wav2vec2-speech-emotion-recognition-crema

MysticShadow427/wav2vec2-speech-emotion-recognition-crema

wav2vec2-speech-emotion-recognition-crema is a machine learning model from MysticShadow427. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Jun 2, 2023
Updated: Jun 2, 2023
SHA: fb3c4bd6

Model card

From the Hugging Face model README

wav2vec2-speech-emotion-recognition-crema

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: 0.7665
Accuracy: 0.7656

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2075	1.0	744	1.2272	0.5897
1.0422	2.0	1489	0.9361	0.6958
0.8137	3.0	2233	0.8154	0.7428
0.4798	4.0	2976	0.7665	0.7656

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Jun 2, 2023
Updated: Jun 2, 2023