metadata
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: []
cross_encoder_ft
This model is a fine-tuned version of 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