jkazdan/noice_bias_50_constrained
07
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noicebias50_constrained
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown 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: 2e-05
- trainbatchsize: 4
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_ratio: 0.05
- num_epochs: 1
Training results
Framework versions
- Transformers 4.40.2
- Pytorch 2.8.0+cu128
- Datasets 4.4.1
- Tokenizers 0.19.1