| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: intfloat/multilingual-e5-large-instruct |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: e5_Mobilite_MultiLabel_12082025 |
| | 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_Mobilite_MultiLabel_12082025 |
| | |
| | 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: 0.0934 |
| | - F1 Weighted: 0.9708 |
| | |
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:-----------:| |
| | | 0.9493 | 1.0 | 205 | 0.5328 | 0.7827 | |
| | | 0.4552 | 2.0 | 410 | 0.2622 | 0.8897 | |
| | | 0.2754 | 3.0 | 615 | 0.1951 | 0.9142 | |
| | | 0.1966 | 4.0 | 820 | 0.1443 | 0.9431 | |
| | | 0.1493 | 5.0 | 1025 | 0.1290 | 0.9526 | |
| | | 0.1232 | 6.0 | 1230 | 0.1046 | 0.9629 | |
| | | 0.1039 | 7.0 | 1435 | 0.0977 | 0.9667 | |
| | | 0.0875 | 8.0 | 1640 | 0.1080 | 0.9597 | |
| | | 0.0782 | 9.0 | 1845 | 0.0934 | 0.9708 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.55.0 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.21.4 |
| |
|
