metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- timit_asr
model-index:
- name: wav2vec2-xls-r-1b_phoneme-timit_english_timit-4k_001
results: []
language:
- en
metrics:
- wer
library_name: transformers
pipeline_tag: automatic-speech-recognition
wav2vec2-xls-r-1b_phoneme-timit_english_timit-4k_001
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the timit dataset. It achieves the following results on the evaluation set:
- Loss: 0.4353
- Per: 0.1233
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: 8
- 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: 5000
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Per |
|---|---|---|---|---|
| 3.356 | 1.73 | 1000 | 0.4634 | 0.1786 |
| 0.7615 | 3.46 | 2000 | 0.4203 | 0.1688 |
| 0.6183 | 5.19 | 3000 | 0.4097 | 0.1705 |
| 0.6072 | 6.92 | 4000 | 0.4693 | 0.1798 |
| 0.6144 | 8.65 | 5000 | 0.5058 | 0.1810 |
| 0.5871 | 10.38 | 6000 | 0.4735 | 0.1761 |
| 0.5046 | 12.11 | 7000 | 0.4379 | 0.1654 |
| 0.4093 | 13.84 | 8000 | 0.4333 | 0.1577 |
| 0.3299 | 15.57 | 9000 | 0.4281 | 0.1526 |
| 0.2723 | 17.3 | 10000 | 0.4353 | 0.1499 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.13.3