metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- audio-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-present
results: []
wav2vec2-present
This model is a fine-tuned version of facebook/wav2vec2-base on the MatsRooth/object dataset. It achieves the following results on the evaluation set:
- Loss: 0.0866
- Accuracy: 0.9853
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: 4
- eval_batch_size: 4
- seed: 0
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5208 | 1.0 | 1539 | 0.2246 | 0.9425 |
| 0.1232 | 2.0 | 3079 | 0.1606 | 0.9655 |
| 0.2855 | 3.0 | 4618 | 0.1177 | 0.9696 |
| 0.2405 | 4.0 | 6158 | 0.1015 | 0.9793 |
| 0.0272 | 5.0 | 7697 | 0.0853 | 0.9830 |
| 0.1269 | 6.0 | 9237 | 0.1081 | 0.9807 |
| 0.031 | 7.0 | 10776 | 0.0811 | 0.9848 |
| 0.0781 | 8.0 | 12316 | 0.0707 | 0.9848 |
| 0.0317 | 9.0 | 13855 | 0.0851 | 0.9848 |
| 0.068 | 10.0 | 15390 | 0.0866 | 0.9853 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.9.0+cu128
- Datasets 2.13.1
- Tokenizers 0.15.0