| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: tinutmap/categor_ai_23_cats |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: categor_ai_23_cats_train |
| 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. --> |
|
|
| # categor_ai_23_cats_train |
|
|
| This model is a fine-tuned version of [tinutmap/categor_ai_23_cats](https://huggingface.co/tinutmap/categor_ai_23_cats) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0988 |
| - 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: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 1 | 1.5714 | 0.0 | |
| | No log | 2.0 | 2 | 0.9634 | 1.0 | |
| | No log | 3.0 | 3 | 0.5682 | 1.0 | |
| | No log | 4.0 | 4 | 0.3683 | 1.0 | |
| | No log | 5.0 | 5 | 0.2697 | 1.0 | |
| | No log | 6.0 | 6 | 0.2010 | 1.0 | |
| | No log | 7.0 | 7 | 0.1684 | 1.0 | |
| | No log | 8.0 | 8 | 0.1496 | 1.0 | |
| | No log | 9.0 | 9 | 0.1369 | 1.0 | |
| | No log | 10.0 | 10 | 0.1313 | 1.0 | |
| | No log | 11.0 | 11 | 0.1261 | 1.0 | |
| | No log | 12.0 | 12 | 0.1202 | 1.0 | |
| | No log | 13.0 | 13 | 0.1168 | 1.0 | |
| | No log | 14.0 | 14 | 0.1131 | 1.0 | |
| | No log | 15.0 | 15 | 0.1095 | 1.0 | |
| | No log | 16.0 | 16 | 0.1056 | 1.0 | |
| | No log | 17.0 | 17 | 0.1026 | 1.0 | |
| | No log | 18.0 | 18 | 0.1006 | 1.0 | |
| | No log | 19.0 | 19 | 0.0995 | 1.0 | |
| | No log | 20.0 | 20 | 0.0988 | 1.0 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.44.1 |
| - Pytorch 2.3.1 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
|
|
