---
license: apache-2.0
base_model: distilbert/distilroberta-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 [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2147

## 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-05
- 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
- lr_scheduler_warmup_steps: 200
- num_epochs: 16

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1553        | 1.0   | 1521  | 0.1512          |
| 0.1561        | 2.0   | 3042  | 0.1484          |
| 0.1344        | 3.0   | 4563  | 0.1497          |
| 0.1119        | 4.0   | 6084  | 0.1551          |
| 0.1117        | 5.0   | 7605  | 0.1640          |
| 0.1095        | 6.0   | 9126  | 0.1729          |
| 0.0714        | 7.0   | 10647 | 0.1871          |
| 0.0617        | 8.0   | 12168 | 0.1950          |
| 0.048         | 9.0   | 13689 | 0.2021          |
| 0.0406        | 10.0  | 15210 | 0.2044          |
| 0.0264        | 11.0  | 16731 | 0.2077          |
| 0.0235        | 12.0  | 18252 | 0.2109          |
| 0.0218        | 13.0  | 19773 | 0.2116          |
| 0.0142        | 14.0  | 21294 | 0.2136          |
| 0.0131        | 15.0  | 22815 | 0.2143          |
| 0.0118        | 16.0  | 24336 | 0.2147          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1