mt5-large-gramatika1500k
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: 0.0471
- Rouge1: 75.56
- Rouge2: 72.1272
- Rougel: 75.5131
- Rougelsum: 75.5134
- Gen Len: 18.4427
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.1109 | 1.33 | 100000 | 0.0567 | 75.0228 | 71.1923 | 74.9653 | 74.9652 | 18.4441 |
| 0.0572 | 2.67 | 200000 | 0.0494 | 75.3858 | 71.8285 | 75.3356 | 75.334 | 18.4427 |
| 0.0431 | 4.0 | 300000 | 0.0471 | 75.56 | 72.1272 | 75.5131 | 75.5134 | 18.4427 |
| 0.0332 | 5.33 | 400000 | 0.0486 | 75.6167 | 72.2424 | 75.5734 | 75.5726 | 18.4424 |
| 0.0277 | 6.67 | 500000 | 0.0490 | 75.6749 | 72.3462 | 75.6327 | 75.6317 | 18.4428 |
| 0.0236 | 8.0 | 600000 | 0.0501 | 75.6924 | 72.3891 | 75.6502 | 75.6508 | 18.4430 |
| 0.0202 | 9.34 | 700000 | 0.0525 | 75.7134 | 72.4174 | 75.6724 | 75.6714 | 18.4427 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.11.0a0+b6df043
- Datasets 2.12.0
- Tokenizers 0.13.3
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Base model
google/mt5-large