---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ModernBERT-climateguard-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. -->

# ModernBERT-climateguard-classifier

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: 2.9712
- F1: 0.4265

## 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: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: reduce_lr_on_plateau
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1     |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 2.9496        | 1.0    | 55   | 1.2188          | 0.0510 |
| 2.3895        | 2.0    | 110  | 1.0777          | 0.2178 |
| 2.175         | 3.0    | 165  | 1.0677          | 0.3023 |
| 2.036         | 4.0    | 220  | 1.2581          | 0.2645 |
| 2.2208        | 5.0    | 275  | 1.2512          | 0.2645 |
| 2.101         | 6.0    | 330  | 1.1729          | 0.2645 |
| 2.0418        | 7.0    | 385  | 1.0473          | 0.3683 |
| 2.0045        | 8.0    | 440  | 2.6295          | 0.3463 |
| 1.91          | 9.0    | 495  | 2.7718          | 0.4414 |
| 1.5272        | 9.8257 | 540  | 2.9712          | 0.4265 |


### Framework versions

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