metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-base-translation-spa-pbb
results: []
t5-base-translation-spa-pbb
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2411
- Bleu: 0.608
- Gen Len: 8.108
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.6692 | 1.0 | 304 | 2.9825 | 0.8944 | 6.2582 |
| 2.6593 | 2.0 | 608 | 2.7422 | 0.0 | 6.9895 |
| 2.5452 | 3.0 | 912 | 2.6276 | 0.0 | 7.1924 |
| 2.5998 | 4.0 | 1216 | 2.5437 | 0.0 | 7.3347 |
| 3.0987 | 5.0 | 1520 | 2.4819 | 0.0 | 7.5204 |
| 2.3259 | 6.0 | 1824 | 2.4409 | 0.0 | 7.4466 |
| 3.2006 | 7.0 | 2128 | 2.3988 | 0.6694 | 7.4058 |
| 1.989 | 8.0 | 2432 | 2.3669 | 0.6097 | 8.1383 |
| 2.3702 | 9.0 | 2736 | 2.3464 | 0.9537 | 8.1542 |
| 2.3841 | 10.0 | 3040 | 2.3434 | 0.9045 | 7.7852 |
| 2.2193 | 11.0 | 3344 | 2.3119 | 0.9082 | 8.22 |
| 2.4414 | 12.0 | 3648 | 2.2997 | 0.791 | 8.2569 |
| 1.8003 | 13.0 | 3952 | 2.2848 | 1.0315 | 8.2055 |
| 1.9862 | 14.0 | 4256 | 2.2756 | 0.6622 | 8.2134 |
| 2.3814 | 15.0 | 4560 | 2.2678 | 0.6688 | 8.1634 |
| 2.145 | 16.0 | 4864 | 2.2606 | 0.8214 | 8.2754 |
| 2.1513 | 17.0 | 5168 | 2.2605 | 1.0985 | 8.2635 |
| 2.249 | 18.0 | 5472 | 2.2506 | 1.0695 | 8.1726 |
| 2.3972 | 19.0 | 5776 | 2.2477 | 0.663 | 8.22 |
| 2.1375 | 20.0 | 6080 | 2.2458 | 0.612 | 8.1515 |
| 2.4343 | 21.0 | 6384 | 2.2451 | 0.6825 | 8.1871 |
| 2.9682 | 22.0 | 6688 | 2.2361 | 0.6095 | 8.2306 |
| 1.8138 | 23.0 | 6992 | 2.2411 | 0.608 | 8.108 |
Framework versions
- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0