metadata
base_model: facebook/wav2vec2-base
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-EMOPIA
results: []
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: 2.1691
- Accuracy: 0.6338
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: 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
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8716 | 1.0 | 269 | 0.9822 | 0.6197 |
| 0.8143 | 2.0 | 538 | 1.2324 | 0.5352 |
| 0.7584 | 3.0 | 807 | 1.0226 | 0.6479 |
| 0.6715 | 4.0 | 1076 | 0.9550 | 0.6620 |
| 0.6471 | 5.0 | 1345 | 1.1272 | 0.6761 |
| 0.5759 | 6.0 | 1614 | 1.2193 | 0.6761 |
| 0.4963 | 7.0 | 1883 | 1.2214 | 0.7183 |
| 0.4053 | 8.0 | 2152 | 1.3083 | 0.7465 |
| 0.3344 | 9.0 | 2421 | 1.6391 | 0.6620 |
| 0.3216 | 10.0 | 2690 | 1.7224 | 0.6479 |
| 0.2248 | 11.0 | 2959 | 1.7973 | 0.6761 |
| 0.1982 | 12.0 | 3228 | 2.0241 | 0.6479 |
| 0.1362 | 13.0 | 3497 | 1.9933 | 0.6479 |
| 0.0879 | 14.0 | 3766 | 2.0865 | 0.6479 |
| 0.0712 | 15.0 | 4035 | 2.1691 | 0.6338 |
Framework versions
- Transformers 4.42.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1