---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: eng-zho-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. -->

# eng-zho-baseline-small

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4351

## 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: 64
- 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.4935        | 1.0   | 12365 | 3.8064          |
| 3.7707        | 2.0   | 24730 | 3.5933          |
| 3.6279        | 3.0   | 37095 | 3.5046          |
| 3.557         | 4.0   | 49460 | 3.4568          |
| 3.5165        | 5.0   | 61825 | 3.4351          |


### Framework versions

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