metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test_wav2vec2_ESC50
results: []
test_wav2vec2_ESC50
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: 1.0326
- Accuracy: 0.7104
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1292 | 0.9863 | 54 | 2.1314 | 0.2576 |
| 1.7714 | 1.9909 | 109 | 1.7812 | 0.4087 |
| 1.5023 | 2.9954 | 164 | 1.6238 | 0.4951 |
| 1.3402 | 4.0 | 219 | 1.3518 | 0.6022 |
| 1.1629 | 4.9863 | 273 | 1.2371 | 0.6440 |
| 1.0466 | 5.9909 | 328 | 1.1422 | 0.6789 |
| 0.9478 | 6.9954 | 383 | 1.0848 | 0.6875 |
| 0.879 | 8.0 | 438 | 1.1490 | 0.6577 |
| 0.8719 | 8.9863 | 492 | 1.0175 | 0.7121 |
| 0.8069 | 9.8630 | 540 | 1.0326 | 0.7104 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1