unlearn_speech_commands_wav2vec2-large_bad_teaching_6_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_speech_commands_wav2vec2-large_bad_teaching_6_42

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audio-classification

generated_from_trainer

facebook/wav2vec2-large

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superb_ks_42

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

Loss: 80.4388
Accuracy: 0.6215
Test Accuracy: 0.6215
Df Accuracy: 0.1346
Unlearn Overall Accuracy: 0.7435
Unlearn Time: 640.7721

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	189	7.6645	0.1343	0.7433	0.7433	-1
No log	2.0	378	30.0267	0.2179	0.7179	0.7179	-1
No log	3.0	567	58.5008	0.1343	0.7433	0.7433	-1
No log	4.0	756	74.2509	0.1432	0.7403	0.7403	-1
No log	5.0	945	80.4388	0.1346	0.7435	0.7435	-1

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2