<!-- 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-custom-v2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2653
- Bleu: 76.4656
- Gen Len: 16.92
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 40 | 0.3151 | 69.2544 | 17.36 |
| No log | 2.0 | 80 | 0.3087 | 70.4152 | 17.08 |
| No log | 3.0 | 120 | 0.2938 | 75.3344 | 16.92 |
| No log | 4.0 | 160 | 0.2671 | 74.809 | 16.92 |
| No log | 5.0 | 200 | 0.2653 | 76.4656 | 16.92 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2
