metadata

library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - recall
  - precision
model-index:
  - name: wav2vec2-base-music_genre_classifier-g4-firstseconds
    results: []

wav2vec2-base-music_genre_classifier-g4-firstseconds

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

Loss: 1.0453
Accuracy: 0.7794
F1: 0.7715
Recall: 0.7722
Precision: 0.7752

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: 12
eval_batch_size: 12
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
2.2104	1.0	267	2.2272	0.3755	0.3160	0.3656	0.3611
1.6919	2.0	534	1.7563	0.4622	0.3974	0.4519	0.3981
1.3183	3.0	801	1.4686	0.5366	0.4834	0.5237	0.5364
1.0196	4.0	1068	1.2824	0.6183	0.5754	0.6094	0.5873
1.0655	5.0	1335	1.2136	0.6196	0.5822	0.6075	0.6142
0.8205	6.0	1602	1.0635	0.6778	0.6449	0.6687	0.6611
0.6309	7.0	1869	1.0256	0.7088	0.6798	0.6975	0.7004
0.4618	8.0	2136	0.9435	0.7435	0.7330	0.7373	0.7387
0.4057	9.0	2403	0.9192	0.7534	0.7403	0.7465	0.7507
0.2491	10.0	2670	0.9099	0.7596	0.7539	0.7510	0.7640
0.2548	11.0	2937	1.0901	0.7336	0.7305	0.7291	0.7475
0.0885	12.0	3204	1.0956	0.7447	0.7417	0.7387	0.7519
0.0988	13.0	3471	1.0585	0.7695	0.7623	0.7634	0.7641
0.1982	14.0	3738	1.0453	0.7794	0.7715	0.7722	0.7752
0.0966	15.0	4005	1.0914	0.7732	0.7676	0.7690	0.7706

Framework versions

Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3