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t5-large-finetuned-English-to-BASH-NL2BASH-customv2
This model is a fine-tuned version of alexsha/t5-large-finetuned-English-to-BASH on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4279
- Nl2bash M: 0.2836
- Gen Len: 15.3647
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: 1e-05
- train_batch_size: 9
- eval_batch_size: 9
- 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 |
|---|---|---|---|---|---|
| No log | 1.0 | 76 | 2.3263 | 0.1265 | 15.6353 |
| No log | 2.0 | 152 | 1.8083 | 0.1575 | 15.6235 |
| No log | 3.0 | 228 | 1.5713 | 0.2088 | 15.4 |
| No log | 4.0 | 304 | 1.4584 | 0.2622 | 15.3647 |
| No log | 5.0 | 380 | 1.4279 | 0.2836 | 15.3647 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.6.1
- Tokenizers 0.11.0
