W-61/llama-3-8b-base-sft-ultrachat-8xh200

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llama-3-8b-base-sft-ultrachat-8xh200-20260410-113950

This model is a fine-tuned version of /scratch/feng.yulu/dynamic-dpo-v4/base_models/Meta-Llama-3-8B on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

• —Loss: 1.0705

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: 16
• —evalbatchsize: 16
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 128
• —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
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.51.0
• —Pytorch 2.3.1+cu121
• —Datasets 2.21.0
• —Tokenizers 0.21.4