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GLM-OCR-finetuned-all-layers – AI Model by NafisAshraf | AlphaNeural AI
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GLM-OCR-finetuned-all-layers
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transformers
safetensors
glm_ocr
image-text-to-text
llama-factory
full
generated_from_trainer
conversational
zai-org/GLM-OCR
finetune
other
endpoints_compatible
us
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sft-all-layers
This model is a fine-tuned version of
zai-org/GLM-OCR
on the my_ocr_dataset 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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
num_epochs: 1
Training results
Framework versions
Transformers 5.6.0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
