---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: train_3
  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_3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3609

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1074        | 1.0   | 568   | 0.3485          |
| 0.108         | 2.0   | 1136  | 0.3540          |
| 0.106         | 3.0   | 1704  | 0.3306          |
| 0.1045        | 4.0   | 2272  | 0.3545          |
| 0.1052        | 5.0   | 2840  | 0.3218          |
| 0.1033        | 6.0   | 3408  | 0.3230          |
| 0.1023        | 7.0   | 3976  | 0.3480          |
| 0.0995        | 8.0   | 4544  | 0.4591          |
| 0.1           | 9.0   | 5112  | 0.3469          |
| 0.0978        | 10.0  | 5680  | 0.3328          |
| 0.0974        | 11.0  | 6248  | 0.3641          |
| 0.0965        | 12.0  | 6816  | 0.3167          |
| 0.0951        | 13.0  | 7384  | 0.3220          |
| 0.0953        | 14.0  | 7952  | 0.3034          |
| 0.0935        | 15.0  | 8520  | 0.3595          |
| 0.0934        | 16.0  | 9088  | 0.3090          |
| 0.0942        | 17.0  | 9656  | 0.2997          |
| 0.0939        | 18.0  | 10224 | 0.3231          |
| 0.0918        | 19.0  | 10792 | 0.3788          |
| 0.0933        | 20.0  | 11360 | 0.3888          |
| 0.0916        | 21.0  | 11928 | 0.5056          |
| 0.0907        | 22.0  | 12496 | 0.3029          |
| 0.0905        | 23.0  | 13064 | 0.3338          |
| 0.0898        | 24.0  | 13632 | 0.3883          |
| 0.0892        | 25.0  | 14200 | 0.4280          |
| 0.0884        | 26.0  | 14768 | 0.3281          |
| 0.0894        | 27.0  | 15336 | 0.3609          |
| 0.0879        | 28.0  | 15904 | 0.3560          |
| 0.0881        | 29.0  | 16472 | 0.3502          |
| 0.0873        | 30.0  | 17040 | 0.3961          |
| 0.0866        | 31.0  | 17608 | 0.3481          |
| 0.0864        | 32.0  | 18176 | 0.3609          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.8.0.dev20250424
- Datasets 2.20.0
- Tokenizers 0.21.0