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---
license: apache-2.0
base_model: cross-encoder/ms-marco-MiniLM-L-6-v2
tags:
- generated_from_trainer
model-index:
- name: crossencoder-marco-MiniLM-L-6-v2-refine
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. -->
# crossencoder-marco-MiniLM-L-6-v2-refine
This model is a fine-tuned version of [cross-encoder/ms-marco-MiniLM-L-6-v2](https://huggingface.co/cross-encoder/ms-marco-MiniLM-L-6-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0504
## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 58.7177 | 1.0 | 63 | 37.5426 |
| 0.6125 | 2.0 | 126 | 0.4536 |
| 0.1224 | 3.0 | 189 | 0.0591 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.15.1
|