This model is a fine-tuned version of stevhliu/my_awesome_minds_model on the minds14 dataset. It achieves the following results on the evaluation set:

Loss: 2.6589
Accuracy: 0.0442

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: 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: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.8	3	2.6369	0.0708
No log	1.87	7	2.6416	0.0531
2.5939	2.93	11	2.6429	0.0619
2.5939	4.0	15	2.6646	0.0531
2.5939	4.8	18	2.6581	0.0442
2.5818	5.87	22	2.6622	0.0442
2.5818	6.93	26	2.6591	0.0442
2.5708	8.0	30	2.6589	0.0442

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Jurabek/Audio_classification

Audio_classification

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Jurabek/
Audio_classification