metadata
library_name: peft
license: apache-2.0
base_model: lightonai/LightOnOCR-1B-1025
tags:
- base_model:adapter:lightonai/LightOnOCR-1B-1025
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: lightonocr-ft-iam
results: []
datasets:
- HuggingFaceM4/FineVision
lightonocr-ft-iam
This model is a fine-tuned version of lightonai/LightOnOCR-1B-1025 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4395
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: 6e-05
- train_batch_size: 4
- eval_batch_size: 6
- 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: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1522 | 0.1661 | 50 | 0.4954 |
| 1.6662 | 0.3322 | 100 | 0.4395 |
Framework versions
- PEFT 0.18.0
- Transformers 5.0.0.dev0
- Pytorch 2.9.1
- Datasets 4.4.1
- Tokenizers 0.22.1