metadata

library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
  - generated_from_trainer
model-index:
  - name: cs2200-llama-3.2-instruct-cde
    results: []

cs2200-llama-3.2-instruct-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: 0.3478
eval_runtime: 429.6064
eval_samples_per_second: 13.156
eval_steps_per_second: 3.289
epoch: 0.1415
step: 450

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
gradient_accumulation_steps: 4
total_train_batch_size: 16
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