wav2vec2-base – AI Model by bisoye | AlphaNeural AI

You can deploy this model and start earning money today!

bisoye/
wav2vec2-base

like

0

audio-classification

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

Views

No views yet

wav2vec2-base

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7306
Accuracy: 0.8322

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
2.0418	0.9851	33	2.0022	0.3299
1.7549	2.0	67	1.6488	0.4602
1.3727	2.9851	100	1.4025	0.5970
1.1483	4.0	134	1.1598	0.6739
1.0037	4.9851	167	0.9707	0.7516
0.8469	6.0	201	0.8492	0.7994
0.8115	6.9851	234	0.7889	0.8097
0.7371	8.0	268	0.7440	0.8247
0.6778	8.9851	301	0.7367	0.8304
0.6806	9.8507	330	0.7306	0.8322

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1