---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: train_2
  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. -->

# train_2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1577

## 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: 0.0006047816549758072
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.964129172421366,0.8471340191802936) and epsilon=1.51279024695782e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2593
- num_epochs: 500

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2814        | 1.0   | 6351  | 0.1742          |
| 0.2857        | 2.0   | 12702 | 0.1582          |
| 0.2872        | 3.0   | 19053 | 0.1529          |
| 0.2733        | 4.0   | 25404 | 0.1528          |
| 0.3071        | 5.0   | 31755 | 0.1805          |
| 0.297         | 6.0   | 38106 | 0.1577          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0.dev20241217
- Datasets 2.20.0
- Tokenizers 0.21.0