laion/exp_tas_optimal_combined_traces-Qwen3.5-9B

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sft_exptasoptimalcombinedtraces_Qwen3.5-9B

This model is a fine-tuned version of Qwen/Qwen3.5-9B on the /e/data1/datasets/playground/ot/hfhub/datasets--DCAgent--exptasoptimalcombinedtraces/snapshots/ebbeebd254227e227eae6f6f3f25dd76407c5d1cthinking_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
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 16
• —gradientaccumulationsteps: 6
• —totaltrainbatch_size: 96
• —totalevalbatch_size: 128
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.1
• —num_epochs: 7.0

Training results

Framework versions

• —Transformers 5.3.0
• —Pytorch 2.9.1+cu130
• —Datasets 4.4.1
• —Tokenizers 0.22.2