deqing/llama-150M-20260205-original

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llama-150M-20260205-original

This model is a fine-tuned version of llama_small_config.json on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 4.8044

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: 16
• —seed: 42
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 512
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.53.3
• —Pytorch 2.6.0+cu126
• —Datasets 3.5.0
• —Tokenizers 0.21.1