metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-EMOPIA
results: []
wav2vec2-base-EMOPIA
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: 1.0592
- Accuracy: 0.5200
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2789 | 0.98 | 41 | 1.2019 | 0.4000 |
| 1.0522 | 1.98 | 82 | 1.1521 | 0.4000 |
| 0.957 | 2.98 | 123 | 1.0673 | 0.5200 |
| 0.87 | 3.98 | 164 | 1.0955 | 0.5 |
| 0.8053 | 4.98 | 205 | 1.0592 | 0.5200 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.1+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1