---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus_books_model_english
  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. -->

# opus_books_model_english

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0262
- Bleu: 0.2611
- Gen Len: 18.4414

## 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: 64
- eval_batch_size: 64
- 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 219  | 2.3885          | 0.0114 | 18.7877 |
| No log        | 2.0   | 438  | 2.2908          | 0.0849 | 18.544  |
| 2.6058        | 3.0   | 657  | 2.2299          | 0.1009 | 18.4923 |
| 2.6058        | 4.0   | 876  | 2.1865          | 0.1334 | 18.5091 |
| 2.3958        | 5.0   | 1095 | 2.1510          | 0.1479 | 18.4726 |
| 2.3958        | 6.0   | 1314 | 2.1218          | 0.1947 | 18.4471 |
| 2.3164        | 7.0   | 1533 | 2.0984          | 0.2254 | 18.4531 |
| 2.3164        | 8.0   | 1752 | 2.0793          | 0.2388 | 18.4211 |
| 2.3164        | 9.0   | 1971 | 2.0641          | 0.2387 | 18.4614 |
| 2.2674        | 10.0  | 2190 | 2.0523          | 0.2476 | 18.4463 |
| 2.2674        | 11.0  | 2409 | 2.0427          | 0.2485 | 18.4343 |
| 2.2366        | 12.0  | 2628 | 2.0353          | 0.2555 | 18.4383 |
| 2.2366        | 13.0  | 2847 | 2.0302          | 0.2561 | 18.4394 |
| 2.2177        | 14.0  | 3066 | 2.0273          | 0.2597 | 18.4366 |
| 2.2177        | 15.0  | 3285 | 2.0262          | 0.2611 | 18.4414 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3