flan-t5-small-asap_t5_f3_prompt_adherence
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0674
- Rouge1: 79.2211
- Rouge2: 73.7497
- Rougel: 79.2024
- Rougelsum: 79.199
- Gen Len: 12.0360
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 271 | 0.1073 | 74.7884 | 68.0509 | 74.791 | 74.7345 | 12.0097 |
| 0.4704 | 2.0 | 542 | 0.0746 | 77.5977 | 71.7478 | 77.6371 | 77.6192 | 12.0332 |
| 0.4704 | 3.0 | 813 | 0.0710 | 78.5683 | 73.0397 | 78.5601 | 78.5631 | 12.0180 |
| 0.0852 | 4.0 | 1084 | 0.0671 | 78.7386 | 73.1012 | 78.7286 | 78.7115 | 12.0277 |
| 0.0852 | 5.0 | 1355 | 0.0674 | 79.2211 | 73.7497 | 79.2024 | 79.199 | 12.0360 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google/flan-t5-small