|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: recipe-roberta-is |
|
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-is |
|
|
|
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: 0.8382 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 1.334 | 1.0 | 961 | 1.1217 | |
|
| 1.1638 | 2.0 | 1922 | 1.0369 | |
|
| 1.0936 | 3.0 | 2883 | 0.9922 | |
|
| 1.0503 | 4.0 | 3844 | 0.9606 | |
|
| 1.0188 | 5.0 | 4805 | 0.9314 | |
|
| 0.9953 | 6.0 | 5766 | 0.9256 | |
|
| 0.9769 | 7.0 | 6727 | 0.9109 | |
|
| 0.9599 | 8.0 | 7688 | 0.8978 | |
|
| 0.9461 | 9.0 | 8649 | 0.8813 | |
|
| 0.9377 | 10.0 | 9610 | 0.8777 | |
|
| 0.9253 | 11.0 | 10571 | 0.8755 | |
|
| 0.918 | 12.0 | 11532 | 0.8601 | |
|
| 0.9112 | 13.0 | 12493 | 0.8541 | |
|
| 0.9043 | 14.0 | 13454 | 0.8548 | |
|
| 0.8984 | 15.0 | 14415 | 0.8470 | |
|
| 0.8958 | 16.0 | 15376 | 0.8412 | |
|
| 0.8914 | 17.0 | 16337 | 0.8345 | |
|
| 0.8882 | 18.0 | 17298 | 0.8353 | |
|
| 0.8871 | 19.0 | 18259 | 0.8344 | |
|
| 0.8839 | 20.0 | 19220 | 0.8382 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.19.0.dev0 |
|
- Pytorch 1.11.0+cu102 |
|
- Datasets 2.3.2 |
|
- Tokenizers 0.12.1 |
|
|
