---
library_name: transformers
license: apache-2.0
base_model: clui/my_awesome_opus_books_model
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: fine
  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. -->

# fine

This model is a fine-tuned version of [clui/my_awesome_opus_books_model](https://huggingface.co/clui/my_awesome_opus_books_model) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3081
- Bleu: 13.0948
- Gen Len: 46.6407

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.4705        | 1.0   | 4251  | 1.3386          | 12.7303 | 46.7126 |
| 1.4137        | 2.0   | 8502  | 1.3173          | 12.9823 | 46.4627 |
| 1.3692        | 3.0   | 12753 | 1.3081          | 13.0948 | 46.6407 |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.21.0