---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: eng1-large
  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. -->

# eng1-large

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: 2.6418

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.4203        | 1.0   | 2955  | 3.3579          |
| 2.9849        | 2.0   | 5910  | 2.9797          |
| 2.7942        | 3.0   | 8865  | 2.8564          |
| 2.7439        | 4.0   | 11820 | 2.7862          |
| 2.7095        | 5.0   | 14775 | 2.7377          |
| 2.7316        | 6.0   | 17730 | 2.7029          |
| 2.6551        | 7.0   | 20685 | 2.6778          |
| 2.6195        | 8.0   | 23640 | 2.6603          |
| 2.5955        | 9.0   | 26595 | 2.6479          |
| 2.5775        | 10.0  | 29550 | 2.6418          |


### Framework versions

- Transformers 4.53.0
- Pytorch 2.4.1+cu121
- Datasets 2.14.7
- Tokenizers 0.21.0