metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: alexnet-pneumonia
results: []
alexnet-pneumonia
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1157
- Accuracy: 0.9550
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: 16
- eval_batch_size: 50
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3975 | 0.99 | 52 | 0.3617 | 0.8437 |
| 0.2538 | 2.0 | 105 | 0.4916 | 0.8365 |
| 0.2066 | 2.99 | 157 | 0.2139 | 0.9177 |
| 0.1819 | 4.0 | 210 | 0.1342 | 0.9523 |
| 0.1135 | 4.95 | 260 | 0.1198 | 0.9547 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3