mT5-tfidf-10pass-all-questions-QA-22-06-2023-6epochs
This model is a fine-tuned version of natope/mT5-tfidf-10pass-all-questions-QA-22-06-2023 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0177
- Rouge1: 0.1422
- Rouge2: 0.0347
- Rougel: 0.1132
- Rougelsum: 0.1131
- Gen Len: 18.7737
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 |
|---|---|---|---|---|---|---|---|---|
| 2.5078 | 1.0 | 3288 | 2.0529 | 0.1417 | 0.0346 | 0.1129 | 0.1129 | 18.6273 |
| 2.4219 | 2.0 | 6576 | 2.0257 | 0.14 | 0.0334 | 0.1122 | 0.1121 | 18.7185 |
| 2.3876 | 3.0 | 9864 | 2.0177 | 0.1422 | 0.0347 | 0.1132 | 0.1131 | 18.7737 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3