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mt5-small-finetuned-14feb-2
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: 2.3707
- Rouge1: 19.73
- Rouge2: 5.7
- Rougel: 19.46
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: 0.000275
- 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: 7
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
---|---|---|---|---|---|---|
4.0753 | 1.0 | 388 | 2.5514 | 16.43 | 4.92 | 16.27 |
2.9891 | 2.0 | 776 | 2.4500 | 18.18 | 5.25 | 17.93 |
2.7596 | 3.0 | 1164 | 2.4263 | 19.56 | 5.46 | 19.08 |
2.6168 | 4.0 | 1552 | 2.3966 | 18.31 | 5.62 | 17.97 |
2.5137 | 5.0 | 1940 | 2.3596 | 19.99 | 6.15 | 19.7 |
2.4365 | 6.0 | 2328 | 2.3663 | 19.92 | 6.09 | 19.62 |
2.3821 | 7.0 | 2716 | 2.3707 | 19.73 | 5.7 | 19.46 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2