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---
library_name: transformers
base_model: Ajayk/Truviz-ai-detect
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Truviz-ai-detect-new
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. -->
# Truviz-ai-detect-new
This model is a fine-tuned version of [Ajayk/Truviz-ai-detect](https://huggingface.co/Ajayk/Truviz-ai-detect) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2677
- Accuracy: 0.9423
## 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3847 | 0.1 | 500 | 0.2306 | 0.9071 |
| 0.2661 | 0.2 | 1000 | 0.4132 | 0.8855 |
| 0.2539 | 0.3 | 1500 | 0.2856 | 0.9146 |
| 0.2548 | 0.4 | 2000 | 0.2069 | 0.9295 |
| 0.1454 | 0.5 | 2500 | 0.3659 | 0.9212 |
| 0.2236 | 0.6 | 3000 | 0.2453 | 0.9344 |
| 0.2285 | 0.7 | 3500 | 0.1480 | 0.9497 |
| 0.2007 | 0.8 | 4000 | 0.2612 | 0.9229 |
| 0.2503 | 0.9 | 4500 | 0.2008 | 0.9384 |
| 0.2128 | 1.0 | 5000 | 0.1633 | 0.953 |
| 0.0849 | 1.1 | 5500 | 0.2167 | 0.9538 |
| 0.0706 | 1.2 | 6000 | 0.3862 | 0.9347 |
| 0.0915 | 1.3 | 6500 | 0.2781 | 0.9487 |
| 0.1187 | 1.4 | 7000 | 0.2677 | 0.9423 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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