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: 12.4719
- Rouge1: 1.0
- Rouge2: 0.0
- Rougel: 1.0
- Rougelsum: 1.0
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 |
|---|---|---|---|---|---|---|---|
| 27.4393 | 1.0 | 5 | 17.2134 | 0.0 | 0.0 | 0.0 | 0.0 |
| 22.9155 | 2.0 | 10 | 15.0992 | 0.0 | 0.0 | 0.0 | 0.0 |
| 22.9137 | 3.0 | 15 | 13.7802 | 0.0 | 0.0 | 0.0 | 0.0 |
| 18.6699 | 4.0 | 20 | 13.0336 | 0.0 | 0.0 | 0.0 | 0.0 |
| 21.7441 | 5.0 | 25 | 12.8728 | 1.0 | 0.0 | 1.0 | 1.0 |
| 18.8252 | 6.0 | 30 | 12.6478 | 1.0 | 0.0 | 1.0 | 1.0 |
| 18.3021 | 7.0 | 35 | 12.5059 | 1.0 | 0.0 | 1.0 | 1.0 |
| 18.9792 | 8.0 | 40 | 12.4719 | 1.0 | 0.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3