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mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams-6epochs
This model is a fine-tuned version of natope/mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9367
- Rouge1: 0.1454
- Rouge2: 0.0353
- Rougel: 0.1163
- Rougelsum: 0.1162
- Gen Len: 18.9872
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 |
|---|---|---|---|---|---|---|---|---|
| 2.3923 | 1.0 | 5187 | 1.9667 | 0.1476 | 0.0368 | 0.1175 | 0.1175 | 18.9341 |
| 2.339 | 2.0 | 10374 | 1.9422 | 0.144 | 0.035 | 0.1147 | 0.1147 | 18.9744 |
| 2.3224 | 3.0 | 15561 | 1.9367 | 0.1454 | 0.0353 | 0.1163 | 0.1162 | 18.9872 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
