|
|
--- |
|
|
library_name: transformers |
|
|
license: mit |
|
|
base_model: roberta-base |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: roberta-sentence-classifier |
|
|
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-sentence-classifier |
|
|
|
|
|
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: 0.6266 |
|
|
- Accuracy: 0.7990 |
|
|
- Macro F1: 0.7614 |
|
|
- Micro F1: 0.7990 |
|
|
- Qwk: 0.6588 |
|
|
|
|
|
## 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: 1e-05 |
|
|
- train_batch_size: 8 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 4 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Micro F1 | Qwk | |
|
|
|:-------------:|:-----:|:------:|:---------------:|:--------:|:--------:|:--------:|:------:| |
|
|
| 0.6267 | 1.0 | 27540 | 0.6108 | 0.7818 | 0.7364 | 0.7818 | 0.6352 | |
|
|
| 0.5539 | 2.0 | 55080 | 0.5939 | 0.7911 | 0.7498 | 0.7911 | 0.6428 | |
|
|
| 0.475 | 3.0 | 82620 | 0.6021 | 0.7977 | 0.7592 | 0.7977 | 0.6599 | |
|
|
| 0.4204 | 4.0 | 110160 | 0.6266 | 0.7990 | 0.7614 | 0.7990 | 0.6588 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.57.3 |
|
|
- Pytorch 2.9.0+cu126 |
|
|
- Datasets 4.0.0 |
|
|
- Tokenizers 0.22.1 |
|
|
|
