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t5_recommendation_sports_equipment
This model is a fine-tuned version of t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3702
- Rouge1: 30.0
- Rouge2: 5.0
- Rougel: 30.0
- Rougelsum: 30.0
- Gen Len: 4.9
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 | 1.0 | 5 | 11.3134 | 5.0 | 2.5 | 5.0 | 3.3333 | 11.85 |
| No log | 2.0 | 10 | 6.7971 | 1.6667 | 0.0 | 1.6667 | 1.6667 | 19.0 |
| No log | 3.0 | 15 | 3.5555 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| No log | 4.0 | 20 | 1.3544 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 5.0 | 25 | 0.6216 | 5.0 | 5.0 | 5.0 | 5.0 | 4.8 |
| No log | 6.0 | 30 | 0.4824 | 25.0 | 5.0 | 25.0 | 25.0 | 4.95 |
| No log | 7.0 | 35 | 0.4357 | 5.0 | 5.0 | 5.0 | 5.0 | 4.7 |
| No log | 8.0 | 40 | 0.4148 | 25.0 | 5.0 | 25.0 | 25.0 | 4.7 |
| No log | 9.0 | 45 | 0.3853 | 25.0 | 5.0 | 25.0 | 25.0 | 4.7 |
| No log | 10.0 | 50 | 0.3702 | 30.0 | 5.0 | 30.0 | 30.0 | 4.9 |
Framework versions
- Transformers 4.26.0
- Pytorch 2.0.1+cu118
- Datasets 2.8.0
- Tokenizers 0.13.3
