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# svenbl80/roberta-base-finetuned-new-mnli-run-0

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: 0.0242
- Validation Loss: 0.7506
- Train Accuracy: 0.8638
- 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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 245430, '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 |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.4535     | 0.4013          | 0.8557         | 0     |
| 0.3264     | 0.3638          | 0.8641         | 1     |
| 0.2447     | 0.4053          | 0.8649         | 2     |
| 0.1799     | 0.4217          | 0.8683         | 3     |
| 0.1305     | 0.4702          | 0.8621         | 4     |
| 0.0937     | 0.5705          | 0.8624         | 5     |
| 0.0664     | 0.6041          | 0.8616         | 6     |
| 0.0480     | 0.6936          | 0.8627         | 7     |
| 0.0342     | 0.7156          | 0.8624         | 8     |
| 0.0242     | 0.7506          | 0.8638         | 9     |


### Framework versions

- Transformers 4.28.0
- TensorFlow 2.9.1
- Datasets 2.15.0
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "svenbl80/roberta-base-finetuned-new-mnli-run-0", "results": []}]}
transformers tf tensorboard roberta text-classification generated_from_keras_callback license:mit autotrain_compatible endpoints_compatible region:us