deep_fake_model huggingface.co api & codewithRiz deep_fake_model github AI Model

Introduction of deep_fake_model

Model Details of deep_fake_model

deep_fake_model

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0605
Accuracy: 0.9979
F1-score: 0.9979
Recall-score: 0.9979
Precision-score: 0.9979

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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
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: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1-score	Recall-score	Precision-score
1.9553	0.992	31	1.9020	0.3507	0.2502	0.3507	0.3103
1.8002	1.984	62	1.6493	0.4743	0.4116	0.4743	0.6029
1.4882	2.976	93	1.2879	0.5693	0.4839	0.5693	0.5924
1.1849	4.0	125	1.0308	0.7614	0.7370	0.7614	0.7530
0.9838	4.992	156	0.8273	0.8214	0.7817	0.8214	0.8209
0.6932	5.984	187	0.5542	0.8986	0.8829	0.8986	0.9127
0.4819	6.976	218	0.3752	0.9707	0.9708	0.9707	0.9716
0.2839	8.0	250	0.2012	0.9929	0.9928	0.9929	0.9930
0.1833	8.992	281	0.1280	0.9964	0.9964	0.9964	0.9964
0.1333	9.984	312	0.1403	0.9836	0.9835	0.9836	0.9841
0.1029	10.9760	343	0.0846	0.9964	0.9964	0.9964	0.9964
0.08	12.0	375	0.0793	0.995	0.9950	0.995	0.9950
0.0724	12.992	406	0.0973	0.9886	0.9885	0.9886	0.9887
0.0663	13.984	437	0.0668	0.9964	0.9964	0.9964	0.9964
0.0617	14.88	465	0.0605	0.9979	0.9979	0.9979	0.9979

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1

Runs of codewithRiz deep_fake_model on huggingface.co

Total runs

24-hour runs

3-day runs

7-day runs

30-day runs

More Information About deep_fake_model huggingface.co Model

More deep_fake_model license Visit here:

https://choosealicense.com/licenses/apache-2.0

deep_fake_model huggingface.co

deep_fake_model huggingface.co is an AI model on huggingface.co that provides deep_fake_model's model effect (), which can be used instantly with this codewithRiz deep_fake_model model. huggingface.co supports a free trial of the deep_fake_model model, and also provides paid use of the deep_fake_model. Support call deep_fake_model model through api, including Node.js, Python, http.

deep_fake_model huggingface.co Url

https://huggingface.co/codewithRiz/deep_fake_model

codewithRiz deep_fake_model online free

deep_fake_model huggingface.co is an online trial and call api platform, which integrates deep_fake_model's modeling effects, including api services, and provides a free online trial of deep_fake_model, you can try deep_fake_model online for free by clicking the link below.

codewithRiz deep_fake_model online free url in huggingface.co:

https://huggingface.co/codewithRiz/deep_fake_model

deep_fake_model install

deep_fake_model is an open source model from GitHub that offers a free installation service, and any user can find deep_fake_model on GitHub to install. At the same time, huggingface.co provides the effect of deep_fake_model install, users can directly use deep_fake_model installed effect in huggingface.co for debugging and trial. It also supports api for free installation.