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mt5-small-finetuned-6feb-5
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: 2.5265
- Rouge1: 18.25
- Rouge2: 5.96
- Rougel: 17.96
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: 0.0001
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|---|---|---|---|---|---|---|
| 5.1138 | 1.0 | 311 | 2.7003 | 16.27 | 5.15 | 16.11 |
| 3.358 | 2.0 | 622 | 2.5948 | 17.74 | 5.36 | 17.48 |
| 3.1594 | 3.0 | 933 | 2.5645 | 18.18 | 5.99 | 17.95 |
| 3.068 | 4.0 | 1244 | 2.5200 | 18.32 | 6.16 | 18.0 |
| 3.0086 | 5.0 | 1555 | 2.5265 | 18.25 | 5.96 | 17.96 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
