---
library_name: transformers
license: apache-2.0
base_model: clapAI/modernBERT-base-multilingual-sentiment
tags:
- generated_from_trainer
metrics:
- f1
- precision
- recall
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [clapAI/modernBERT-base-multilingual-sentiment](https://huggingface.co/clapAI/modernBERT-base-multilingual-sentiment) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1349
- F1: 0.8234
- F1 Macro: 0.8227
- F1 Micro: 0.8239
- Precision: 0.8250
- Precision Macro: 0.8257
- Precision Micro: 0.8239
- Recall: 0.8239
- Recall Macro: 0.8218
- Recall Micro: 0.8239

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | F1 Macro | F1 Micro | Precision | Precision Macro | Precision Micro | Recall | Recall Macro | Recall Micro |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:--------:|:---------:|:---------------:|:---------------:|:------:|:------------:|:------------:|
| No log        | 1.0   | 160  | 0.3541          | 0.8522 | 0.8520   | 0.8521   | 0.8536    | 0.8523          | 0.8521          | 0.8521 | 0.8531       | 0.8521       |
| No log        | 2.0   | 320  | 0.6458          | 0.8485 | 0.8480   | 0.8486   | 0.8486    | 0.8486          | 0.8486          | 0.8486 | 0.8477       | 0.8486       |
| No log        | 3.0   | 480  | 1.1349          | 0.8234 | 0.8227   | 0.8239   | 0.8250    | 0.8257          | 0.8239          | 0.8239 | 0.8218       | 0.8239       |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.5.0+cu124
- Datasets 2.16.1
- Tokenizers 0.21.1