| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: recipe-lr5e05-wd0.02-bs32 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # recipe-lr5e05-wd0.02-bs32 |
| |
|
| | This model is a fine-tuned version of [paola-md/recipe-distilroberta-Is](https://huggingface.co/paola-md/recipe-distilroberta-Is) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2738 |
| | - Rmse: 0.5232 |
| | - Mse: 0.2738 |
| | - Mae: 0.4117 |
| |
|
| | ## 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: 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| |
| | | 0.2788 | 1.0 | 1245 | 0.2766 | 0.5259 | 0.2766 | 0.4212 | |
| | | 0.2757 | 2.0 | 2490 | 0.2777 | 0.5270 | 0.2777 | 0.4271 | |
| | | 0.2741 | 3.0 | 3735 | 0.2745 | 0.5239 | 0.2745 | 0.4202 | |
| | | 0.2725 | 4.0 | 4980 | 0.2760 | 0.5254 | 0.2760 | 0.4030 | |
| | | 0.2711 | 5.0 | 6225 | 0.2752 | 0.5246 | 0.2752 | 0.4186 | |
| | | 0.2692 | 6.0 | 7470 | 0.2738 | 0.5232 | 0.2738 | 0.4117 | |
| |
|
| |
|
| | ### Test results |
| | Using the model saved for 4 epochs, we achived the following results on the test set: |
| | ``` |
| | { |
| | "test_mae": 0.39440343575349946, |
| | "test_runtime": 22.6921, |
| | "test_samples_per_second": 866.867, |
| | "test_steps_per_second": 6.787 |
| | } |
| | ``` |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.19.0.dev0 |
| | - Pytorch 1.9.0+cu111 |
| | - Datasets 2.4.0 |
| | - Tokenizers 0.12.1 |
| |
|
