| | --- |
| | base_model: google/paligemma-3b-pt-224 |
| | datasets: |
| | - imagefolder |
| | library_name: peft |
| | license: gemma |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: code-extraction |
| | 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. --> |
| |
|
| | # code-extraction |
| |
|
| | This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on the imagefolder dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2910 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 2 |
| | - num_epochs: 2 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 1.1102 | 0.1064 | 10 | 0.9836 | |
| | | 0.9563 | 0.2128 | 20 | 0.8361 | |
| | | 0.8725 | 0.3191 | 30 | 0.7021 | |
| | | 0.8441 | 0.4255 | 40 | 0.5871 | |
| | | 0.6958 | 0.5319 | 50 | 0.5101 | |
| | | 0.6931 | 0.6383 | 60 | 0.4598 | |
| | | 0.5352 | 0.7447 | 70 | 0.4224 | |
| | | 0.4966 | 0.8511 | 80 | 0.3931 | |
| | | 0.6237 | 0.9574 | 90 | 0.3646 | |
| | | 0.4289 | 1.0638 | 100 | 0.3423 | |
| | | 0.5224 | 1.1702 | 110 | 0.3226 | |
| | | 0.5532 | 1.2766 | 120 | 0.3140 | |
| | | 0.3561 | 1.3830 | 130 | 0.3053 | |
| | | 0.3985 | 1.4894 | 140 | 0.3027 | |
| | | 0.39 | 1.5957 | 150 | 0.2992 | |
| | | 0.3741 | 1.7021 | 160 | 0.2943 | |
| | | 0.2028 | 1.8085 | 170 | 0.2898 | |
| | | 0.3935 | 1.9149 | 180 | 0.2910 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.11.1 |
| | - Transformers 4.42.3 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
