metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-xlsr-greek-speech-emotion-recognition
results: []
wav2vec2-xlsr-greek-speech-emotion-recognition
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: 0.7699
- Accuracy: 0.8168
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
- 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5594 | 0.22 | 100 | 0.7689 | 0.7649 |
| 0.4341 | 0.44 | 200 | 0.6557 | 0.8045 |
| 0.2925 | 0.66 | 300 | 0.7060 | 0.8094 |
| 0.3846 | 0.88 | 400 | 0.7699 | 0.8168 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.3.dev0
- Tokenizers 0.12.1