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mehulshankhapal/
qwen-sft-lora-barbershop-subset75

Name: qwen-sft-lora-barbershop-subset75
Availability: InStock

generated_from_trainer

Qwen/Qwen2.5-VL-3B-Instruct

adapter

other

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qwen-sft-lora-2-75

This model is a fine-tuned version of Qwen/Qwen2.5-VL-3B-Instruct on the barber_shop_dataset dataset. It achieves the following results on the evaluation set:

Loss: 0.0038

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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_steps: 50
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.0706	1.2209	50	0.1304
0.0168	2.4417	100	0.0309
0.0014	3.6626	150	0.0064
0.0004	4.8834	200	0.0038

Framework versions

PEFT 0.15.2
Transformers 4.51.0
Pytorch 2.2.0+cu121
Datasets 3.6.0
Tokenizers 0.21.4

mehulshankhapal/qwen-sft-lora-barbershop-subset75

qwen-sft-lora-2-75

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mehulshankhapal/
qwen-sft-lora-barbershop-subset75