unlearn_speech_commands_wav2vec2-base_bad_teaching_10_42 – AI Model by jialicheng | AlphaNeural AI

You can deploy this model and start earning money today!

jialicheng/
unlearn_speech_commands_wav2vec2-base_bad_teaching_10_42

like

0

audio-classification

generated_from_trainer

facebook/wav2vec2-base

Views

No views yet

superb_ks_42

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

Loss: 28.1563
Accuracy: 0.6199
Test Accuracy: 0.6199
Df Accuracy: 0.1351
Unlearn Overall Accuracy: 0.7424
Unlearn Time: 424.3525

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: 32
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_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	315	2.7566	0.4782	0.6454	0.6454	-1
No log	2.0	630	13.1128	0.1379	0.7411	0.7411	-1
No log	3.0	945	22.6619	0.1355	0.7409	0.7409	-1
0.0	4.0	1260	28.1563	0.1351	0.7424	0.7424	-1
0.0	5.0	1575	29.8153	0.1353	0.7418	0.7418	-1

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2