|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: answerdotai/ModernBERT-base |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- f1 |
|
|
model-index: |
|
|
- name: fold_2 |
|
|
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. --> |
|
|
|
|
|
# fold_2 |
|
|
|
|
|
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: 1.1221 |
|
|
- F1: 0.8632 |
|
|
|
|
|
## 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: 32 |
|
|
- eval_batch_size: 16 |
|
|
- 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: 10 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
|
| 0.4106 | 1.0 | 300 | 0.3857 | 0.8353 | |
|
|
| 0.2705 | 2.0 | 600 | 0.3586 | 0.8615 | |
|
|
| 0.1633 | 3.0 | 900 | 0.4721 | 0.8439 | |
|
|
| 0.0804 | 4.0 | 1200 | 0.5829 | 0.8503 | |
|
|
| 0.052 | 5.0 | 1500 | 0.7545 | 0.8536 | |
|
|
| 0.0245 | 6.0 | 1800 | 1.0105 | 0.8581 | |
|
|
| 0.0119 | 7.0 | 2100 | 0.9987 | 0.8609 | |
|
|
| 0.006 | 8.0 | 2400 | 1.1393 | 0.8603 | |
|
|
| 0.0041 | 9.0 | 2700 | 1.1023 | 0.8644 | |
|
|
| 0.0015 | 10.0 | 3000 | 1.1221 | 0.8632 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.48.0.dev0 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Datasets 3.1.0 |
|
|
- Tokenizers 0.21.0 |
|
|
|
