---
library_name: transformers
license: apache-2.0
base_model: utrobinmv/t5_translate_en_ru_zh_small_1024
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_awesome_books_model_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. -->

# my_awesome_books_model_2

This model is a fine-tuned version of [utrobinmv/t5_translate_en_ru_zh_small_1024](https://huggingface.co/utrobinmv/t5_translate_en_ru_zh_small_1024) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9046
- Bleu: 41.4247
- Gen Len: 39.2936

## 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: 16
- eval_batch_size: 16
- seed: 42
- 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.2723        | 1.0   | 2229 | 1.0163          | 38.3982 | 39.2681 |
| 1.1332        | 2.0   | 4458 | 0.9423          | 40.3418 | 39.2605 |
| 1.0652        | 3.0   | 6687 | 0.9150          | 41.1569 | 39.2867 |
| 1.027         | 4.0   | 8916 | 0.9046          | 41.4247 | 39.2936 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0