metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test_triage
results: []
datasets:
- arunboss/test
test_triage
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the Test dataset (I plan to make it bigger and more neater soon for others to build on). It achieves the following results on the evaluation set:
- Loss: 2.5160
- Accuracy: 0.3900
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: 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.3151 | 1.0 | 151 | 3.2356 | 0.2498 |
| 2.7912 | 2.0 | 303 | 2.6766 | 0.3433 |
| 2.67 | 2.99 | 453 | 2.5160 | 0.3900 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3