---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ModernBERT-base-zeroshot-v2.0-2024-12-28-09-01
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ModernBERT-base-zeroshot-v2.0-2024-12-28-09-01

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: 0.1856
- F1 Macro: 0.6373
- F1 Micro: 0.7076
- Accuracy Balanced: 0.6761
- Accuracy: 0.7076
- Precision Macro: 0.6700
- Recall Macro: 0.6761
- Precision Micro: 0.7076
- Recall Micro: 0.7076

## 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: 128
- seed: 42
- 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
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1 Macro | F1 Micro | Accuracy Balanced | Accuracy | Precision Macro | Recall Macro | Precision Micro | Recall Micro |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:|
| 0.2321        | 1.0   | 33915 | 0.3726          | 0.8316   | 0.8458   | 0.8332            | 0.8458   | 0.8301          | 0.8332       | 0.8458          | 0.8458       |
| 0.1305        | 2.0   | 67830 | 0.4350          | 0.8396   | 0.8541   | 0.8389            | 0.8541   | 0.8403          | 0.8389       | 0.8541          | 0.8541       |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0