metadata
base_model: MBZUAI/swiftformer-xs
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swiftformer-xs-DMAE
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: validation
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.45652173913043476
swiftformer-xs-DMAE
This model is a fine-tuned version of MBZUAI/swiftformer-xs on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 67319515540793508675715072.0000
- Accuracy: 0.4565
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: 0.015
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.86 | 3 | 67319515540793508675715072.0000 | 0.6739 |
| No log | 2.0 | 7 | 67319515540793508675715072.0000 | 0.1087 |
| 65998362497246039927422976.0000 | 2.86 | 10 | 67319515540793508675715072.0000 | 0.3261 |
| 65998362497246039927422976.0000 | 4.0 | 14 | 67319515540793508675715072.0000 | 0.4565 |
| 65998362497246039927422976.0000 | 4.86 | 17 | 67319515540793508675715072.0000 | 0.3261 |
| 69095061697085437542137856.0000 | 6.0 | 21 | 67319515540793508675715072.0000 | 0.4783 |
| 69095061697085437542137856.0000 | 6.86 | 24 | 67319515540793508675715072.0000 | 0.4565 |
| 69095061697085437542137856.0000 | 8.0 | 28 | 67319515540793508675715072.0000 | 0.4565 |
| 77610986341318196513996800.0000 | 8.86 | 31 | 67319515540793508675715072.0000 | 0.5 |
| 77610986341318196513996800.0000 | 10.0 | 35 | 67319515540793508675715072.0000 | 0.3478 |
| 77610986341318196513996800.0000 | 10.86 | 38 | 67319515540793508675715072.0000 | 0.3478 |
| 57288905682238366283726848.0000 | 12.0 | 42 | 67319515540793508675715072.0000 | 0.3478 |
| 57288905682238366283726848.0000 | 12.86 | 45 | 67319515540793508675715072.0000 | 0.4348 |
| 57288905682238366283726848.0000 | 14.0 | 49 | 67319515540793508675715072.0000 | 0.3696 |
| 74707823001602531749003264.0000 | 14.86 | 52 | 67319515540793508675715072.0000 | 0.3261 |
| 74707823001602531749003264.0000 | 16.0 | 56 | 67319515540793508675715072.0000 | 0.2826 |
| 74707823001602531749003264.0000 | 16.86 | 59 | 67319515540793508675715072.0000 | 0.4565 |
| 70449886504927853738459136.0000 | 18.0 | 63 | 67319515540793508675715072.0000 | 0.4348 |
| 70449886504927853738459136.0000 | 18.86 | 66 | 67319515540793508675715072.0000 | 0.4130 |
| 66191905736067400542978048.0000 | 20.0 | 70 | 67319515540793508675715072.0000 | 0.3478 |
| 66191905736067400542978048.0000 | 20.86 | 73 | 67319515540793508675715072.0000 | 0.4565 |
| 66191905736067400542978048.0000 | 22.0 | 77 | 67319515540793508675715072.0000 | 0.3478 |
| 63869401627606337277919232.0000 | 22.86 | 80 | 67319515540793508675715072.0000 | 0.4130 |
| 63869401627606337277919232.0000 | 24.0 | 84 | 67319515540793508675715072.0000 | 0.3261 |
| 63869401627606337277919232.0000 | 24.86 | 87 | 67319515540793508675715072.0000 | 0.5 |
| 63869386870211073156317184.0000 | 26.0 | 91 | 67319515540793508675715072.0000 | 0.4783 |
| 63869386870211073156317184.0000 | 26.86 | 94 | 67319515540793508675715072.0000 | 0.4565 |
| 63869386870211073156317184.0000 | 28.0 | 98 | 67319515540793508675715072.0000 | 0.4565 |
| 72385304135746204362342400.0000 | 28.86 | 101 | 67319515540793508675715072.0000 | 0.4565 |
| 72385304135746204362342400.0000 | 30.0 | 105 | 67319515540793508675715072.0000 | 0.5 |
| 72385304135746204362342400.0000 | 30.86 | 108 | 67319515540793508675715072.0000 | 0.5 |
| 65030638924441609083813888.0000 | 32.0 | 112 | 67319515540793508675715072.0000 | 0.4565 |
| 65030638924441609083813888.0000 | 32.86 | 115 | 67319515540793508675715072.0000 | 0.4565 |
| 65030638924441609083813888.0000 | 34.0 | 119 | 67319515540793508675715072.0000 | 0.4565 |
| 65998362497246039927422976.0000 | 34.29 | 120 | 67319515540793508675715072.0000 | 0.4565 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0