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# otuformer_bert

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: 0.0011

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.0043        | 1.0   | 19103  | 0.0029          |
| 0.002         | 2.0   | 38206  | 0.0020          |
| 0.0011        | 3.0   | 57309  | 0.0018          |
| 0.0013        | 4.0   | 76412  | 0.0016          |
| 0.0006        | 5.0   | 95515  | 0.0015          |
| 0.0008        | 6.0   | 114618 | 0.0014          |
| 0.0005        | 7.0   | 133721 | 0.0013          |
| 0.0003        | 8.0   | 152824 | 0.0013          |
| 0.0003        | 9.0   | 171927 | 0.0012          |
| 0.0002        | 10.0  | 191030 | 0.0012          |
| 0.0001        | 11.0  | 210133 | 0.0012          |
| 0.0001        | 12.0  | 229236 | 0.0011          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "model-index": [{"name": "otuformer_bert", "results": []}]}
transformers safetensors bert text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us