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flan-t5-base-indian-constitution
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0008
- Rouge1: 29.7093
- Rouge2: 28.4336
- Rougel: 29.6229
- Rougelsum: 29.5617
- Gen Len: 18.9651
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: 1
- eval_batch_size: 8
- 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 | 344 | 0.0009 | 29.7093 | 28.4336 | 29.6229 | 29.5617 | 18.9651 |
| 0.0021 | 2.0 | 688 | 0.0008 | 29.7093 | 28.4336 | 29.6229 | 29.5617 | 18.9651 |
| 0.0013 | 3.0 | 1032 | 0.0008 | 29.7093 | 28.4336 | 29.6229 | 29.5617 | 18.9651 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
