4     |
| 0.1237     | 0.5096          | 0.8651         | 5     |
| 0.1004     | 0.4955          | 0.8685         | 6     |
| 0.0832     | 0.5596          | 0.8606         | 7     |
| 0.0709     | 0.6180          | 0.8614         | 8     |
| 0.0613     | 0.6332          | 0.8613         | 9     |
| 0.0518     | 0.6511          | 0.8659         | 10    |
| 0.0449     | 0.6879          | 0.8642         | 11    |
| 0.0398     | 0.6564          | 0.8648         | 12    |
| 0.0351     | 0.6766          | 0.8697         | 13    |
| 0.0308     | 0.6751          | 0.8679         | 14    |
| 0.0271     | 0.7071          | 0.8608         | 15    |
| 0.0240     | 0.7776          | 0.8672         | 16    |
| 0.0212     | 0.7626          | 0.8654         | 17    |
| 0.0187     | 0.7747          | 0.8673         | 18    |
| 0.0166     | 0.7900          | 0.8681         | 19    |
| 0.0141     | 0.7816          | 0.8651         | 20    |
| 0.0125     | 0.8098          | 0.8683         | 21    |
| 0.0108     | 0.8284          | 0.8706         | 22    |
| 0.0091     | 0.8558          | 0.8654         | 23    |
| 0.0079     | 0.8508          | 0.8716         | 24    |
| 0.0066     | 0.8415          | 0.8705         | 25    |
| 0.0056     | 0.8841          | 0.8680         | 26    |
| 0.0049     | 0.8849          | 0.8698         | 27    |
| 0.0040     | 0.9275          | 0.8693         | 28    |
| 0.0037     | 0.9286          | 0.8700         | 29    |


### Framework versions

- Transformers 4.28.0
- TensorFlow 2.7.0
- Datasets 2.3.2
- Tokenizers 0.12.1

{"license": "mit", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "svenbl80/roberta-base-finetuned-mnli", "results": []}]}
transformers tf tensorboard roberta text-classification generated_from_keras_callback license:mit autotrain_compatible endpoints_compatible region:us