---
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-0.5B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: reranker_binary_filt_train
  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. -->

# reranker_binary_filt_train

This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the reranker_binary_filt_train dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0526

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.0517        | 0.1000 | 1937  | 0.0871          |
| 0.114         | 0.2001 | 3874  | 0.0835          |
| 0.1033        | 0.3001 | 5811  | 0.0735          |
| 0.0544        | 0.4001 | 7748  | 0.0663          |
| 0.1169        | 0.5001 | 9685  | 0.0623          |
| 0.05          | 0.6002 | 11622 | 0.0599          |
| 0.0951        | 0.7002 | 13559 | 0.0566          |
| 0.0497        | 0.8002 | 15496 | 0.0551          |
| 0.1002        | 0.9002 | 17433 | 0.0532          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3