<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
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: 2.3810
- Rouge1: 5.5031
- Rouge2: 1.0338
- Rougel: 5.5913
- Rougelsum: 5.5823
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 |
|---|---|---|---|---|---|---|---|
| 6.1122 | 1.0 | 633 | 2.7996 | 2.2327 | 0.407 | 2.2401 | 2.2315 |
| 3.3995 | 2.0 | 1266 | 2.6504 | 4.1774 | 0.5055 | 4.1819 | 4.2011 |
| 3.1251 | 3.0 | 1899 | 2.5152 | 4.8394 | 0.8094 | 4.8236 | 4.8454 |
| 2.9901 | 4.0 | 2532 | 2.4631 | 4.8948 | 0.7297 | 4.9055 | 4.9351 |
| 2.8935 | 5.0 | 3165 | 2.4154 | 5.0999 | 0.7188 | 5.1579 | 5.1447 |
| 2.8362 | 6.0 | 3798 | 2.4017 | 5.1248 | 0.6932 | 5.1452 | 5.1288 |
| 2.7979 | 7.0 | 4431 | 2.3875 | 5.4277 | 1.0338 | 5.5187 | 5.5078 |
| 2.767 | 8.0 | 5064 | 2.3810 | 5.5031 | 1.0338 | 5.5913 | 5.5823 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
