metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: wav2vec2-attempt2
results: []
wav2vec2-attempt2
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2685
- Accuracy: 0.9373
- F1: 0.9372
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: 0.0003
- train_batch_size: 9
- eval_batch_size: 9
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 108
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.0285 | 1.0 | 646 | 0.9877 | 0.7123 | 0.7029 |
| 0.6367 | 2.0 | 1293 | 0.5708 | 0.8314 | 0.8333 |
| 0.3915 | 3.0 | 1940 | 0.4389 | 0.8745 | 0.8730 |
| 0.2359 | 4.0 | 2587 | 0.3361 | 0.9077 | 0.9082 |
| 0.0987 | 5.0 | 3234 | 0.2901 | 0.9246 | 0.9248 |
| 0.0705 | 5.99 | 3876 | 0.2685 | 0.9373 | 0.9372 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0