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vumichien/
trillsson3-ft-keyword-spotting

Name: trillsson3-ft-keyword-spotting
Availability: InStock

generated_from_trainer

superb

autotrain_compatible

endpoints_compatible

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trillsson3-ft-keyword-spotting

This model is a fine-tuned version of vumichien/nonsemantic-speech-trillsson3 on the superb dataset. It achieves the following results on the evaluation set:

Loss: 0.3563
Accuracy: 0.9041

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: 0.0003
train_batch_size: 32
eval_batch_size: 64
seed: 0
gradient_accumulation_steps: 2
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: 10.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1824	1.0	798	0.6478	0.7489
0.7448	2.0	1596	0.4274	0.8728
0.7089	3.0	2394	0.3723	0.8950
0.6781	4.0	3192	0.3563	0.9041
0.6386	5.0	3990	0.3441	0.8986
0.6342	6.0	4788	0.3380	0.8994
0.6275	7.0	5586	0.3376	0.8982
0.6349	8.0	6384	0.3333	0.9014
0.6261	9.0	7182	0.3295	0.9025
0.6188	10.0	7980	0.3322	0.9025

Framework versions

Transformers 4.23.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2

vumichien/trillsson3-ft-keyword-spotting

trillsson3-ft-keyword-spotting

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vumichien/
trillsson3-ft-keyword-spotting