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2200-llama-3.2-cde – AI Model by cs6220-ai-gradescope-grader | AlphaNeural AI
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cs6220-ai-gradescope-grader
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2200-llama-3.2-cde
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peft
safetensors
generated_from_trainer
text-generation-inference
text-generation
meta-llama/Llama-3.2-1B
adapter
llama3.2
us
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2200-llama-3.2-cde
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 1.4415
eval_runtime: 1290.6148
eval_samples_per_second: 4.379
eval_steps_per_second: 0.274
epoch: 0.1887
step: 300
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Framework versions
PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3