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

huggingface.co
Total runs: 21
24-hour runs: 0
7-day runs: -7
30-day runs: -4
Model's Last Updated: December 29 2025
text-generation

Introduction of griffin-v0.01-c3t-8layer-simplewiki

Model Details of griffin-v0.01-c3t-8layer-simplewiki

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
Training Loss Epoch Step Validation Loss Accuracy
13.2525 0.2548 100 11.9768 0.0131
8.8873 0.5095 200 8.0127 0.0357
7.2457 0.7643 300 6.4508 0.0512
6.3152 1.0190 400 5.6163 0.0460
5.5586 1.2738 500 4.7645 0.3650
5.2936 1.5285 600 4.3919 0.3934
4.8839 1.7833 700 4.1928 0.4084
Framework versions
  • Transformers 4.40.1
  • Pytorch 2.2.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1

Runs of pszemraj griffin-v0.01-c3t-8layer-simplewiki on huggingface.co

21
Total runs
0
24-hour runs
-4
3-day runs
-7
7-day runs
-4
30-day runs

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