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Finetune_on_Qwen1.5-0.5B – AI Model by amiguel | AlphaNeural AI
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amiguel
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Finetune_on_Qwen1.5-0.5B
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transformers
safetensors
qwen2
text-generation
generated_from_trainer
conversational
Qwen/Qwen1.5-0.5B
quantized
other
autotrain_compatible
text-generation-inference
endpoints_compatible
4-bit
bitsandbytes
us
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Finetune_on_Qwen1.5-0.5B
This model is a fine-tuned version of
Qwen/Qwen1.5-0.5B
on an unknown 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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
