| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: intfloat/multilingual-e5-large-instruct |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: e5_Dechets_MultiLabel_07082025 |
| | 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_Dechets_MultiLabel_07082025 |
| | |
| | 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: 0.2103 |
| | - F1 Weighted: 0.9299 |
| | |
| | ## 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: 5e-06 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 32 |
| | - 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 |
| | - num_epochs: 15 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | F1 Weighted | |
| | |:-------------:|:-----:|:----:|:---------------:|:-----------:| |
| | | 0.9037 | 1.0 | 180 | 0.5881 | 0.7452 | |
| | | 0.5128 | 2.0 | 360 | 0.3669 | 0.8503 | |
| | | 0.3466 | 3.0 | 540 | 0.3095 | 0.8792 | |
| | | 0.2719 | 4.0 | 720 | 0.2777 | 0.8974 | |
| | | 0.2186 | 5.0 | 900 | 0.2298 | 0.9143 | |
| | | 0.1839 | 6.0 | 1080 | 0.2198 | 0.9188 | |
| | | 0.1587 | 7.0 | 1260 | 0.2159 | 0.9219 | |
| | | 0.1343 | 8.0 | 1440 | 0.2041 | 0.9278 | |
| | | 0.117 | 9.0 | 1620 | 0.2101 | 0.9261 | |
| | | 0.1037 | 10.0 | 1800 | 0.1985 | 0.9273 | |
| | | 0.095 | 11.0 | 1980 | 0.2103 | 0.9299 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.54.1 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.21.4 |
| |
|
