<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
flan-t5-small-carvia_nlc2cmd_ver2
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: 0.1225
- Rouge1: 83.9262
- Rouge2: 59.9956
- Rougel: 83.9262
- Rougelsum: 83.9381
- 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: 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 |
|---|---|---|---|---|---|---|---|---|
| 0.1152 | 1.0 | 1625 | 0.1225 | 83.9262 | 59.9956 | 83.9262 | 83.9381 | 19.0 |
| 0.1126 | 2.0 | 3250 | 0.1560 | 79.3619 | 51.4444 | 79.3857 | 79.3357 | 19.0 |
| 0.1083 | 3.0 | 4875 | 0.1682 | 80.4274 | 53.4222 | 80.4655 | 80.4167 | 19.0 |
| 0.1066 | 4.0 | 6500 | 0.1785 | 79.3393 | 51.3667 | 79.3524 | 79.2964 | 19.0 |
| 0.1079 | 5.0 | 8125 | 0.1793 | 79.3119 | 51.3222 | 79.3357 | 79.2833 | 19.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3
