metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-finetuned-iemocap
results: []
wav2vec2-base-finetuned-iemocap
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: 0.8307
- Accuracy: 0.7125
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2601 | 1.0 | 139 | 1.0943 | 0.5371 |
| 1.0326 | 2.0 | 278 | 0.9921 | 0.5606 |
| 0.9372 | 3.0 | 417 | 0.9109 | 0.6474 |
| 0.8137 | 4.0 | 556 | 0.8505 | 0.6637 |
| 0.6846 | 5.0 | 695 | 0.8075 | 0.7071 |
| 0.5873 | 6.0 | 834 | 0.7864 | 0.7179 |
| 0.4847 | 7.0 | 973 | 0.8270 | 0.7052 |
| 0.4171 | 8.0 | 1112 | 0.8113 | 0.7161 |
| 0.347 | 9.0 | 1251 | 0.8206 | 0.7215 |
| 0.2986 | 10.0 | 1390 | 0.8307 | 0.7125 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1