---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: ModernBERT-base-ft-financial-news-sentiment-analysis-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ModernBERT-base-ft-financial-news-sentiment-analysis-2

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: 0.1293
- F1 Score: 0.9765
- Precision Score: 0.9765
- Recall Score: 0.9765

## 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: 8e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision Score | Recall Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|
| 0.6927        | 1.0   | 16   | 0.3884          | 0.8449   | 0.8816          | 0.8265       |
| 0.2203        | 2.0   | 32   | 0.2017          | 0.9556   | 0.9558          | 0.9559       |
| 0.0847        | 3.0   | 48   | 0.1663          | 0.9472   | 0.9507          | 0.9471       |
| 0.0273        | 4.0   | 64   | 0.1765          | 0.9705   | 0.9710          | 0.9706       |
| 0.0198        | 5.0   | 80   | 0.1980          | 0.9646   | 0.9653          | 0.9647       |
| 0.0141        | 6.0   | 96   | 0.1396          | 0.9795   | 0.9797          | 0.9794       |
| 0.0087        | 7.0   | 112  | 0.1204          | 0.9674   | 0.9677          | 0.9676       |
| 0.0013        | 8.0   | 128  | 0.1285          | 0.9705   | 0.9704          | 0.9706       |
| 0.0002        | 9.0   | 144  | 0.1274          | 0.9765   | 0.9765          | 0.9765       |
| 0.0002        | 10.0  | 160  | 0.1293          | 0.9765   | 0.9765          | 0.9765       |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0