---
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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/thalesian-university-of-new-mexico-press/huggingface/runs/u7otggf4)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/thalesian-university-of-new-mexico-press/huggingface/runs/u7otggf4)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/thalesian-university-of-new-mexico-press/huggingface/runs/u7otggf4)
# train_2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3654

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3257        | 1.0   | 1988  | 0.6304          |
| 0.2125        | 2.0   | 3976  | 0.4079          |
| 0.1967        | 3.0   | 5964  | 0.3787          |
| 0.1826        | 4.0   | 7952  | 0.3795          |
| 0.1786        | 5.0   | 9940  | 0.3796          |
| 0.1755        | 6.0   | 11928 | 0.3664          |
| 0.1724        | 7.0   | 13916 | 0.3624          |
| 0.1681        | 8.0   | 15904 | 0.3673          |
| 0.1661        | 9.0   | 17892 | 0.3656          |
| 0.1581        | 10.0  | 19880 | 0.3633          |
| 0.1621        | 11.0  | 21868 | 0.3646          |
| 0.1527        | 12.0  | 23856 | 0.3654          |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.6.0.dev20241217
- Datasets 2.20.0
- Tokenizers 0.19.1