metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-timit-phoneme-arpa-39-v3
results: []
wav2vec2-base-timit-phoneme-arpa-39-v3
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: 0.3767
- Wer: 0.0743
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: 32
- 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: 1000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.0128 | 3.45 | 500 | 2.0122 | 0.6527 |
| 0.6954 | 6.9 | 1000 | 0.3603 | 0.0777 |
| 0.3137 | 10.34 | 1500 | 0.3190 | 0.0726 |
| 0.219 | 13.79 | 2000 | 0.3554 | 0.0749 |
| 0.1633 | 17.24 | 2500 | 0.3767 | 0.0743 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3