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# lyfi-distilroberta-base-classification

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0675        | 0.29  | 500  | 0.0001          |
| 0.0001        | 0.59  | 1000 | 0.0000          |
| 0.0001        | 0.88  | 1500 | 0.0000          |
| 0.0           | 1.18  | 2000 | 0.0000          |
| 0.0           | 1.47  | 2500 | 0.0000          |
| 0.0262        | 1.76  | 3000 | 0.0000          |
| 0.0           | 2.06  | 3500 | 0.0000          |
| 0.0           | 2.35  | 4000 | 0.0000          |
| 0.0           | 2.65  | 4500 | 0.0000          |
| 0.0           | 2.94  | 5000 | 0.0000          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "lyfi-distilroberta-base-classification", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:distilroberta-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us