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t5-small-finetuned-English-to-BASH
This model is a fine-tuned version of kevinum/t5-small-finetuned-English-to-BASH on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7624
- Bleu: 15.8119
- Gen Len: 7.75
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: 2e-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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 36 | 2.4759 | 9.4129 | 12.8472 |
| No log | 2.0 | 72 | 2.2581 | 14.8612 | 9.7639 |
| No log | 3.0 | 108 | 2.0998 | 16.1955 | 8.7222 |
| No log | 4.0 | 144 | 1.9945 | 14.576 | 8.4444 |
| No log | 5.0 | 180 | 1.9181 | 15.4464 | 8.1806 |
| No log | 6.0 | 216 | 1.8639 | 14.7446 | 7.9028 |
| No log | 7.0 | 252 | 1.8185 | 14.5825 | 8.0833 |
| No log | 8.0 | 288 | 1.7867 | 14.9773 | 7.9444 |
| No log | 9.0 | 324 | 1.7679 | 15.8119 | 7.75 |
| No log | 10.0 | 360 | 1.7624 | 15.8119 | 7.75 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
