---
library_name: transformers
license: apache-2.0
base_model: EuroBERT/EuroBERT-210m
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: eurobert_agent_queries
  results: []
---

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

This model is a fine-tuned version of [EuroBERT/EuroBERT-210m](https://huggingface.co/EuroBERT/EuroBERT-210m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1424
- Accuracy: 0.9445
- Precision: 0.9375
- Recall: 0.9529
- F1: 0.9452

## 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: 3.6e-05
- train_batch_size: 25
- eval_batch_size: 25
- 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: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.3306        | 0.2470 | 500  | 0.3166          | 0.8792   | 0.9020    | 0.8521 | 0.8763 |
| 0.2332        | 0.4941 | 1000 | 0.2144          | 0.9104   | 0.94      | 0.8775 | 0.9077 |
| 0.1929        | 0.7411 | 1500 | 0.1793          | 0.9291   | 0.9410    | 0.9164 | 0.9285 |
| 0.1643        | 0.9881 | 2000 | 0.1424          | 0.9445   | 0.9375    | 0.9529 | 0.9452 |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.4.1+cu124
- Datasets 3.6.0
- Tokenizers 0.22.0