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# supalun/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: 4.2940
- Train Accuracy: 0.0485
- Validation Loss: 4.1834
- Validation Accuracy: 0.0500
- 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': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 0.0001, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 22325, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1175, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 5.4774     | 0.0413         | 5.0088          | 0.0437              | 0     |
| 4.9022     | 0.0448         | 4.8563          | 0.0450              | 1     |
| 4.8164     | 0.0449         | 4.8314          | 0.0438              | 2     |
| 4.7645     | 0.0449         | 4.7566          | 0.0446              | 3     |
| 4.7280     | 0.0449         | 4.7226          | 0.0442              | 4     |
| 4.7013     | 0.0449         | 4.7345          | 0.0440              | 5     |
| 4.6810     | 0.0449         | 4.6710          | 0.0445              | 6     |
| 4.5719     | 0.0451         | 4.4978          | 0.0453              | 7     |
| 4.3957     | 0.0467         | 4.2910          | 0.0485              | 8     |
| 4.2940     | 0.0485         | 4.1834          | 0.0500              | 9     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "roberta-base", "model-index": [{"name": "supalun/masked-lm-tpu", "results": []}]}
transformers tf roberta fill-mask generated_from_keras_callback base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us