---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: ModernBERT-base-ft-fineweb-multilingual-sentiment-es-2k
  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-fineweb-multilingual-sentiment-es-2k

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: 0.5953
- F1 Score: 0.7774
- Precision Score: 0.7782
- Recall Score: 0.7766

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision Score | Recall Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|
| 0.5755        | 1.0   | 1395 | 0.5156          | 0.7838   | 0.7912          | 0.7779       |
| 0.4617        | 2.0   | 2790 | 0.5123          | 0.7823   | 0.7826          | 0.7820       |
| 0.3318        | 3.0   | 4185 | 0.5953          | 0.7774   | 0.7782          | 0.7766       |


### Framework versions

- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0