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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
should probably proofread and complete it, then remove this comment. -->
# 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
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