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T5-model-1-feedback-1109
This model is a fine-tuned version of theojolliffe/T5-model-1-d-6 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2841
- Rouge1: 91.4494
- Rouge2: 86.4303
- Rougel: 89.9713
- Rougelsum: 90.045
- Gen Len: 15.2875
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 359 | 0.3270 | 91.5397 | 86.6427 | 90.0821 | 90.1433 | 15.2875 |
| 0.2963 | 2.0 | 718 | 0.2847 | 91.4494 | 86.4303 | 89.9713 | 90.045 | 15.2875 |
| 0.2697 | 3.0 | 1077 | 0.2841 | 91.4494 | 86.4303 | 89.9713 | 90.045 | 15.2875 |
Framework versions
- Transformers 4.12.3
- Pytorch 1.9.0
- Datasets 1.18.0
- Tokenizers 0.10.3
