---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: f02aefd7b91f5c9231a170bc6a587c91
  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. -->

# f02aefd7b91f5c9231a170bc6a587c91

This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the Helsinki-NLP/opus_books dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2741
- Data Size: 1.0
- Epoch Runtime: 18.2376
- Bleu: 1.1010

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Bleu   |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:------:|
| No log        | 0     | 0    | 3.4425          | 0         | 2.3490        | 0.1512 |
| No log        | 1     | 70   | 3.4154          | 0.0078    | 2.3909        | 0.1512 |
| No log        | 2     | 140  | 3.3242          | 0.0156    | 2.7178        | 0.1499 |
| No log        | 3     | 210  | 3.3208          | 0.0312    | 3.3120        | 0.1561 |
| No log        | 4     | 280  | 3.2790          | 0.0625    | 4.0068        | 0.1891 |
| No log        | 5     | 350  | 3.0620          | 0.125     | 5.3587        | 0.1589 |
| No log        | 6     | 420  | 2.9118          | 0.25      | 7.7588        | 0.3948 |
| 0.4887        | 7     | 490  | 2.7663          | 0.5       | 11.0609       | 0.5381 |
| 2.8782        | 8.0   | 560  | 2.6579          | 1.0       | 19.8240       | 0.4605 |
| 2.7819        | 9.0   | 630  | 2.5914          | 1.0       | 18.3191       | 0.5575 |
| 2.6843        | 10.0  | 700  | 2.5362          | 1.0       | 18.6385       | 0.5353 |
| 2.6346        | 11.0  | 770  | 2.4998          | 1.0       | 18.7627       | 0.5979 |
| 2.5855        | 12.0  | 840  | 2.4674          | 1.0       | 18.1962       | 0.6150 |
| 2.5201        | 13.0  | 910  | 2.4381          | 1.0       | 18.0755       | 0.6466 |
| 2.4707        | 14.0  | 980  | 2.4090          | 1.0       | 17.3000       | 0.7040 |
| 2.4341        | 15.0  | 1050 | 2.3954          | 1.0       | 18.4257       | 0.7404 |
| 2.4106        | 16.0  | 1120 | 2.3701          | 1.0       | 19.0556       | 0.7352 |
| 2.3603        | 17.0  | 1190 | 2.3497          | 1.0       | 17.9710       | 0.7189 |
| 2.3126        | 18.0  | 1260 | 2.3398          | 1.0       | 18.4536       | 0.7632 |
| 2.2971        | 19.0  | 1330 | 2.3232          | 1.0       | 17.4169       | 0.7931 |
| 2.2549        | 20.0  | 1400 | 2.3168          | 1.0       | 18.2895       | 0.8166 |
| 2.2321        | 21.0  | 1470 | 2.3120          | 1.0       | 18.2168       | 0.8283 |
| 2.1912        | 22.0  | 1540 | 2.3055          | 1.0       | 17.4534       | 0.8203 |
| 2.1623        | 23.0  | 1610 | 2.2961          | 1.0       | 17.8610       | 0.9116 |
| 2.1378        | 24.0  | 1680 | 2.2850          | 1.0       | 17.7668       | 0.8915 |
| 2.1166        | 25.0  | 1750 | 2.2783          | 1.0       | 18.6735       | 0.8682 |
| 2.0762        | 26.0  | 1820 | 2.2735          | 1.0       | 18.3668       | 0.9008 |
| 2.0812        | 27.0  | 1890 | 2.2746          | 1.0       | 18.6053       | 0.8955 |
| 2.0384        | 28.0  | 1960 | 2.2715          | 1.0       | 17.9728       | 0.9002 |
| 2.0101        | 29.0  | 2030 | 2.2714          | 1.0       | 17.3267       | 0.8992 |
| 1.9769        | 30.0  | 2100 | 2.2724          | 1.0       | 18.2268       | 0.9390 |
| 1.9509        | 31.0  | 2170 | 2.2617          | 1.0       | 19.5187       | 0.9829 |
| 1.9419        | 32.0  | 2240 | 2.2671          | 1.0       | 19.2548       | 1.0183 |
| 1.9153        | 33.0  | 2310 | 2.2717          | 1.0       | 17.9231       | 0.9995 |
| 1.8914        | 34.0  | 2380 | 2.2734          | 1.0       | 18.3847       | 1.0418 |
| 1.8725        | 35.0  | 2450 | 2.2741          | 1.0       | 18.2376       | 1.1010 |


### Framework versions

- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1