W-61/b200-l3-ultra-conf-lsc-s42-v1-a2

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b200-l3-ultra-conf-lsc-s42-v1-a2

This model is a fine-tuned version of W-61/llama-3-8b-base-sft-ultrachat-8xh200 on an unknown dataset.

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: 5e-07
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —training_steps: 477

Training results

Framework versions

• —Transformers 4.51.0
• —Pytorch 2.7.1+cu128
• —Datasets 2.21.0
• —Tokenizers 0.21.4