| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imagefolder |
| metrics: |
| - accuracy |
| model-index: |
| - name: cfe-telmex-classification-finetuned-v2 |
| results: |
| - task: |
| name: Image Classification |
| type: image-classification |
| dataset: |
| name: imagefolder |
| type: imagefolder |
| config: JoseVilla--cfe_telmex_classification_v1 |
| split: train |
| args: JoseVilla--cfe_telmex_classification_v1 |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 1.0 |
| --- |
| |
| <!-- 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. --> |
|
|
| # cfe-telmex-classification-finetuned-v2 |
|
|
| This model is a fine-tuned version of [JoseVilla/cfe-telmex-classification-finetuned-v1](https://huggingface.co/JoseVilla/cfe-telmex-classification-finetuned-v1) on the imagefolder dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1568 |
| - Accuracy: 1.0 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 2 | 0.3749 | 0.7586 | |
| | No log | 2.0 | 4 | 0.1568 | 1.0 | |
| | No log | 3.0 | 6 | 0.0495 | 1.0 | |
| | No log | 4.0 | 8 | 0.0188 | 1.0 | |
| | 0.136 | 5.0 | 10 | 0.0087 | 1.0 | |
| | 0.136 | 6.0 | 12 | 0.0060 | 1.0 | |
| | 0.136 | 7.0 | 14 | 0.0063 | 1.0 | |
| | 0.136 | 8.0 | 16 | 0.0039 | 1.0 | |
| | 0.136 | 9.0 | 18 | 0.0018 | 1.0 | |
| | 0.0129 | 10.0 | 20 | 0.0015 | 1.0 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.29.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
