---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-mc-2
  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-mc-2

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: 1.5972
- Accuracy: 0.4

## 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-06
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6096        | 1.0   | 24   | 1.6086          | 0.3      |
| 1.614         | 2.0   | 48   | 1.6083          | 0.4      |
| 1.6032        | 3.0   | 72   | 1.6070          | 0.4      |
| 1.6185        | 4.0   | 96   | 1.6057          | 0.4      |
| 1.6106        | 5.0   | 120  | 1.6045          | 0.4      |
| 1.6093        | 6.0   | 144  | 1.6028          | 0.4      |
| 1.597         | 7.0   | 168  | 1.6010          | 0.4      |
| 1.6094        | 8.0   | 192  | 1.5994          | 0.4      |
| 1.6029        | 9.0   | 216  | 1.5977          | 0.4      |
| 1.5997        | 10.0  | 240  | 1.5972          | 0.4      |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3