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Qwen2-7B-Instruct-TRAINCodeAlpaca – AI Model by Grogros | AlphaNeural AI
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Grogros
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Qwen2-7B-Instruct-TRAINCodeAlpaca
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transformers
tensorboard
safetensors
qwen2
text-generation
generated_from_trainer
conversational
Qwen/Qwen2-7B-Instruct
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Qwen2-7B-Instruct-TRAINCodeAlpaca
This model is a fine-tuned version of
Qwen/Qwen2-7B-Instruct
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 2000
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.5.1
Tokenizers 0.21.1
