|
--- |
|
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 |
|
|
