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T5-model-1-feedback-3110
This model is a fine-tuned version of theojolliffe/T5-model-1-feedback-1109 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1605
- Rouge1: 91.3604
- Rouge2: 86.1024
- Rougel: 90.6798
- Rougelsum: 90.7011
- Gen Len: 15.7167
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.2711 | 1.0 | 2279 | 0.2176 | 90.3305 | 83.9311 | 89.4476 | 89.4573 | 15.7 |
| 0.1709 | 2.0 | 4558 | 0.1759 | 91.3226 | 85.9979 | 90.7558 | 90.7395 | 15.5667 |
| 0.1644 | 3.0 | 6837 | 0.1641 | 91.8385 | 86.7529 | 91.1621 | 91.1492 | 15.6792 |
| 0.1606 | 4.0 | 9116 | 0.1605 | 91.3604 | 86.1024 | 90.6798 | 90.7011 | 15.7167 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
