---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-finetuned-freeform
  results: []
---

<!-- 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. -->

# roberta-finetuned-freeform

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: 0.6989
- Accuracy: 0.4668

## 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: 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: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6919        | 1.0   | 8094  | 0.6910          | 0.4668   |
| 0.6912        | 2.0   | 16188 | 0.6934          | 0.4668   |
| 0.6904        | 3.0   | 24282 | 0.6976          | 0.4668   |
| 0.6918        | 4.0   | 32376 | 0.6989          | 0.4668   |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
