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GM_Qwen1.8B_Finetune – AI Model by amiguel | AlphaNeural AI
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amiguel
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GM_Qwen1.8B_Finetune
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transformers
safetensors
qwen2
text-generation
generated_from_trainer
conversational
Qwen/Qwen1.5-1.8B-Chat
quantized
other
autotrain_compatible
text-generation-inference
endpoints_compatible
4-bit
bitsandbytes
us
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GM_Qwen1.8B_Finetune
This model is a fine-tuned version of
Qwen/Qwen1.5-1.8B-Chat
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: 5e-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: 2
Training results
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.5.1
Tokenizers 0.21.0
