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qwen3-4b-banking-qlora-v1-seed7 – AI Model by flaviovicentinilhp2025 | AlphaNeural AI
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flaviovicentinilhp2025
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qwen3-4b-banking-qlora-v1-seed7
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peft
safetensors
generated_from_trainer
Qwen/Qwen3-4B-Instruct-2507
adapter
apache-2.0
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qwen3-4b-banking-qlora-v1-seed7
This model is a fine-tuned version of
Qwen/Qwen3-4B-Instruct-2507
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0001
Model Preparation Time: 0.0062
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: 0.00015
train_batch_size: 1
eval_batch_size: 1
seed: 7
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 0.05
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
0.0013
1.0
50
0.0006
0.0062
0.0002
2.0
100
0.0001
0.0062
0.0001
3.0
150
0.0001
0.0062
Framework versions
PEFT 0.15.1
Transformers 4.51.3
Pytorch 2.5.1+cu121
Datasets 3.5.0
Tokenizers 0.21.1
