longt5
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8770
- Rouge1: 8.7519
- Rouge2: 4.0961
- Rougel: 7.4152
- Rougelsum: 8.2583
- Gen Len: 19.0
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: 4e-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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.1398 | 1.0 | 1029 | 1.9004 | 8.6206 | 4.0658 | 7.3531 | 8.1538 | 19.0 |
| 2.0706 | 2.0 | 2058 | 1.8770 | 8.7519 | 4.0961 | 7.4152 | 8.2583 | 19.0 |
Framework versions
- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google/flan-t5-base