---
library_name: transformers
license: other
base_model: Qwen/Qwen3-8B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sft__GLM-4-7-swesmith-oracle_verified-complete-lt32k__2-0__Qwen3-8B
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sft__GLM-4-7-swesmith-oracle_verified-complete-lt32k__2-0__Qwen3-8B

This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the /e/data1/datasets/playground/ot-baf/hf_hub/datasets--laion--GLM-4.7-swesmith-oracle_verified-complete-lt32k/snapshots/733ffbcf76c8437ea58ebd5fbe55520db0a0bc64_thinking_preprocessed 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: 4e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- total_train_batch_size: 16
- total_eval_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 2.0

### Training results



### Framework versions

- Transformers 5.8.1
- Pytorch 2.11.0+cu130
- Datasets 4.7.0
- Tokenizers 0.22.2