---
tags:
- generated_from_trainer
metrics:
- accuracy
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 [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7225
- Accuracy: 0.6416

## 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: 0.0001
- 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: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 3.6926        | 0.5587 | 100  | 2.4932          | 0.5508   |
| 3.4971        | 1.1173 | 200  | 2.1649          | 0.5738   |
| 2.7013        | 1.6760 | 300  | 2.1019          | 0.5801   |
| 2.0768        | 2.2346 | 400  | 2.4828          | 0.6241   |
| 1.4108        | 2.7933 | 500  | 2.3521          | 0.6471   |
| 1.0545        | 3.3520 | 600  | 2.5568          | 0.6115   |
| 0.707         | 3.9106 | 700  | 2.5198          | 0.6304   |
| 0.4998        | 4.4693 | 800  | 2.8322          | 0.6314   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1