metadata
library_name: peft
license: mit
base_model: zai-org/GLM-OCR
tags:
- base_model:adapter:zai-org/GLM-OCR
- lora
- transformers
- unsloth
pipeline_tag: text-generation
model-index:
- name: glm-ocr-receipt-lora
results: []
glm-ocr-receipt-lora
This model is a fine-tuned version of zai-org/GLM-OCR 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.0
- Tokenizers 0.22.2