cocoshe/Toys_and_Games-qwen2.5-1.5b-sft-dsz2

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ToysandGames-sft-dsz2

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the ToysandGames_train dataset. It achieves the following results on the evaluation set:

• —Loss: 1.6175

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: 0.0003
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 2048
• —totalevalbatch_size: 256
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 20
• —num_epochs: 10.0

Training results

Framework versions

• —Transformers 4.57.1
• —Pytorch 2.8.0+cu128
• —Datasets 4.0.0
• —Tokenizers 0.22.2