Llama-3.3-70B-Instruct-v2-3d-4M-400K-0.1-reverse-padzero-99-128D-1L-2H-512I
This model is a fine-tuned version of meta-llama/Llama-3.3-70B-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: 0.001
- train_batch_size: 128
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.1
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Model tree for arithmetic-circuit-overloading/Llama-3.3-70B-Instruct-v2-3d-4M-400K-0.1-reverse-padzero-99-128D-1L-2H-512I
Base model
meta-llama/Llama-3.1-70B Finetuned
meta-llama/Llama-3.3-70B-Instruct