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recipe-lr8e06-wd0.01-bs32
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: 0.2753
- Rmse: 0.5246
- Mse: 0.2753
- Mae: 0.4184
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: 8e-06
- train_batch_size: 256
- eval_batch_size: 256
- 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 |
---|---|---|---|---|---|---|
0.2769 | 1.0 | 623 | 0.2774 | 0.5266 | 0.2774 | 0.4296 |
0.2745 | 2.0 | 1246 | 0.2739 | 0.5233 | 0.2739 | 0.4145 |
0.2733 | 3.0 | 1869 | 0.2752 | 0.5246 | 0.2752 | 0.4215 |
0.2722 | 4.0 | 2492 | 0.2744 | 0.5238 | 0.2744 | 0.4058 |
0.2714 | 5.0 | 3115 | 0.2758 | 0.5251 | 0.2758 | 0.4232 |
0.2705 | 6.0 | 3738 | 0.2753 | 0.5246 | 0.2753 | 0.4184 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1