wav2vec2-base-finetuned-iemocap – AI Model by leyuxzhang | AlphaNeural AI

You can deploy this model and start earning money today!

leyuxzhang/
wav2vec2-base-finetuned-iemocap

like

0

audio-classification

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

Views

No views yet

wav2vec2-base-finetuned-iemocap

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: 0.8307
Accuracy: 0.7125

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2601	1.0	139	1.0943	0.5371
1.0326	2.0	278	0.9921	0.5606
0.9372	3.0	417	0.9109	0.6474
0.8137	4.0	556	0.8505	0.6637
0.6846	5.0	695	0.8075	0.7071
0.5873	6.0	834	0.7864	0.7179
0.4847	7.0	973	0.8270	0.7052
0.4171	8.0	1112	0.8113	0.7161
0.347	9.0	1251	0.8206	0.7215
0.2986	10.0	1390	0.8307	0.7125

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1