unlearn_speech_commands_hubert-base_neggrad_6_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_speech_commands_hubert-base_neggrad_6_42

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audio-classification

generated_from_trainer

facebook/hubert-base-ls960

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superb_ks_42

This model is a fine-tuned version of facebook/hubert-base-ls960 on the superb dataset. It achieves the following results on the evaluation set:

Loss: -8.2893
Accuracy: 0.6209
Test Accuracy: 0.6209
Df Accuracy: 0.1331
Unlearn Overall Accuracy: 0.7439
Unlearn Time: 413.0351

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: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	96	-8.2893	0.1331	0.7439	0.7439	-1
No log	2.0	192	-16.9202	0.1331	0.7439	0.7439	-1
No log	3.0	288	-26.3347	0.1331	0.7439	0.7439	-1
No log	4.0	384	-36.2141	0.1331	0.7439	0.7439	-1
No log	5.0	480	-45.9191	0.1331	0.7439	0.7439	-1
No log	6.0	576	-54.7217	0.1331	0.7439	0.7439	-1
No log	7.0	672	-62.1326	0.1331	0.7439	0.7439	-1
No log	8.0	768	-67.7186	0.1331	0.7439	0.7439	-1
No log	9.0	864	-71.2119	0.1331	0.7439	0.7439	-1
No log	10.0	960	-72.3902	0.1331	0.7439	0.7439	-1

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2