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dhaselhan/
ast-finetuned-speech-commands-bit3

Name: ast-finetuned-speech-commands-bit3
Rating: 2.5 (5 reviews)

transformers

safetensors

audio-spectrogram-transformer

audio-classification

generated_from_trainer

MIT/ast-finetuned-speech-commands-v2

finetune

bsd-3-clause

endpoints_compatible

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ast-finetuned-speech-commands-bit3

This model is a fine-tuned version of MIT/ast-finetuned-speech-commands-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4409
Accuracy: 0.9031

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: 36
eval_batch_size: 36
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 144
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	Accuracy	Validation Loss
0.0583	1.0	589	0.8992	0.4810
0.0628	2.0	1178	0.9031	0.4409
0.0218	3.0	1767	0.9010	0.4444
0.0092	4.0	2356	0.9012	0.4322
0.0148	5.0	2945	0.9031	0.3927

Framework versions

Transformers 4.37.1
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

dhaselhan/ast-finetuned-speech-commands-bit3

ast-finetuned-speech-commands-bit3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dhaselhan/
ast-finetuned-speech-commands-bit3