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

# pretraining

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: 0.9934

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9973        | 1.0   | 13   | 0.9918          |
| 0.9964        | 2.0   | 26   | 0.9961          |
| 0.9966        | 3.0   | 39   | 0.9974          |
| 0.996         | 4.0   | 52   | 0.9960          |
| 0.996         | 5.0   | 65   | 1.0023          |
| 0.9966        | 6.0   | 78   | 0.9973          |
| 0.9953        | 7.0   | 91   | 0.9934          |
| 0.9972        | 8.0   | 104  | 0.9954          |
| 1.0003        | 9.0   | 117  | 0.9965          |
| 0.9975        | 10.0  | 130  | 0.9989          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2