
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ghc-roberta-base-inter-data-frequency-human_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: 2.4742

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.0257        | 1.0   | 345  | 12.6515         |
| 1.911         | 2.0   | 690  | 5.2590          |
| 0.6202        | 3.0   | 1035 | 2.6192          |
| 1.7033        | 4.0   | 1380 | 2.4742          |
| 1.4799        | 5.0   | 1725 | 2.4742          |


### 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": "ghc-roberta-base-inter-data-frequency-human_annots", "results": []}]}
safetensors generated_from_trainer base_model:roberta-base license:mit region:us