t5_recommendation_treatment
This model is a fine-tuned version of t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0570
- Rouge1: 100.0
- Rouge2: 50.0
- Rougel: 100.0
- Rougelsum: 100.0
- Gen Len: 3.5
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 | 4.5513 | 0.0 | 0.0 | 0.0 | 0.0 | 14.5 |
No log | 1.96 | 12 | 1.6414 | 50.0 | 50.0 | 50.0 | 50.0 | 5.0 |
No log | 2.96 | 18 | 0.0393 | 100.0 | 50.0 | 100.0 | 100.0 | 3.5 |
No log | 3.96 | 24 | 0.0521 | 100.0 | 50.0 | 100.0 | 100.0 | 3.5 |
No log | 4.96 | 30 | 0.2461 | 50.0 | 50.0 | 50.0 | 50.0 | 5.0 |
No log | 5.96 | 36 | 0.2271 | 50.0 | 50.0 | 50.0 | 50.0 | 5.0 |
No log | 6.96 | 42 | 0.1591 | 50.0 | 50.0 | 50.0 | 50.0 | 5.0 |
No log | 7.96 | 48 | 0.0131 | 100.0 | 50.0 | 100.0 | 100.0 | 3.5 |
No log | 8.96 | 54 | 0.0208 | 100.0 | 50.0 | 100.0 | 100.0 | 3.5 |
No log | 9.96 | 60 | 0.0570 | 100.0 | 50.0 | 100.0 | 100.0 | 3.5 |
Framework versions
- Transformers 4.26.0
- Pytorch 2.1.0+cu121
- Datasets 2.8.0
- Tokenizers 0.13.3
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