---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ST1_modernbert-large_hazard-category_V2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ST1_modernbert-large_hazard-category_V2

This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3219
- F1: 0.9424

## 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: 16
- eval_batch_size: 8
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7171        | 1.0   | 286  | 0.3730          | 0.8750 |
| 0.2641        | 2.0   | 572  | 0.3079          | 0.9201 |
| 0.1531        | 3.0   | 858  | 0.2666          | 0.9324 |
| 0.0803        | 4.0   | 1144 | 0.2954          | 0.9392 |
| 0.0353        | 5.0   | 1430 | 0.3219          | 0.9424 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0