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qwen-ragtruth – AI Model by Ogamon | AlphaNeural AI
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Ogamon
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qwen-ragtruth
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-7B-Instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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train_2025-02-07-00-42-22_qwen
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on the train_hal_detection_1125 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-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 2
total_eval_batch_size: 16
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_steps: 10
num_epochs: 3.0
Training results
Framework versions
Transformers 4.48.2
Pytorch 2.3.0a0+ebedce2
Datasets 3.2.0
Tokenizers 0.21.0
