laion/exp_rpt_stack-csharp_10k_glm_4-7_traces_jupiter__Qwen3-8B

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sft_exprptstack-csharp10kglm4-7tracesjupiter__Qwen3-8B

This model is a fine-tuned version of Qwen/Qwen3-8B on the /e/data1/datasets/playground/ot/hfhub/datasets--DCAgent--exprptstack-csharp10kglm4.7tracesjupiter/snapshots/64d34090e91f43b51345645bd11e79ec107a2a60thinkingpreprocessed 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
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 32
• —gradientaccumulationsteps: 3
• —totaltrainbatch_size: 96
• —totalevalbatch_size: 256
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 7.0

Training results

Framework versions

• —Transformers 4.57.6
• —Pytorch 2.9.1+cu130
• —Datasets 4.4.1
• —Tokenizers 0.22.2