Grogros-Llama-3.2-1B-Instruct-IFP-WOHealth
This model is a fine-tuned version of Grogros/Llama-3.2-1B-Instruct-IFP on an unknown dataset.
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2500
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1.post303
- Datasets 3.2.0
- Tokenizers 0.21.1
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Model tree for Grogros/Grogros-Llama-3.2-1B-Instruct-IFP-WOHealth
Base model
Grogros/Llama-3.2-1B-Instruct-IFP