---
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 |


### Framework versions

- Transformers 4.57.6
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2