pszemraj/griffin-v0.01-c3t-8layer-simplewiki

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pszemraj/griffin-v0.01-c3t-8layer-simplewiki

• —griffin/recurrent_gemma arch
• —claude3 tokenizer (as an HF gpt2 tokenizer)

Model description

This model is a fine-tuned version of ./griffin-1024-c3t-8layer on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 4.1928
• —Accuracy: 0.4084

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: 0.0003
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 80085
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 128
• —optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
• —lrschedulertype: constantwithwarmup
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 2.0

Training results

Framework versions

• —Transformers 4.40.1
• —Pytorch 2.2.0+cu121
• —Datasets 2.19.0
• —Tokenizers 0.19.1