|
--- |
|
license: cc |
|
base_model: davidmasip/racism |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- precision |
|
- recall |
|
model-index: |
|
- name: racism-finetuned-detests-wandb24 |
|
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. --> |
|
|
|
# racism-finetuned-detests-wandb24 |
|
|
|
This model is a fine-tuned version of [davidmasip/racism](https://huggingface.co/davidmasip/racism) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3916 |
|
- Accuracy: 0.8380 |
|
- F1-score: 0.7712 |
|
- Precision: 0.7692 |
|
- Recall: 0.7733 |
|
- Auc: 0.7733 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 2 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:| |
|
| 0.357 | 1.0 | 39 | 0.3343 | 0.8576 | 0.7614 | 0.8374 | 0.7277 | 0.7277 | |
|
| 0.1109 | 2.0 | 78 | 0.3916 | 0.8380 | 0.7712 | 0.7692 | 0.7733 | 0.7733 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.2 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.17.0 |
|
- Tokenizers 0.15.1 |
|
|
