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mehulshankhapal/
qwen-sft-lora-barbershop-1

Name: qwen-sft-lora-barbershop-1
Availability: InStock

generated_from_trainer

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

adapter

other

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qwen-sft-lora-1

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: 0.0325

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
0.1038	0.9132	50	0.0904
0.0376	1.8219	100	0.0589
0.0131	2.7306	150	0.0972
0.0013	3.6393	200	0.0406
0.0001	4.5479	250	0.0331

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-1

qwen-sft-lora-1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mehulshankhapal/
qwen-sft-lora-barbershop-1