metadata
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vecvanilla
results: []
wav2vecvanilla
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8028
- Wer: 0.3041
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.1729 | 1.69 | 100 | 1.0048 | 0.3681 |
| 1.0722 | 3.39 | 200 | 0.9117 | 0.3511 |
| 0.9994 | 5.08 | 300 | 0.9302 | 0.3436 |
| 0.9576 | 6.78 | 400 | 0.8246 | 0.3320 |
| 0.9826 | 8.47 | 500 | 0.7846 | 0.3343 |
| 0.801 | 10.17 | 600 | 0.8600 | 0.3269 |
| 0.8174 | 11.86 | 700 | 0.7871 | 0.3186 |
| 0.7162 | 13.56 | 800 | 0.8164 | 0.3186 |
| 0.7447 | 15.25 | 900 | 0.8965 | 0.3084 |
| 0.6889 | 16.95 | 1000 | 0.8239 | 0.3057 |
| 0.6739 | 18.64 | 1100 | 0.8028 | 0.3041 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2