EndLessTime
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ytsum_llama3.2

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ytsum_llama3.2

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset.

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: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
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
training_steps: 1

Training results

Framework versions

PEFT 0.7.2.dev0
Transformers 4.48.0.dev0
Pytorch 2.1.1+cu118
Datasets 2.16.0
Tokenizers 0.21.0

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Base model

meta-llama/Llama-3.2-1B

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Dataset used to train EndLessTime/ytsum_llama3.2