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question-context-random-to10-p
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.7664
- Rouge1: 0.0054
- Rouge2: 0.0
- Rougel: 0.0054
- Rougelsum: 0.0054
- Gen Len: 12.3333
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 43 | 16.1624 | 0.0054 | 0.0019 | 0.0054 | 0.0054 | 4.2667 |
| No log | 2.0 | 86 | 13.0632 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 4.4667 |
| No log | 3.0 | 129 | 11.7471 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 5.4667 |
| No log | 4.0 | 172 | 9.8950 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 6.2667 |
| No log | 5.0 | 215 | 9.2587 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 7.7333 |
| No log | 6.0 | 258 | 8.3778 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 8.0 |
| No log | 7.0 | 301 | 8.9698 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 10.1333 |
| No log | 8.0 | 344 | 8.9596 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 10.2667 |
| No log | 9.0 | 387 | 8.7883 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 11.4667 |
| No log | 10.0 | 430 | 8.7664 | 0.0054 | 0.0 | 0.0054 | 0.0054 | 12.3333 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
