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# radiant-elevator-179

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1022

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 3.1442        | 0.33  | 10000  | 3.1404          |
| 3.1463        | 0.66  | 20000  | 3.1392          |
| 3.1317        | 1.0   | 30000  | 3.1363          |
| 3.1378        | 1.33  | 40000  | 3.1348          |
| 3.1398        | 1.66  | 50000  | 3.1345          |
| 3.1229        | 1.99  | 60000  | 3.1335          |
| 3.1271        | 2.32  | 70000  | 3.1315          |
| 3.1259        | 2.66  | 80000  | 3.1239          |
| 3.1172        | 2.99  | 90000  | 3.1163          |
| 3.1204        | 3.32  | 100000 | 3.1101          |
| 3.111         | 3.65  | 110000 | 3.1050          |
| 3.1061        | 3.98  | 120000 | 3.1022          |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "model-index": [{"name": "radiant-elevator-179", "results": []}]}
transformers pytorch bert fill-mask generated_from_trainer autotrain_compatible endpoints_compatible region:us