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# SChem5Labels-roberta-base-inter-frequency-human_annots_alpha0.5_whole_1e-05

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: 2.3366

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.627         | 1.0   | 3164 | 2.4390          |
| 2.1647        | 2.0   | 6328 | 2.3366          |
| 2.1088        | 3.0   | 9492 | 2.3366          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "SChem5Labels-roberta-base-inter-frequency-human_annots_alpha0.5_whole_1e-05", "results": []}]}
pytorch safetensors generated_from_trainer base_model:roberta-base license:mit region:us