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recipe-gauss-3
This model is a fine-tuned version of paola-md/recipe-distilroberta-Is on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2729
- Rmse: 0.5224
- Mse: 0.2729
- Mae: 0.3977
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Rmse | Mse | Mae |
---|---|---|---|---|---|---|
0.2602 | 1.0 | 745 | 0.2613 | 0.5112 | 0.2613 | 0.4000 |
0.2562 | 2.0 | 1490 | 0.2595 | 0.5094 | 0.2595 | 0.3958 |
0.2542 | 3.0 | 2235 | 0.2595 | 0.5094 | 0.2595 | 0.3932 |
0.2521 | 4.0 | 2980 | 0.2615 | 0.5114 | 0.2615 | 0.4016 |
0.2503 | 5.0 | 3725 | 0.2594 | 0.5093 | 0.2594 | 0.3913 |
0.2473 | 6.0 | 4470 | 0.2641 | 0.5139 | 0.2641 | 0.3834 |
0.244 | 7.0 | 5215 | 0.2649 | 0.5147 | 0.2649 | 0.3986 |
0.2401 | 8.0 | 5960 | 0.2661 | 0.5158 | 0.2661 | 0.3906 |
0.2359 | 9.0 | 6705 | 0.2693 | 0.5189 | 0.2693 | 0.3946 |
0.2332 | 10.0 | 7450 | 0.2729 | 0.5224 | 0.2729 | 0.3977 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1