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Qwen2-7B-OurInstruct – AI Model by Grogros | AlphaNeural AI
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Grogros
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Qwen2-7B-OurInstruct
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transformers
safetensors
qwen2
text-generation
generated_from_trainer
conversational
Qwen/Qwen2-7B
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Qwen2-7B-ceCode-OurInstruct
This model is a fine-tuned version of
Qwen/Qwen2-7B
on the None 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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Use adafactor and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 2000
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.2.0a0+81ea7a4
Datasets 3.5.0
Tokenizers 0.21.1
