Hemg/heartbeat-detection-8

Source: 🤗audio-classificationapache-2.024M params95 MBsafetensors✓ 18 checksumsupdated 955d ago

heartbeat-detection-8

This model is a fine-tuned version of ntu-spml/distilhubert on the audiofolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0001
Accuracy: 1.0

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: 0.001
train_batch_size: 16
eval_batch_size: 16
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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0906	1.0	4	0.0892	1.0
0.0365	2.0	8	0.0010	1.0
0.0006	3.0	12	0.0001	1.0
0.0001	4.0	16	0.0001	1.0

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Weights

Original

F3295 MB
2 files
model.safetensors 95 MBtraining_args.bin 4.9 kB

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