metadata
library_name: transformers
license: apache-2.0
base_model: microsoft/resnet-50
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: resnet-50-cocoa
results: []
resnet-50-cocoa
This model is a fine-tuned version of microsoft/resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8971
- Accuracy: 0.8628
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4094 | 1.0 | 196 | 1.4768 | 0.8592 |
| 1.0664 | 2.0 | 392 | 1.2090 | 0.8628 |
| 1.0295 | 3.0 | 588 | 0.9924 | 0.8628 |
| 0.8401 | 4.0 | 784 | 0.9143 | 0.8628 |
| 0.8213 | 5.0 | 980 | 0.8971 | 0.8628 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.3.0+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3