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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7922
- Rouge1: 19.1653
- Rouge2: 7.0586
- Rougel: 17.6487
- Rougelsum: 17.9202
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 |
|---|---|---|---|---|---|---|---|
| 11.9457 | 1.0 | 151 | 4.4346 | 6.0042 | 1.1556 | 5.9068 | 5.8435 |
| 5.4958 | 2.0 | 302 | 3.4869 | 7.2729 | 1.8895 | 7.307 | 7.1446 |
| 4.4559 | 3.0 | 453 | 3.1252 | 8.665 | 1.6278 | 8.4274 | 8.3353 |
| 4.0657 | 4.0 | 604 | 2.9205 | 10.9136 | 3.4009 | 10.3961 | 10.4091 |
| 3.828 | 5.0 | 755 | 2.8419 | 18.5917 | 6.8523 | 16.9087 | 17.2145 |
| 3.6794 | 6.0 | 906 | 2.8178 | 18.9371 | 7.0542 | 17.1941 | 17.4368 |
| 3.6205 | 7.0 | 1057 | 2.7984 | 19.0788 | 7.0287 | 17.4496 | 17.8402 |
| 3.5711 | 8.0 | 1208 | 2.7922 | 19.1653 | 7.0586 | 17.6487 | 17.9202 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3