---
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-0.5B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: reranker_continuous_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_continuous_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_continuous_train dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3195

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4242        | 0.1   | 2156  | 0.3844          |
| 0.236         | 0.2   | 4312  | 0.3643          |
| 0.6602        | 0.3   | 6468  | 0.3521          |
| 0.3464        | 0.4   | 8624  | 0.3472          |
| 0.3598        | 0.5   | 10780 | 0.3412          |
| 0.3377        | 0.6   | 12936 | 0.3341          |
| 0.4547        | 0.7   | 15092 | 0.3258          |
| 0.2282        | 0.8   | 17248 | 0.3228          |
| 0.2692        | 0.9   | 19404 | 0.3195          |
| 0.2059        | 1.0   | 21560 | 0.3195          |


### Framework versions

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