File size: 1,275 Bytes
fb67a5c f99ff63 fb67a5c f99ff63 fb67a5c f99ff63 b90f808 f99ff63 fb67a5c f99ff63 fb67a5c f99ff63 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
---
license: cc-by-4.0
base_model: umm-maybe/AI-image-detector
tags:
- generated_from_trainer
model-index:
- name: results
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. -->
# results
This model is a fine-tuned version of [umm-maybe/AI-image-detector](https://huggingface.co/umm-maybe/AI-image-detector) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1365
- eval_accuracy: 0.9612
- eval_runtime: 20.7986
- eval_samples_per_second: 28.511
- eval_steps_per_second: 3.606
- epoch: 1.86
- step: 550
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2
|