| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: cross-encoder/ms-marco-MiniLM-L12-v2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: cross_encoder_ft |
| 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. --> |
|
|
| # cross_encoder_ft |
|
|
| This model is a fine-tuned version of [cross-encoder/ms-marco-MiniLM-L12-v2](https://huggingface.co/cross-encoder/ms-marco-MiniLM-L12-v2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2213 |
|
|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - optimizer: Use OptimizerNames.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: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.8406 | 0.2983 | 1000 | 0.2205 | |
| | 0.4520 | 0.5966 | 2000 | 0.2217 | |
| | 0.4483 | 0.8949 | 3000 | 0.2229 | |
| | 0.4483 | 1.0 | 3353 | 0.2213 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 5.13.1 |
| - Pytorch 2.11.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
