| --- |
| library_name: transformers |
| license: mit |
| base_model: intfloat/multilingual-e5-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: multilingual-e5-base-router-pt |
| 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. --> |
|
|
| # multilingual-e5-base-router-pt |
|
|
| This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0634 |
| - F1: 0.9917 |
|
|
| ## 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-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.0591 | 1.0 | 957 | 0.0475 | 0.9891 | |
| | 0.0364 | 2.0 | 1914 | 0.0522 | 0.9891 | |
| | 0.0123 | 3.0 | 2871 | 0.0599 | 0.9913 | |
| | 0.0052 | 4.0 | 3828 | 0.0662 | 0.9913 | |
| | 0.0001 | 5.0 | 4785 | 0.0634 | 0.9917 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.48.0.dev0 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.21.0 |
| |
