metadata
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: []
eurobert_agent_queries
This model is a fine-tuned version of 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