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# SBIC-roberta-base-intra-dataset-frequency-model_annots

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 44.4906

## 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: 0.0001
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.0144       | 1.0   | 392  | 47.1448         |
| 5.4314        | 2.0   | 784  | 46.2768         |
| 3.8097        | 3.0   | 1176 | 44.7609         |
| 5.247         | 4.0   | 1568 | 44.4906         |
| 8.3331        | 5.0   | 1960 | 44.4906         |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.6.1
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "SBIC-roberta-base-intra-dataset-frequency-model_annots", "results": []}]}
pytorch safetensors generated_from_trainer base_model:roberta-base license:mit region:us