metadata
license: apache-2.0
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 the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0134
- Rouge1: 15.9126
- Rouge2: 7.2527
- Rougel: 15.474
- Rougelsum: 15.4686
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.6983 | 1.0 | 1209 | 3.2107 | 16.6172 | 8.5236 | 15.898 | 15.9553 |
| 3.6379 | 2.0 | 2418 | 3.0731 | 16.4382 | 7.6292 | 15.8204 | 15.9041 |
| 3.4344 | 3.0 | 3627 | 3.0456 | 17.4139 | 8.5795 | 16.8805 | 16.9012 |
| 3.3049 | 4.0 | 4836 | 3.0279 | 17.3026 | 8.2542 | 16.8521 | 16.8026 |
| 3.2357 | 5.0 | 6045 | 3.0383 | 16.6803 | 7.4959 | 16.2268 | 16.2583 |
| 3.1688 | 6.0 | 7254 | 3.0127 | 16.641 | 7.6987 | 16.2072 | 16.2232 |
| 3.1377 | 7.0 | 8463 | 3.0172 | 16.1591 | 7.5274 | 15.7203 | 15.7465 |
| 3.1104 | 8.0 | 9672 | 3.0134 | 15.9126 | 7.2527 | 15.474 | 15.4686 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.1
- Datasets 2.11.0
- Tokenizers 0.13.0.dev0