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resnet50
This model is a fine-tuned version of microsoft/resnet-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.2042
- Accuracy: 0.0
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 320
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.8491 | 1.0 | 1 | 8.1612 | 0.0 |
| 6.7309 | 2.0 | 2 | 7.3393 | 0.0 |
| 6.8199 | 3.0 | 3 | 7.9807 | 0.0 |
| 6.8118 | 4.0 | 4 | 8.6801 | 0.0 |
| 6.7573 | 5.0 | 5 | 8.2042 | 0.0 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.6.0
- Tokenizers 0.13.1
