0.8
This model is a fine-tuned version of wisenut-nlp-team/wisenut-llama-3-8B-0.8-Instruct on the data_recipe_v3 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.44.1
- Pytorch 2.2.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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