ameerazam08/wav2vec2-xlsr-ravdess-speech-emotion-recognition-new
043
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
wav2vec2-xlsr-ravdess-speech-emotion-recognition-new
This model is a fine-tuned version of lighteternal/wav2vec2-large-xlsr-53-greek on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8209
- Accuracy: 0.625
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: 0.0001
- trainbatchsize: 4
- evalbatchsize: 4
- seed: 42
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- num_epochs: 3
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu102
- Datasets 2.4.1.dev0
- Tokenizers 0.12.1
