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colqwen2-v1.0-classify-v1.1 – AI Model by duongntd2 | AlphaNeural AI

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duongntd2/
colqwen2-v1.0-classify-v1.1

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vidore/colqwen2-base

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colqwen2-v1.0-classify-v1.1

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: 2

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