godel_restaurants
This model is a fine-tuned version of microsoft/GODEL-v1_1-base-seq2seq on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2869
- Bleu: 0.0565
- Rouge2: 0.0546
- Rougel: 0.2087
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge2 | Rougel |
|---|---|---|---|---|---|---|
| 6.0069 | 1.0 | 14 | 5.6691 | 0.0 | 0.0073 | 0.0748 |
| 3.4734 | 2.0 | 28 | 3.0378 | 0.0 | 0.0073 | 0.0637 |
| 1.1689 | 3.0 | 42 | 0.6709 | 0.0 | 0.0065 | 0.0626 |
| 0.523 | 4.0 | 56 | 0.4075 | 0.0 | 0.0065 | 0.0637 |
| 0.4393 | 5.0 | 70 | 0.3495 | 0.0 | 0.0108 | 0.1135 |
| 0.1731 | 6.0 | 84 | 0.3100 | 0.0 | 0.0248 | 0.1499 |
| 0.1428 | 7.0 | 98 | 0.2962 | 0.0 | 0.0582 | 0.1752 |
| 0.1594 | 8.0 | 112 | 0.2931 | 0.0 | 0.0407 | 0.2034 |
| 0.2354 | 9.0 | 126 | 0.2896 | 0.0562 | 0.0546 | 0.21 |
| 0.2704 | 10.0 | 140 | 0.2869 | 0.0565 | 0.0546 | 0.2087 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2