metadata
library_name: peft
license: mit
base_model: zai-org/GLM-OCR
tags:
- base_model:adapter:zai-org/GLM-OCR
- llama-factory
- lora
- transformers
metrics:
- accuracy
pipeline_tag: text-generation
model-index:
- name: smoke_test_glm4v_checkpoints
results: []
smoke_test_glm4v_checkpoints
This model is a fine-tuned version of zai-org/GLM-OCR on the gujarati_ocr_stream dataset. It achieves the following results on the evaluation set:
- Loss: 2.5668
- Accuracy: 0.5594
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: 1
- training_steps: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.7841 | 0.6154 | 2 | 2.7496 | 0.5348 |
| 2.6433 | 1.0 | 4 | 2.5868 | 0.5556 |
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.11.0+cu130
- Datasets 4.0.0
- Tokenizers 0.22.2