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Llama-3.2-1B-Instruct_1ep_lora_v0 – AI Model by sem-seis-akcit | AlphaNeural AI
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sem-seis-akcit
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Llama-3.2-1B-Instruct_1ep_lora_v0
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
meta-llama/Llama-3.2-1B-Instruct
llama3.2
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Llama-3.2-1B-Instruct_1ep_lora_v0
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0172
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: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 8
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: linear
lr_scheduler_warmup_steps: 20
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.0046
1.0
388
0.0172
Framework versions
PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.4.0
Datasets 4.4.1
Tokenizers 0.22.1
