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Qwen2.5-1.5B-cot-opkd – AI Model by zjotero | AlphaNeural AI
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zjotero
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Qwen2.5-1.5B-cot-opkd
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transformers
safetensors
qwen2
text-generation
generated_from_trainer
conversational
zjotero/Qwen2.5-1.5B-Base
finetune
text-generation-inference
endpoints_compatible
us
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opkd_cot
This model is a fine-tuned version of
zjotero/Qwen2.5-1.5B-Base
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: 1
eval_batch_size: 8
seed: 92
distributed_type: multi-GPU
num_devices: 3
gradient_accumulation_steps: 2
total_train_batch_size: 6
total_eval_batch_size: 24
optimizer: Use 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: 0.1
num_epochs: 3
Framework versions
Transformers 4.57.1
Pytorch 2.7.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1
