t5-large-finetuned-English-to-BASH
This model is a fine-tuned version of t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7646
- Nl2bash M: 0.7822
- Gen Len: 14.4665
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: 16
- eval_batch_size: 16
- 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 | Nl2bash M | Gen Len |
|---|---|---|---|---|---|
| 0.2312 | 1.0 | 561 | 0.6370 | 0.7743 | 14.4202 |
| 0.1836 | 2.0 | 1122 | 0.6767 | 0.7782 | 14.4585 |
| 0.1445 | 3.0 | 1683 | 0.7171 | 0.7805 | 14.3586 |
| 0.1263 | 4.0 | 2244 | 0.7457 | 0.78 | 14.479 |
| 0.1092 | 5.0 | 2805 | 0.7646 | 0.7822 | 14.4665 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.