metadata
library_name: transformers
base_model: popkek00/trainer_output
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: fall-detection-ft
results: []
fall-detection-ft
This model is a fine-tuned version of 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 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2