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---
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
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