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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: 3.0341
- Rouge1: 16.9947
- Rouge2: 8.1917
- Rougel: 16.5751
- Rougelsum: 16.6864
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 |
|---|---|---|---|---|---|---|---|
| 7.0901 | 1.0 | 1209 | 3.2969 | 13.9062 | 5.7456 | 13.4148 | 13.409 |
| 3.9124 | 2.0 | 2418 | 3.1529 | 16.6418 | 8.4375 | 15.85 | 15.9119 |
| 3.5991 | 3.0 | 3627 | 3.1181 | 18.7571 | 9.9189 | 18.0758 | 18.1545 |
| 3.4197 | 4.0 | 4836 | 3.0619 | 17.8796 | 8.8002 | 17.2547 | 17.3509 |
| 3.3215 | 5.0 | 6045 | 3.0706 | 16.9356 | 7.5098 | 16.2641 | 16.468 |
| 3.2448 | 6.0 | 7254 | 3.0455 | 16.7471 | 7.7886 | 16.345 | 16.4044 |
| 3.2033 | 7.0 | 8463 | 3.0349 | 17.0401 | 8.3424 | 16.6741 | 16.7633 |
| 3.177 | 8.0 | 9672 | 3.0341 | 16.9947 | 8.1917 | 16.5751 | 16.6864 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
