metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Valence-wav2vec2-base-EMOPIA
results: []
Valence-wav2vec2-base-EMOPIA
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1044
- Accuracy: 0.6761
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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6979 | 1.0 | 269 | 0.6842 | 0.5915 |
| 0.69 | 2.0 | 538 | 0.6864 | 0.5775 |
| 0.6714 | 3.0 | 807 | 0.6900 | 0.5070 |
| 0.6357 | 4.0 | 1076 | 0.6514 | 0.5775 |
| 0.5678 | 5.0 | 1345 | 0.6612 | 0.6197 |
| 0.5152 | 6.0 | 1614 | 0.6496 | 0.6761 |
| 0.4826 | 7.0 | 1883 | 0.7743 | 0.6479 |
| 0.4707 | 8.0 | 2152 | 0.8348 | 0.6620 |
| 0.4742 | 9.0 | 2421 | 0.8808 | 0.6761 |
| 0.4857 | 10.0 | 2690 | 0.8734 | 0.7324 |
| 0.4779 | 11.0 | 2959 | 1.0206 | 0.6620 |
| 0.5063 | 12.0 | 3228 | 1.0737 | 0.6761 |
| 0.4776 | 13.0 | 3497 | 1.0966 | 0.6761 |
| 0.4716 | 14.0 | 3766 | 1.1046 | 0.6761 |
| 0.4672 | 15.0 | 4035 | 1.1044 | 0.6761 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1