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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: 0.4517
- Rouge1: 57.9365
- Rouge2: 47.6190
- Rougel: 56.9841
- Rougelsum: 56.6667
- 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 | 6.7882 | 8.8278 | 0.9524 | 8.7668 | 8.8278 | 19.0 |
| No log | 1.96 | 12 | 2.3412 | 18.0952 | 0.0 | 18.0952 | 18.0952 | 3.2381 |
| No log | 2.96 | 18 | 0.8550 | 11.9048 | 4.7619 | 11.9048 | 11.9048 | 4.0 |
| No log | 3.96 | 24 | 0.7481 | 32.3810 | 4.7619 | 32.0635 | 32.0635 | 3.9048 |
| No log | 4.96 | 30 | 0.7208 | 21.2698 | 4.7619 | 20.7937 | 20.7937 | 3.6190 |
| No log | 5.96 | 36 | 0.6293 | 31.7460 | 23.8095 | 31.7460 | 31.7460 | 3.6667 |
| No log | 6.96 | 42 | 0.6203 | 43.6508 | 33.3333 | 43.4921 | 42.6984 | 3.9048 |
| No log | 7.96 | 48 | 0.6352 | 48.4127 | 33.3333 | 46.8254 | 46.8254 | 3.8095 |
| No log | 8.96 | 54 | 0.5334 | 53.2540 | 42.8571 | 52.3810 | 52.0635 | 3.9524 |
| No log | 9.96 | 60 | 0.4517 | 57.9365 | 47.6190 | 56.9841 | 56.6667 | 3.9048 |
Framework versions
- Transformers 4.26.0
- Pytorch 2.0.1+cu118
- Datasets 2.8.0
- Tokenizers 0.13.3
