metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-large-finetuned-English-to-BASH
results: []
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: 0.6147
- Nl2bash M: 0.776
- Gen Len: 14.4407
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: 0.0001
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Nl2bash M | Gen Len |
|---|---|---|---|---|---|
| 1.5433 | 1.0 | 561 | 0.9192 | 0.6019 | 13.6592 |
| 0.9018 | 2.0 | 1122 | 0.7196 | 0.6793 | 14.3167 |
| 0.6917 | 3.0 | 1683 | 0.6409 | 0.7169 | 14.3827 |
| 0.5842 | 4.0 | 2244 | 0.6094 | 0.7384 | 14.1775 |
| 0.5013 | 5.0 | 2805 | 0.6041 | 0.7577 | 14.2194 |
| 0.4295 | 6.0 | 3366 | 0.5921 | 0.7632 | 14.4202 |
| 0.3762 | 7.0 | 3927 | 0.5983 | 0.7625 | 14.4853 |
| 0.3366 | 8.0 | 4488 | 0.6032 | 0.7707 | 14.4755 |
| 0.2779 | 9.0 | 5049 | 0.6084 | 0.7725 | 14.3666 |
| 0.2654 | 10.0 | 5610 | 0.6147 | 0.776 | 14.4407 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2