---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-riddle-finetuned_new_3choice
  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-base-riddle-finetuned_new_3choice

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: 0.2420
- Accuracy: 0.9000

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 23   | 0.4131          | 0.875    |
| No log        | 2.0   | 46   | 0.4599          | 0.8250   |
| No log        | 3.0   | 69   | 0.3552          | 0.8250   |
| No log        | 4.0   | 92   | 0.3887          | 0.8500   |
| No log        | 5.0   | 115  | 0.3795          | 0.875    |
| No log        | 6.0   | 138  | 0.3703          | 0.875    |
| No log        | 7.0   | 161  | 0.2565          | 0.875    |
| No log        | 8.0   | 184  | 0.4069          | 0.875    |
| No log        | 9.0   | 207  | 0.2420          | 0.9000   |
| No log        | 10.0  | 230  | 0.2521          | 0.9000   |


### Framework versions

- Transformers 4.36.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0