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llama-3.2-fictional-laws – AI Model by moizsiddiqui1296 | AlphaNeural AI
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llama-3.2-fictional-laws
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
meta-llama/Llama-3.2-3B-Instruct
llama3.2
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llama-3.2-fictional-laws
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.6880
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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.0370
1.0
3
3.9463
3.7036
2.0
6
3.7754
3.6863
3.0
9
3.6880
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
