FleetAI/fleet-sft-difficult-envs-median-Qwen3-32B-2

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fleet-sft-full

This model is a fine-tuned version of Qwen/Qwen3-32B on the fleettrajectoriestrain dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6703

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: 1e-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 8
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 2.0

Training results

Framework versions

• —Transformers 4.52.4
• —Pytorch 2.10.0+cu128
• —Datasets 3.6.0
• —Tokenizers 0.21.1