---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: amh-modernbert-focal-lr-3e-5
  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. -->

# amh-modernbert-focal-lr-3e-5

This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 16.1591
- F1-micro: 0.3433
- F1-macro: 0.3351

## 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: 16
- 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: 70
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 49.7041       | 1.0   | 178  | 17.4982         | 0.2990   | 0.2069   |
| 48.1728       | 2.0   | 356  | 16.9336         | 0.3527   | 0.3190   |
| 45.6227       | 3.0   | 534  | 16.1424         | 0.3509   | 0.3412   |
| 42.7613       | 4.0   | 712  | 16.1591         | 0.3433   | 0.3351   |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0