ShantanuT01/fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-RedditWritingPrompts-validation

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fine-tuned-Llama-3.2-1B-Instruct-apollo-mini-RedditWritingPrompts-validation

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the None 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: 0.0001
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Use apolloadamw with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=proj=random,rank=1,scale=128.0,scaletype=tensor,updateproj_gap=200
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 45
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.52.0.dev0
• —Pytorch 2.6.0
• —Datasets 3.6.0
• —Tokenizers 0.21.1