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mt5-small-finetuned-26jan-4
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: 3.1125
- Rouge1: 11.3945
- Rouge2: 2.1603
- Rougel: 11.0216
- Rougelsum: 11.0695
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: 3e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
---|---|---|---|---|---|---|---|
4.8813 | 1.0 | 181 | 3.1458 | 10.9133 | 1.9199 | 10.5361 | 10.6021 |
4.3443 | 2.0 | 362 | 3.1125 | 11.3945 | 2.1603 | 11.0216 | 11.0695 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2