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
• train_batch_size: 4
• eval_batch_size: 4
• seed: 80085
• gradient_accumulation_steps: 32
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_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