| --- |
| library_name: transformers |
| base_model: popkek00/trainer_output |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: fall-detection-ft |
| 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. --> |
|
|
| # fall-detection-ft |
|
|
| This model is a fine-tuned version of [popkek00/trainer_output](https://huggingface.co/popkek00/trainer_output) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5574 |
| - Accuracy: 0.7395 |
| - F1: 0.8437 |
|
|
| ## 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: 128 |
| - eval_batch_size: 128 |
| - seed: 42 |
| - optimizer: Use 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_ratio: 0.1 |
| - num_epochs: 15 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 0.5734 | 1.0 | 42 | 0.5955 | 0.7111 | 0.8310 | |
| | 0.5998 | 2.0 | 84 | 0.6113 | 0.6939 | 0.8116 | |
| | 0.5725 | 3.0 | 126 | 0.5574 | 0.7395 | 0.8437 | |
| | 0.5145 | 4.0 | 168 | 0.5487 | 0.7463 | 0.8371 | |
| | 0.5427 | 5.0 | 210 | 0.5389 | 0.7380 | 0.8344 | |
| | 0.499 | 6.0 | 252 | 0.5532 | 0.7246 | 0.8045 | |
| | 0.4837 | 7.0 | 294 | 0.6000 | 0.6826 | 0.7599 | |
| | 0.4965 | 8.0 | 336 | 0.5712 | 0.7081 | 0.7921 | |
| | 0.4505 | 9.0 | 378 | 0.6617 | 0.6347 | 0.7182 | |
| | 0.4533 | 10.0 | 420 | 0.7154 | 0.6168 | 0.6784 | |
| | 0.4588 | 11.0 | 462 | 0.6455 | 0.6549 | 0.7331 | |
| | 0.4251 | 12.0 | 504 | 0.6885 | 0.6093 | 0.6713 | |
| | 0.4143 | 13.0 | 546 | 0.6569 | 0.6265 | 0.7007 | |
| | 0.4031 | 14.0 | 588 | 0.7144 | 0.5936 | 0.6574 | |
| | 0.4011 | 15.0 | 630 | 0.6977 | 0.6033 | 0.6696 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.57.6 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.8.4 |
| - Tokenizers 0.22.2 |
|
|
