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t5_recommendation_sports_equipment_english
This model is a fine-tuned version of t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4554
- Rouge1: 55.5556
- Rouge2: 47.6190
- Rougel: 55.5556
- Rougelsum: 54.7619
- Gen Len: 3.9048
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 | 0.96 | 6 | 6.7375 | 8.7066 | 0.9524 | 8.6656 | 8.6168 | 19.0 |
| No log | 1.96 | 12 | 2.8089 | 23.3333 | 9.5238 | 23.3333 | 23.3333 | 3.1429 |
| No log | 2.96 | 18 | 0.9394 | 9.5238 | 4.7619 | 9.5238 | 9.5238 | 3.1905 |
| No log | 3.96 | 24 | 0.6679 | 32.8571 | 14.2857 | 32.5397 | 32.5397 | 3.5714 |
| No log | 4.96 | 30 | 0.6736 | 25.8730 | 9.5238 | 25.0794 | 25.2381 | 4.2381 |
| No log | 5.96 | 36 | 0.6658 | 37.9365 | 23.8095 | 37.5397 | 37.6190 | 4.0476 |
| No log | 6.96 | 42 | 0.6460 | 45.2381 | 33.3333 | 45.5556 | 45.2381 | 3.8571 |
| No log | 7.96 | 48 | 0.5596 | 50.7937 | 42.8571 | 50.7937 | 50.7937 | 4.0 |
| No log | 8.96 | 54 | 0.5082 | 55.5556 | 47.6190 | 55.5556 | 54.7619 | 3.9524 |
| No log | 9.96 | 60 | 0.4554 | 55.5556 | 47.6190 | 55.5556 | 54.7619 | 3.9048 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.0+cu117
- Datasets 2.8.0
- Tokenizers 0.13.3
