Hemg/dangerous-heartbeat-detection

Source: 🤗audio-classificationapache-2.095M params378 MBsafetensors✓ 17 checksumsupdated 960d ago

dangerous-heartbeat-detection

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

Loss: 0.6427
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: 0.0003
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.5
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1853	1.0	1	1.5716	0.5556
0.5052	2.0	3	0.7388	1.0
0.3841	2.67	4	0.6427	1.0

Framework versions

Transformers 4.39.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Weights

Original

F32378 MB
2 files
model.safetensors 378 MBtraining_args.bin 4.9 kB

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