|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: answerdotai/modernbert-base |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- accuracy |
|
|
- f1 |
|
|
model-index: |
|
|
- name: modernbert_web3_classification |
|
|
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. --> |
|
|
|
|
|
# modernbert_web3_classification |
|
|
|
|
|
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: 1.9429 |
|
|
- Accuracy: 0.6923 |
|
|
- F1: 0.6711 |
|
|
|
|
|
## 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: 32 |
|
|
- eval_batch_size: 64 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 2 |
|
|
- total_train_batch_size: 64 |
|
|
- optimizer: Use 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: 20 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
|
|
| 3.2458 | 1.0 | 643 | 1.4201 | 0.5509 | 0.5134 | |
|
|
| 2.5825 | 2.0 | 1286 | 1.3174 | 0.5828 | 0.5521 | |
|
|
| 2.0999 | 3.0 | 1929 | 1.3183 | 0.6240 | 0.6020 | |
|
|
| 0.7625 | 4.0 | 2572 | 1.3098 | 0.6816 | 0.6592 | |
|
|
| 0.333 | 5.0 | 3215 | 1.4979 | 0.6760 | 0.6509 | |
|
|
| 0.1715 | 6.0 | 3858 | 1.5728 | 0.6915 | 0.6769 | |
|
|
| 0.0617 | 7.0 | 4501 | 1.7623 | 0.6906 | 0.6713 | |
|
|
| 0.041 | 8.0 | 5144 | 1.9429 | 0.6923 | 0.6711 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.50.3 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Datasets 3.5.0 |
|
|
- Tokenizers 0.21.1 |
|
|
|
