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mt5-large-gramatika161k-b16-lr0.001
This model is a fine-tuned version of google/mt5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1429
- Rouge1: 71.0622
- Rouge2: 65.0219
- Rougel: 70.921
- Rougelsum: 70.9407
- Gen Len: 18.3295
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.3954 | 0.63 | 5000 | 0.1851 | 69.5715 | 62.3503 | 69.3784 | 69.3899 | 18.3461 |
| 0.1746 | 1.27 | 10000 | 0.1537 | 70.6244 | 64.1779 | 70.4518 | 70.4717 | 18.3410 |
| 0.123 | 1.9 | 15000 | 0.1429 | 71.0622 | 65.0219 | 70.921 | 70.9407 | 18.3295 |
| 0.0758 | 2.54 | 20000 | 0.1468 | 71.5151 | 65.7486 | 71.3742 | 71.3959 | 18.3246 |
| 0.0568 | 3.17 | 25000 | 0.1603 | 71.6869 | 66.1031 | 71.5594 | 71.5794 | 18.3302 |
| 0.0327 | 3.81 | 30000 | 0.1556 | 71.9011 | 66.4738 | 71.7817 | 71.8013 | 18.3311 |
| 0.0196 | 4.44 | 35000 | 0.1782 | 72.0041 | 66.6645 | 71.886 | 71.9038 | 18.3293 |
Framework versions
- Transformers 4.30.1
- Pytorch 1.11.0a0+b6df043
- Datasets 2.12.0
- Tokenizers 0.13.3
