|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: recipe-roberta-s |
|
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-roberta-s |
|
|
|
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8870 |
|
|
|
## 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: 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: 20 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 1.3387 | 1.0 | 820 | 1.1529 | |
|
| 1.187 | 2.0 | 1640 | 1.0643 | |
|
| 1.1213 | 3.0 | 2460 | 1.0371 | |
|
| 1.0859 | 4.0 | 3280 | 1.0000 | |
|
| 1.0566 | 5.0 | 4100 | 0.9798 | |
|
| 1.0338 | 6.0 | 4920 | 0.9637 | |
|
| 1.0162 | 7.0 | 5740 | 0.9538 | |
|
| 1.0003 | 8.0 | 6560 | 0.9332 | |
|
| 0.9878 | 9.0 | 7380 | 0.9252 | |
|
| 0.9767 | 10.0 | 8200 | 0.9189 | |
|
| 0.9664 | 11.0 | 9020 | 0.9145 | |
|
| 0.9627 | 12.0 | 9840 | 0.9065 | |
|
| 0.9539 | 13.0 | 10660 | 0.9027 | |
|
| 0.9461 | 14.0 | 11480 | 0.9029 | |
|
| 0.9435 | 15.0 | 12300 | 0.8949 | |
|
| 0.9404 | 16.0 | 13120 | 0.8924 | |
|
| 0.9359 | 17.0 | 13940 | 0.8874 | |
|
| 0.9307 | 18.0 | 14760 | 0.8842 | |
|
| 0.9295 | 19.0 | 15580 | 0.8853 | |
|
| 0.9263 | 20.0 | 16400 | 0.8870 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.19.0.dev0 |
|
- Pytorch 1.11.0+cu102 |
|
- Datasets 2.3.2 |
|
- Tokenizers 0.12.1 |
|
|
