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colqwen2-v1.0-classify-v1.2 – AI Model by duongntd2 | AlphaNeural AI | AlphaNeural AI
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colqwen2-v1.0-classify-v1.2
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peft
safetensors
generated_from_trainer
vidore/colqwen2-base
adapter
apache-2.0
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colqwen2-v1.0-classify-v1.2
This model is a fine-tuned version of
vidore/colqwen2-base
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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 1
Training results
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.6.0+cu124
Datasets 3.4.0
Tokenizers 0.21.1
