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Qwen1.5-0.5B-lora-finetuned-data-licensing – AI Model by AshikAi96 | AlphaNeural AI
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Qwen1.5-0.5B-lora-finetuned-data-licensing
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Qwen1.5-0.5B-lora-finetuned-data-licensing
This model is a fine-tuned version of
Qwen/Qwen1.5-0.5B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2437
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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_ratio: 0.03
training_steps: 200
Training results
Training Loss
Epoch
Step
Validation Loss
1.3324
1.6281
50
1.3332
1.0768
3.2314
100
1.2484
0.954
4.8595
150
1.2435
0.8547
6.4628
200
1.2437
Framework versions
PEFT 0.15.2
Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
