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t5-large-finetuned-English-to-BASH
alexsha/t5-large-finetuned-English-to-BASH
t5-large-finetuned-English-to-BASH is a machine learning model from alexsha. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Feb 25, 2023
- Updated
- Mar 11, 2023
- SHA
- afa4b7b2
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Feb 25, 2023
- Updated
- Mar 11, 2023