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library_name: transformers
license: apache-2.0
base_model: microsoft/resnet-50
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SCUTFVD-resnet50-fold02
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# SCUTFVD-resnet50-fold02
This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2553
- Accuracy: 1.0
## 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
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.3939 | 1.0 | 75 | 3.5459 | 0.8125 |
| 2.6004 | 2.0 | 150 | 2.7319 | 0.75 |
| 2.1055 | 3.0 | 225 | 2.5355 | 0.6875 |
| 1.5796 | 4.0 | 300 | 1.8482 | 0.9688 |
| 1.3936 | 5.0 | 375 | 2.8199 | 0.5312 |
| 1.2338 | 6.0 | 450 | 1.6173 | 0.8438 |
| 0.9104 | 7.0 | 525 | 1.2332 | 0.9688 |
| 0.8993 | 8.0 | 600 | 0.5451 | 1.0 |
| 0.7933 | 9.0 | 675 | 0.9290 | 1.0 |
| 0.7451 | 10.0 | 750 | 0.2553 | 1.0 |
### Framework versions
- Transformers 5.1.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2
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