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mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams-with-nonfactual
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: 2.0171
- Rouge1: 0.1497
- Rouge2: 0.0386
- Rougel: 0.1189
- Rougelsum: 0.1189
- Gen Len: 18.9316
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 |
|---|---|---|---|---|---|---|---|---|
| 2.6643 | 1.0 | 7356 | 2.0955 | 0.1434 | 0.0364 | 0.115 | 0.1148 | 18.7652 |
| 2.5667 | 2.0 | 14712 | 2.0301 | 0.1494 | 0.0387 | 0.1188 | 0.1187 | 18.9123 |
| 2.5061 | 3.0 | 22068 | 2.0171 | 0.1497 | 0.0386 | 0.1189 | 0.1189 | 18.9316 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
