README.md.backup

---
library_name: transformers
license: other
base_model: /share/wulijun/caimz/model/base-model/models--Qwen--Qwen3-8B-Base/snapshots/49e3418fbbbca6ecbdf9608b4d22e5a407081db4
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: seed-42
  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. -->

# seed-42

This model is a fine-tuned version of [/share/wulijun/caimz/model/base-model/models--Qwen--Qwen3-8B-Base/snapshots/49e3418fbbbca6ecbdf9608b4d22e5a407081db4](https://huggingface.co//share/wulijun/caimz/model/base-model/models--Qwen--Qwen3-8B-Base/snapshots/49e3418fbbbca6ecbdf9608b4d22e5a407081db4) on the 450k-fail-0-08-answer-am-qwen-correct dataset.

## 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: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 64
- 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: 0.1
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0