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Product_Review_Summary
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4651
- Rouge1: 0.5072
- Rouge2: 0.2453
- Rougel: 0.3808
- Rougelsum: 0.3822
- Gen Len: 77.275
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: 2.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 45 | 1.4795 | 0.5164 | 0.246 | 0.3857 | 0.385 | 78.875 |
| No log | 2.0 | 90 | 1.4651 | 0.5072 | 0.2453 | 0.3808 | 0.3822 | 77.275 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
