ondevicellm/qwen_1_8B_llamafied

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qwen18B_llamafied

This model is a fine-tuned version of KnutJaegersberg/Qwen-1_8B-Llamafied on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

• —Loss: 1.2486

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: 2e-05
• —trainbatchsize: 12
• —evalbatchsize: 4
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 96
• —totalevalbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 120
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.37.0
• —Pytorch 2.1.2+cu118
• —Datasets 2.16.1
• —Tokenizers 0.15.0