transformers safetensors roberta multiple-choice generated_from_trainer base_model:roberta-base license:mit endpoints_compatible region:us
---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-riddle-finetuned_new_3choice
  results: []
---

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# 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: 0.1949
- Accuracy: 0.875

## 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: 0.0005
- 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 12   | 0.4873          | 0.7250   |
| No log        | 2.0   | 24   | 0.3075          | 0.8000   |
| No log        | 3.0   | 36   | 0.4185          | 0.8000   |
| No log        | 4.0   | 48   | 0.3031          | 0.8250   |
| No log        | 5.0   | 60   | 0.3392          | 0.8250   |
| No log        | 6.0   | 72   | 0.3420          | 0.8500   |
| No log        | 7.0   | 84   | 0.3509          | 0.8250   |
| No log        | 8.0   | 96   | 0.3089          | 0.8500   |
| No log        | 9.0   | 108  | 0.2797          | 0.8250   |
| No log        | 10.0  | 120  | 0.2378          | 0.8000   |
| No log        | 11.0  | 132  | 0.2622          | 0.875    |
| No log        | 12.0  | 144  | 0.2334          | 0.9000   |
| No log        | 13.0  | 156  | 0.2314          | 0.9000   |
| No log        | 14.0  | 168  | 0.1987          | 0.875    |
| No log        | 15.0  | 180  | 0.1949          | 0.875    |


### Framework versions

- Transformers 4.37.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0
