pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu
084
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griffin-1024-llama3t-8layer-simplewikipediaLM-vN
pretraining experiment on the pszemraj/simplewikipediaLM dataset. It achieves the following results on the evaluation set:
- Loss: 4.3584
- Accuracy: 0.3789
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: 0.0003
- 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 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1