kykim0/pythia-410m-tulu-v2-mix

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pythia-410m-tulu-v2-mix

This model is a fine-tuned version of EleutherAI/pythia-410m on the allenai/tulu-v2-sft-mixture dataset. It achieves the following results on the evaluation set:

• —Loss: 1.2142

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: 0.0002
• —trainbatchsize: 16
• —evalbatchsize: 2
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 4
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.1.2+cu121
• —Datasets 2.14.6
• —Tokenizers 0.19.1