|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: roberta-base-finetuned-sdg |
|
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. --> |
|
|
|
# roberta-base-finetuned-sdg |
|
|
|
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: 0.4993 |
|
- Acc: 0.9024 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 8 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Acc | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.4679 | 1.0 | 254 | 0.3660 | 0.8963 | |
|
| 0.3578 | 2.0 | 508 | 0.3689 | 0.9019 | |
|
| 0.2739 | 3.0 | 762 | 0.3284 | 0.9035 | |
|
| 0.1841 | 4.0 | 1016 | 0.3763 | 0.9019 | |
|
| 0.1127 | 5.0 | 1270 | 0.4174 | 0.9024 | |
|
| 0.0822 | 6.0 | 1524 | 0.4523 | 0.9013 | |
|
| 0.0329 | 7.0 | 1778 | 0.4829 | 0.9030 | |
|
| 0.0157 | 8.0 | 2032 | 0.4993 | 0.9024 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.21.1 |
|
- Pytorch 1.12.0a0+8a1a93a |
|
- Datasets 2.4.0 |
|
- Tokenizers 0.12.1 |
|
|
