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db2-qwen14b-next-v017-lora – AI Model by arpdevgroup | AlphaNeural AI
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arpdevgroup
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db2-qwen14b-next-v017-lora
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peft
safetensors
generated_from_trainer
Qwen/Qwen2.5-14B-Instruct
adapter
apache-2.0
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db2-qwen14b-next-v017-lora
This model is a fine-tuned version of
Qwen/Qwen2.5-14B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1416
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: 3e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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: 7
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
2.236
0.3172
25
2.1044
1.7
0.6344
50
1.5967
1.3488
0.9516
75
1.2718
1.1836
1.2688
100
1.1851
1.1498
1.5860
125
1.1501
1.103
1.9033
150
1.1416
Framework versions
PEFT 0.13.0
Transformers 4.46.0
Pytorch 2.5.0+cu124
Datasets 4.8.5
Tokenizers 0.20.3
