---
library_name: transformers
license: other
base_model: Qwen2.5-32B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: Qwen2.5-32B-Instruct-critic_lean_mix_48k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Qwen2.5-32B-Instruct-critic_lean_mix_48k

This model is a fine-tuned version of [Qwen2.5-32B-Instruct](https://huggingface.co/Qwen2.5-32B-Instruct) on the critic_lean_mix_48k dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2674

## 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-06
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 743  | 0.2554          |
| 0.2863        | 2.0   | 1486 | 0.2506          |
| 0.1776        | 3.0   | 2229 | 0.2674          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.2.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1