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PracticalWork/
Llama-3.2-1B-Instruct-tuned

Name: Llama-3.2-1B-Instruct-tuned
Availability: InStock

meta-llama/Llama-3.2-1B-Instruct

llama3.2

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Llama-3.2-1B-Instruct-tuned

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: 1.5964
Perplexity: 4.9351

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.003
train_batch_size: 12
eval_batch_size: 12
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
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Perplexity
No log	0	0	4.5699	96.5354
No log	0.6011	333	1.7253	5.6141
1.8003	1.2022	666	1.6644	5.2825
1.8003	1.8032	999	1.6342	5.1252
1.6299	2.4043	1332	1.6094	5.0000
1.6299	3	1664	1.5964	4.9351

Framework versions

PEFT 0.16.0
Transformers 4.54.1
Pytorch 2.7.1+cu128
Datasets 4.0.0
Tokenizers 0.21.4

PracticalWork/Llama-3.2-1B-Instruct-tuned