|
|
--- |
|
|
library_name: transformers |
|
|
license: mit |
|
|
base_model: emanjavacas/GysBERT |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- precision |
|
|
- recall |
|
|
- f1 |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: ArjanvD95/animals_manually_curated |
|
|
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. --> |
|
|
|
|
|
# ArjanvD95/animals_manually_curated |
|
|
|
|
|
This model is a fine-tuned version of [emanjavacas/GysBERT](https://huggingface.co/emanjavacas/GysBERT) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.0337 |
|
|
- Precision: 0.7869 |
|
|
- Recall: 0.7912 |
|
|
- F1: 0.7890 |
|
|
- Accuracy: 0.9921 |
|
|
|
|
|
## 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: 8 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_steps: 5 |
|
|
- num_epochs: 10 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
|
|
| 0.0162 | 1.0 | 152 | 0.0321 | 0.7031 | 0.7418 | 0.7219 | 0.9886 | |
|
|
| 0.0132 | 2.0 | 304 | 0.0275 | 0.7278 | 0.7198 | 0.7238 | 0.9900 | |
|
|
| 0.001 | 3.0 | 456 | 0.0478 | 0.7985 | 0.5879 | 0.6772 | 0.9870 | |
|
|
| 0.0015 | 4.0 | 608 | 0.0325 | 0.8095 | 0.7473 | 0.7771 | 0.9906 | |
|
|
| 0.0077 | 5.0 | 760 | 0.0337 | 0.7869 | 0.7912 | 0.7890 | 0.9921 | |
|
|
| 0.0003 | 6.0 | 912 | 0.0510 | 0.8621 | 0.6868 | 0.7645 | 0.9900 | |
|
|
| 0.0001 | 7.0 | 1064 | 0.0517 | 0.8435 | 0.6813 | 0.7538 | 0.9899 | |
|
|
| 0.0001 | 8.0 | 1216 | 0.0553 | 0.8690 | 0.6923 | 0.7706 | 0.9900 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.51.3 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Tokenizers 0.21.1 |
|
|
|
