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llama3_finetuned_peft – AI Model by divyahegde07 | AlphaNeural AI
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llama3_finetuned_peft
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.2-3B-Instruct
adapter
llama3.2
us
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llama3_finetuned_peft
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2842
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
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.2971
1.0
1500
0.2842
Framework versions
PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1
