|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: answerdotai/ModernBERT-base |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- f1 |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: category-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. --> |
|
|
|
|
|
# category-classifier |
|
|
|
|
|
This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.7933 |
|
|
- F1: 0.7172 |
|
|
- Accuracy: 0.7212 |
|
|
- F1 Ai: 0.6154 |
|
|
- F1 Programming: 0.6715 |
|
|
- F1 Science & engineering: 0.6393 |
|
|
- F1 Tech: 0.4259 |
|
|
- F1 Rejected: 0.8158 |
|
|
|
|
|
## 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: 5e-05 |
|
|
- train_batch_size: 10 |
|
|
- eval_batch_size: 5 |
|
|
- 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 |
|
|
- num_epochs: 3 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | F1 Ai | F1 Programming | F1 Science & engineering | F1 Tech | F1 Rejected | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:------:|:--------------:|:------------------------:|:-------:|:-----------:| |
|
|
| 0.587 | 1.0 | 1881 | 0.6882 | 0.7150 | 0.7167 | 0.6565 | 0.6787 | 0.6900 | 0.4046 | 0.7984 | |
|
|
| 0.3324 | 2.0 | 3762 | 0.7463 | 0.7237 | 0.7293 | 0.6492 | 0.6987 | 0.6517 | 0.4044 | 0.8179 | |
|
|
| 0.1291 | 3.0 | 5643 | 1.7933 | 0.7172 | 0.7212 | 0.6154 | 0.6715 | 0.6393 | 0.4259 | 0.8158 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.48.0.dev0 |
|
|
- Pytorch 2.2.2 |
|
|
- Datasets 3.1.0 |
|
|
- Tokenizers 0.21.0 |
|
|
|
