---
license: apache-2.0
base_model: Qwen/Qwen2.5-7B
tags:
- generated_from_trainer
model-index:
- name: Qwen2.5-7B-spin-10k
  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. -->

# Qwen2.5-7B-spin-10k

This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1369
- Rewards/real: 7.7762
- Rewards/generated: -2.5293
- Rewards/accuracies: 1.0
- Rewards/margins: 10.3055
- Logps/generated: -265.3735
- Logps/real: -128.1957
- Logits/generated: -0.9822
- Logits/real: -0.7243

## 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-07
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
|:-------------:|:------:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.1463        | 0.6410 | 50   | 0.1369          | 7.7762       | -2.5293           | 1.0                | 10.3055         | -265.3735       | -128.1957  | -0.9822          | -0.7243     |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.2.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1