---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: valueeval24-modern-bert-cos-initialfreeze-diff-lr
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# valueeval24-modern-bert-cos-initialfreeze-diff-lr

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: 0.7684
- F1: 0.2039
- Roc Auc: 0.5705
- Accuracy: 0.1033

## 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: 8
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
| 0.0167        | 1.0   | 3115  | 0.2207          | 0.2035 | 0.5691  | 0.1071   |
| 0.0138        | 2.0   | 6230  | 0.2613          | 0.2091 | 0.5730  | 0.1083   |
| 0.0102        | 3.0   | 9345  | 0.3444          | 0.2249 | 0.5841  | 0.1147   |
| 0.0073        | 4.0   | 12460 | 0.6223          | 0.1944 | 0.5654  | 0.0991   |
| 0.0053        | 5.0   | 15575 | 0.6920          | 0.1973 | 0.5668  | 0.1004   |
| 0.0022        | 6.0   | 18690 | 0.7143          | 0.1983 | 0.5680  | 0.0996   |
| 0.0012        | 7.0   | 21805 | 0.7309          | 0.1968 | 0.5672  | 0.0993   |
| 0.0007        | 8.0   | 24920 | 0.7349          | 0.2035 | 0.5706  | 0.1031   |
| 0.0006        | 9.0   | 28035 | 0.7521          | 0.2064 | 0.5718  | 0.1070   |
| 0.0003        | 10.0  | 31150 | 0.7684          | 0.2039 | 0.5705  | 0.1033   |


### Framework versions

- Transformers 4.53.1
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2