---
library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

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: 0.1111

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 100
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 5    | 0.7008          |
| 0.7073        | 2.0   | 10   | 0.6986          |
| 0.7073        | 3.0   | 15   | 0.6963          |
| 0.6997        | 4.0   | 20   | 0.6932          |
| 0.6997        | 5.0   | 25   | 0.6905          |
| 0.6908        | 6.0   | 30   | 0.6883          |
| 0.6908        | 7.0   | 35   | 0.6850          |
| 0.6913        | 8.0   | 40   | 0.6774          |
| 0.6913        | 9.0   | 45   | 0.6455          |
| 0.6248        | 10.0  | 50   | 0.4880          |
| 0.6248        | 11.0  | 55   | 0.3243          |
| 0.3917        | 12.0  | 60   | 0.3306          |
| 0.3917        | 13.0  | 65   | 0.1483          |
| 0.1417        | 14.0  | 70   | 0.1215          |
| 0.1417        | 15.0  | 75   | 0.1111          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0