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mt5-small-finetuned-1feb-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: 2.3856
- Rouge1: 8.74
- Rouge2: 2.66
- Rougel: 8.58
- Rougelsum: 8.6
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 5.3153 | 1.0 | 311 | 2.6946 | 7.56 | 2.04 | 7.55 | 7.46 |
| 3.3159 | 2.0 | 622 | 2.5923 | 8.07 | 2.28 | 8.05 | 8.02 |
| 3.092 | 3.0 | 933 | 2.5342 | 7.83 | 2.01 | 7.81 | 7.76 |
| 2.9676 | 4.0 | 1244 | 2.4982 | 8.45 | 2.49 | 8.37 | 8.39 |
| 2.862 | 5.0 | 1555 | 2.4627 | 8.3 | 2.5 | 8.26 | 8.27 |
| 2.7891 | 6.0 | 1866 | 2.4366 | 8.67 | 2.81 | 8.53 | 8.55 |
| 2.7391 | 7.0 | 2177 | 2.4215 | 8.51 | 2.54 | 8.45 | 8.42 |
| 2.6887 | 8.0 | 2488 | 2.4277 | 8.71 | 2.53 | 8.56 | 8.54 |
| 2.6392 | 9.0 | 2799 | 2.3939 | 8.49 | 2.53 | 8.4 | 8.4 |
| 2.6139 | 10.0 | 3110 | 2.4015 | 9.28 | 2.85 | 9.14 | 9.19 |
| 2.5727 | 11.0 | 3421 | 2.3956 | 9.24 | 2.9 | 9.08 | 9.09 |
| 2.5595 | 12.0 | 3732 | 2.3856 | 8.45 | 2.59 | 8.31 | 8.35 |
| 2.5471 | 13.0 | 4043 | 2.3891 | 8.64 | 2.79 | 8.53 | 8.52 |
| 2.5231 | 14.0 | 4354 | 2.3870 | 8.78 | 2.79 | 8.64 | 8.6 |
| 2.5024 | 15.0 | 4665 | 2.3856 | 8.74 | 2.66 | 8.58 | 8.6 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
