| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: intfloat/multilingual-e5-large-instruct |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: e5_Biodiversite_v2 |
| | 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. --> |
| |
|
| | # e5_Biodiversite_v2 |
| |
|
| | This model is a fine-tuned version of [intfloat/multilingual-e5-large-instruct](https://huggingface.co/intfloat/multilingual-e5-large-instruct) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3241 |
| | - Accuracy: 0.9315 |
| | - F1: 0.9313 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 64 |
| | - 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: 20 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | | 1.8585 | 1.0 | 57 | 1.1899 | 0.7249 | 0.7193 | |
| | | 0.8167 | 2.0 | 114 | 0.2690 | 0.9006 | 0.9000 | |
| | | 0.2562 | 3.0 | 171 | 0.2405 | 0.9160 | 0.9160 | |
| | | 0.1603 | 4.0 | 228 | 0.2849 | 0.9138 | 0.9136 | |
| | | 0.0838 | 5.0 | 285 | 0.2489 | 0.9227 | 0.9223 | |
| | | 0.0574 | 6.0 | 342 | 0.3241 | 0.9315 | 0.9313 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.52.4 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
| |
|
