File size: 1,816 Bytes
6d91c22 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | ---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21K
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Main_Fashion
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. -->
# Main_Fashion
This model is a fine-tuned version of [google/vit-base-patch16-224-in21K](https://huggingface.co/google/vit-base-patch16-224-in21K) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7633
- Accuracy: 0.6961
## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.934 | 0.9259 | 100 | 0.9492 | 0.7030 |
| 0.9191 | 1.8519 | 200 | 0.7838 | 0.7401 |
| 0.7774 | 2.7778 | 300 | 0.8152 | 0.7123 |
| 0.5743 | 3.7037 | 400 | 0.7249 | 0.7100 |
| 0.5145 | 4.6296 | 500 | 0.7721 | 0.7077 |
| 0.4713 | 5.5556 | 600 | 0.7182 | 0.7146 |
| 0.4397 | 6.4815 | 700 | 0.7633 | 0.6961 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
|