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mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams-with-nonfactual-questionsonly-v2
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: 2.0728
- Rouge1: 0.1431
- Rouge2: 0.0347
- Rougel: 0.1154
- Rougelsum: 0.1154
- Gen Len: 18.8581
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.8564 | 1.0 | 7356 | 2.1867 | 0.1347 | 0.029 | 0.1096 | 0.1097 | 18.4387 |
| 2.6757 | 2.0 | 14712 | 2.0937 | 0.1417 | 0.0338 | 0.1144 | 0.1144 | 18.8645 |
| 2.6049 | 3.0 | 22068 | 2.0728 | 0.1431 | 0.0347 | 0.1154 | 0.1154 | 18.8581 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
