license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
model-index: | |
- name: t5-large-finetuned-NL2BASH-customv3 | |
results: [] | |
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# t5-large-finetuned-NL2BASH-customv3 | |
This model is a fine-tuned version of [alexsha/t5-large-finetuned-English-to-BASH](https://huggingface.co/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 | |