| --- |
| 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: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # smoke_test_glm4v_checkpoints |
| |
| This model is a fine-tuned version of [zai-org/GLM-OCR](https://huggingface.co/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 |
