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---
license: apache-2.0
base_model: asapp/sew-d-tiny-100k-ft-ls100h
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-ft-ls100h](https://huggingface.co/asapp/sew-d-tiny-100k-ft-ls100h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2176
- Accuracy: 0.1578
- Precision: 0.1069
- Recall: 0.1578
- F1: 0.1011
- Binary: 0.4046
## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
| No log | 0.86 | 50 | 4.3363 | 0.0340 | 0.0127 | 0.0340 | 0.0089 | 0.2745 |
| 4.403 | 1.72 | 100 | 4.0500 | 0.0364 | 0.0076 | 0.0364 | 0.0100 | 0.3073 |
| 4.1865 | 2.59 | 150 | 3.8094 | 0.0631 | 0.0352 | 0.0631 | 0.0271 | 0.3354 |
| 3.9457 | 3.45 | 200 | 3.6427 | 0.0777 | 0.0356 | 0.0777 | 0.0312 | 0.3507 |
| 3.791 | 4.31 | 250 | 3.5282 | 0.0947 | 0.0376 | 0.0947 | 0.0368 | 0.3604 |
| 3.6663 | 5.17 | 300 | 3.4610 | 0.1044 | 0.0790 | 0.1044 | 0.0529 | 0.3636 |
| 3.5798 | 6.03 | 350 | 3.3702 | 0.1238 | 0.0834 | 0.1238 | 0.0783 | 0.3801 |
| 3.5798 | 6.9 | 400 | 3.3180 | 0.1383 | 0.0987 | 0.1383 | 0.0915 | 0.3917 |
| 3.5087 | 7.76 | 450 | 3.2698 | 0.1578 | 0.1113 | 0.1578 | 0.1070 | 0.4046 |
| 3.4575 | 8.62 | 500 | 3.2399 | 0.1699 | 0.1264 | 0.1699 | 0.1176 | 0.4124 |
| 3.4108 | 9.48 | 550 | 3.2176 | 0.1578 | 0.1069 | 0.1578 | 0.1011 | 0.4046 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.15.1
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