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flan-t5-base-clang8-e1-b16
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: 0.3150
- Rouge1: 82.2657
- Rouge2: 76.3303
- Rougel: 81.8622
- Rougelsum: 81.9329
- Gen Len: 16.6232
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.227 | 0.34 | 50000 | 0.3619 | 79.9421 | 73.5267 | 79.424 | 79.5292 | 16.1650 |
| 0.1658 | 0.68 | 100000 | 0.3150 | 82.2657 | 76.3303 | 81.8622 | 81.9329 | 16.6232 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.11.0a0+b6df043
- Datasets 2.11.0
- Tokenizers 0.13.2
