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BS-riche-Qwen2.5-lora – AI Model by tessilab | AlphaNeural AI
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tessilab
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BS-riche-Qwen2.5-lora
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen2.5-VL-7B-Instruct
adapter
other
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BS-riche-Qwen2.5-lora
This model is a fine-tuned version of
Qwen/Qwen2.5-VL-7B-Instruct
on the BsKIE3 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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 3.0
Training results
Framework versions
PEFT 0.12.0
Transformers 4.49.0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.21.0
