metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-es
results: []
mt5-small-finetuned-amazon-en-es
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0303
- Rouge1: 16.6557
- Rouge2: 7.7494
- Rougel: 16.0414
- Rougelsum: 16.1216
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 6.9675 | 1.0 | 1209 | 3.2986 | 15.4389 | 6.948 | 14.7479 | 14.8713 |
| 3.8997 | 2.0 | 2418 | 3.1665 | 16.3621 | 7.6947 | 15.7833 | 15.7696 |
| 3.5826 | 3.0 | 3627 | 3.1106 | 17.1917 | 8.4901 | 16.3918 | 16.472 |
| 3.421 | 4.0 | 4836 | 3.0963 | 17.3735 | 8.8287 | 16.7517 | 16.8372 |
| 3.3089 | 5.0 | 6045 | 3.0490 | 16.7794 | 7.6926 | 16.1692 | 16.253 |
| 3.2437 | 6.0 | 7254 | 3.0401 | 16.6808 | 8.0175 | 15.9504 | 16.0499 |
| 3.2133 | 7.0 | 8463 | 3.0292 | 16.3645 | 7.743 | 15.8797 | 15.9826 |
| 3.1851 | 8.0 | 9672 | 3.0303 | 16.6557 | 7.7494 | 16.0414 | 16.1216 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3