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llama-3.2-1b-sample – AI Model by gahyunlee | AlphaNeural AI
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llama-3.2-1b-sample
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peft
safetensors
generated_from_trainer
meta-llama/Llama-3.2-1B-Instruct
adapter
llama3.2
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llama-3.2-1b-sample
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3083
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: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.3951
1.0
700
0.3813
0.3449
2.0
1400
0.3200
0.3134
3.0
2100
0.3083
Framework versions
PEFT 0.13.2
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
