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t5-small-ENG2BASH-NL2BASH
alexsha/t5-small-ENG2BASH-NL2BASH
t5-small-ENG2BASH-NL2BASH 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Feb 21, 2023
- Updated
- Feb 21, 2023
- SHA
- 5fc44315
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-small-ENG2BASH-NL2BASH
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9071
- Bleu: 22.5899
- Gen Len: 16.6106
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: 0.0002
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.5303 | 1.0 | 2017 | 1.3430 | 16.1379 | 16.8501 |
| 1.284 | 2.0 | 4034 | 1.1602 | 18.2161 | 16.6542 |
| 1.1289 | 3.0 | 6051 | 1.0617 | 19.8231 | 16.563 |
| 1.0573 | 4.0 | 8068 | 1.0064 | 20.1614 | 16.429 |
| 0.9723 | 5.0 | 10085 | 0.9780 | 21.3802 | 16.4393 |
| 0.915 | 6.0 | 12102 | 0.9451 | 21.3512 | 16.7304 |
| 0.8774 | 7.0 | 14119 | 0.9272 | 22.102 | 16.6178 |
| 0.8411 | 8.0 | 16136 | 0.9133 | 22.4544 | 16.7407 |
| 0.7958 | 9.0 | 18153 | 0.9095 | 22.5116 | 16.5726 |
| 0.7943 | 10.0 | 20170 | 0.9071 | 22.5899 | 16.6106 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- Created
- Feb 21, 2023
- Updated
- Feb 21, 2023