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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: 0.3792
- Rouge1: 62.6984
- Rouge2: 52.3810
- Rougel: 62.2222
- Rougelsum: 61.7460
- Gen Len: 4.0952
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 | 6.0703 | 12.4840 | 3.7037 | 12.5005 | 12.7335 | 18.6190 |
| No log | 1.96 | 12 | 1.9263 | 16.1905 | 0.0 | 16.1905 | 16.1905 | 3.0 |
| No log | 2.96 | 18 | 0.6881 | 21.4286 | 9.5238 | 21.4286 | 21.4286 | 4.0476 |
| No log | 3.96 | 24 | 0.5698 | 31.7460 | 14.2857 | 30.9524 | 30.9524 | 4.3810 |
| No log | 4.96 | 30 | 0.5309 | 38.4127 | 28.5714 | 38.0952 | 38.0952 | 3.9524 |
| No log | 5.96 | 36 | 0.4689 | 57.9365 | 52.3810 | 57.9365 | 57.9365 | 3.8095 |
| No log | 6.96 | 42 | 0.4118 | 60.3175 | 52.3810 | 60.3175 | 60.3175 | 4.0476 |
| No log | 7.96 | 48 | 0.4018 | 62.6984 | 52.3810 | 62.2222 | 61.7460 | 4.0952 |
| No log | 8.96 | 54 | 0.3918 | 62.6984 | 52.3810 | 62.2222 | 61.7460 | 4.0952 |
| No log | 9.96 | 60 | 0.3792 | 62.6984 | 52.3810 | 62.2222 | 61.7460 | 4.0952 |
Framework versions
- Transformers 4.26.0
- Pytorch 2.0.1+cu118
- Datasets 2.8.0
- Tokenizers 0.13.3
