MysticShadow427
/

wav2vec2-speech-emotion-recognition

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Community

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

wav2vec2-speech-emotion-recognition

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: 0.6216
Accuracy: 0.7701

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: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.4442	1.0	97	1.3949	0.4483
1.0681	2.0	194	1.0663	0.5517
0.9145	3.0	291	0.9559	0.6092
0.7983	4.0	388	0.8588	0.6207
0.6426	5.0	485	0.7349	0.6782
0.5086	6.0	582	0.6216	0.7701

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Downloads last month: 0

Inference Providers NEW

This model is not currently available via any of the supported Inference Providers.

The model cannot be deployed to the HF Inference API: The model has no pipeline_tag.

Evaluation results

Metadata error: specify a dataset to view leaderboard