---
license: apache-2.0
base_model: asapp/sew-d-tiny-100k
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: sewd_classifier
  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. -->

# sewd_classifier

This model is a fine-tuned version of [asapp/sew-d-tiny-100k](https://huggingface.co/asapp/sew-d-tiny-100k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.0128
- Precision: 0.0002
- Recall: 0.0128
- F1: 0.0003
- Binary: 0.1299

## 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: 8
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Binary |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
| 0.0           | 1.0   | 876  | nan             | 0.0128   | 0.0002    | 0.0128 | 0.0003 | 0.1299 |
| 0.0           | 2.0   | 1752 | nan             | 0.0128   | 0.0002    | 0.0128 | 0.0003 | 0.1299 |
| 0.0           | 3.0   | 2628 | nan             | 0.0128   | 0.0002    | 0.0128 | 0.0003 | 0.1299 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.15.1