t5-small-ENG2BASH-NL2BASH-customv1
This model is a fine-tuned version of alexsha/t5-small-ENG2BASH-NL2BASH on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2460
- Bleu: 89.1258
- Gen Len: 6.4872
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 |
---|---|---|---|---|---|
No log | 1.0 | 63 | 0.9255 | 8.9812 | 6.7179 |
No log | 2.0 | 126 | 0.5406 | 52.1648 | 7.0256 |
No log | 3.0 | 189 | 0.3841 | 61.0328 | 7.5897 |
No log | 4.0 | 252 | 0.2745 | 65.7791 | 7.641 |
No log | 5.0 | 315 | 0.2461 | 83.3 | 6.5641 |
No log | 6.0 | 378 | 0.2582 | 84.9958 | 6.7436 |
No log | 7.0 | 441 | 0.2703 | 85.5359 | 6.3333 |
0.5161 | 8.0 | 504 | 0.2527 | 86.893 | 6.7179 |
0.5161 | 9.0 | 567 | 0.2471 | 88.5593 | 6.5641 |
0.5161 | 10.0 | 630 | 0.2460 | 89.1258 | 6.4872 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2
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