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# distilroberta-rb156k-opt15-ep40

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2088

## 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:
- learning_rate: 7e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.3431        | 1.0   | 8994   | 1.3416          |
| 1.3385        | 2.0   | 17988  | 1.3477          |
| 1.3321        | 3.0   | 26982  | 1.3444          |
| 1.3277        | 4.0   | 35976  | 1.3370          |
| 1.315         | 5.0   | 44970  | 1.3325          |
| 1.3081        | 6.0   | 53964  | 1.3314          |
| 1.3056        | 7.0   | 62958  | 1.3271          |
| 1.2999        | 8.0   | 71952  | 1.3219          |
| 1.2973        | 9.0   | 80946  | 1.3195          |
| 1.2865        | 10.0  | 89940  | 1.3135          |
| 1.2749        | 11.0  | 98934  | 1.3111          |
| 1.2685        | 12.0  | 107928 | 1.3077          |
| 1.2652        | 13.0  | 116922 | 1.2986          |
| 1.2604        | 14.0  | 125916 | 1.2979          |
| 1.255         | 15.0  | 134910 | 1.2942          |
| 1.2508        | 16.0  | 143904 | 1.2870          |
| 1.2358        | 17.0  | 152898 | 1.2858          |
| 1.2361        | 18.0  | 161892 | 1.2825          |
| 1.2302        | 19.0  | 170886 | 1.2741          |
| 1.2242        | 20.0  | 179880 | 1.2743          |
| 1.2177        | 21.0  | 188874 | 1.2665          |
| 1.2055        | 22.0  | 197868 | 1.2642          |
| 1.2096        | 23.0  | 206862 | 1.2583          |
| 1.2065        | 24.0  | 215856 | 1.2567          |
| 1.1931        | 25.0  | 224850 | 1.2537          |
| 1.1908        | 26.0  | 233844 | 1.2510          |
| 1.1875        | 27.0  | 242838 | 1.2480          |
| 1.1803        | 28.0  | 251832 | 1.2424          |
| 1.1711        | 29.0  | 260826 | 1.2394          |
| 1.173         | 30.0  | 269820 | 1.2380          |
| 1.1665        | 31.0  | 278814 | 1.2291          |
| 1.1586        | 32.0  | 287808 | 1.2291          |
| 1.1607        | 33.0  | 296802 | 1.2260          |
| 1.1524        | 34.0  | 305796 | 1.2228          |
| 1.1463        | 35.0  | 314790 | 1.2171          |
| 1.1453        | 36.0  | 323784 | 1.2135          |
| 1.1387        | 37.0  | 332778 | 1.2135          |
| 1.136         | 38.0  | 341772 | 1.2117          |
| 1.1347        | 39.0  | 350766 | 1.2070          |
| 1.1347        | 40.0  | 359760 | 1.2078          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"tags": ["generated_from_trainer"], "model-index": [{"name": "distilroberta-rb156k-opt15-ep40", "results": []}]}
transformers tensorboard safetensors roberta fill-mask generated_from_trainer autotrain_compatible endpoints_compatible region:us