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sizhkhy/
llama-3.2-3B-lora-dummy-32

Name: llama-3.2-3B-lora-dummy-32
Availability: InStock

generated_from_trainer

unsloth/Llama-3.2-3B-Instruct

adapter

other

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llama-3.2-3B-lora-dummy-32

This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the gommt-oneshot-train dataset. It achieves the following results on the evaluation set:

Loss: 0.0298

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.0452	0.16	5	0.0434
0.0349	0.32	10	0.0370
0.031	0.48	15	0.0330
0.0258	0.64	20	0.0311
0.0277	0.8	25	0.0300
0.0261	0.96	30	0.0298

Framework versions

PEFT 0.12.0
Transformers 4.46.1
Pytorch 2.4.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3

sizhkhy/llama-3.2-3B-lora-dummy-32

llama-3.2-3B-lora-dummy-32

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sizhkhy/
llama-3.2-3B-lora-dummy-32