metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-large-finetuned-NL2BASH-customv3
results: []
t5-large-finetuned-NL2BASH-customv3
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: 0.6790
- Nl2bash M: 0.8878
- Gen Len: 13.5207
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: 6e-05
- train_batch_size: 5
- eval_batch_size: 5
- 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 | Nl2bash M | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 387 | 0.6405 | 0.8927 | 13.3223 |
| 0.0699 | 2.0 | 774 | 0.6508 | 0.8898 | 13.5207 |
| 0.0578 | 3.0 | 1161 | 0.6790 | 0.8878 | 13.5207 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.6.1
- Tokenizers 0.11.0