---
tags:
- generated_from_trainer
model-index:
- name: model
  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. -->

# model

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: 1.0360

## 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: cosine_with_restarts
- lr_scheduler_warmup_steps: 500
- training_steps: 0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.1667        | 0.07  | 2000  | 3.1054          |
| 1.8298        | 0.14  | 4000  | 1.7209          |
| 1.4726        | 0.22  | 6000  | 1.4237          |
| 1.3446        | 0.29  | 8000  | 1.2875          |
| 1.2647        | 0.36  | 10000 | 1.2120          |
| 1.2023        | 0.43  | 12000 | 1.1621          |
| 1.185         | 0.51  | 14000 | 1.1240          |
| 1.1308        | 0.58  | 16000 | 1.0957          |
| 1.1057        | 0.65  | 18000 | 1.0736          |
| 1.0894        | 0.72  | 20000 | 1.0555          |
| 1.087         | 0.8   | 22000 | 1.0439          |
| 1.0829        | 0.87  | 24000 | 1.0372          |
| 1.0566        | 0.94  | 26000 | 1.0360          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1