---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: heb-baseline-small
  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. -->

# heb-baseline-small

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: 3.8018

## 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: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.5647        | 1.0   | 1934  | 4.9087          |
| 4.6868        | 2.0   | 3868  | 4.5207          |
| 4.3952        | 3.0   | 5802  | 4.2973          |
| 4.2085        | 4.0   | 7736  | 4.1461          |
| 4.0745        | 5.0   | 9670  | 4.0365          |
| 3.969         | 6.0   | 11604 | 3.9542          |
| 3.8885        | 7.0   | 13538 | 3.8889          |
| 3.8244        | 8.0   | 15472 | 3.8445          |
| 3.7789        | 9.0   | 17406 | 3.8154          |
| 3.7479        | 10.0  | 19340 | 3.8018          |


### Framework versions

- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2