t5-small-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol-finetuned-nl-to-fol
This model is a fine-tuned version of anki08/t5-small-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1468
- Bleu: 30.3266
- Gen Len: 18.8824
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 | 17 | 0.1486 | 30.3537 | 18.8824 |
| No log | 2.0 | 34 | 0.1474 | 30.2522 | 18.8824 |
| No log | 3.0 | 51 | 0.1465 | 30.2522 | 18.8824 |
| No log | 4.0 | 68 | 0.1461 | 30.2522 | 18.8824 |
| No log | 5.0 | 85 | 0.1469 | 30.2522 | 18.8824 |
| No log | 6.0 | 102 | 0.1457 | 29.8889 | 18.8824 |
| No log | 7.0 | 119 | 0.1470 | 30.3537 | 18.8824 |
| No log | 8.0 | 136 | 0.1469 | 30.3537 | 18.8824 |
| No log | 9.0 | 153 | 0.1469 | 30.3266 | 18.8824 |
| No log | 10.0 | 170 | 0.1468 | 30.3266 | 18.8824 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1