ondevicellm/tinyllama_mole_sft_router05_lr1e-4_ep3

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tinyllamamolesftrouter05lr1e-4_ep3

This model is a fine-tuned version of ondevicellm/tinyllama_mole_v1 on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

• —Loss: 2.1035

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: 0.0001
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 32
• —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