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wav2vec2-2-bert-large-long-run
sanchit-gandhi/wav2vec2-2-bert-large-long-run
wav2vec2-2-bert-large-long-run is a automatic speech recognition model from sanchit-gandhi. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- speech-encoder-decoder
- Access
- Public
- Created
- Mar 10, 2022
- Updated
- Mar 12, 2022
- SHA
- e56a48c1
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
This model was trained from scratch on the librispeech_asr dataset. It achieves the following results on the evaluation set:
- Loss: 12.7395
- Wer: 2.0272
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.6781 | 1.68 | 1500 | 6.6386 | 1.1672 |
| 6.6836 | 3.36 | 3000 | 6.6587 | 1.9518 |
| 6.6622 | 5.04 | 4500 | 6.5888 | 1.9276 |
| 5.844 | 6.73 | 6000 | 6.7220 | 1.9423 |
| 6.4588 | 8.41 | 7500 | 7.7569 | 1.9964 |
| 6.4097 | 10.09 | 9000 | 9.2515 | 2.0168 |
| 6.2676 | 11.77 | 10500 | 9.8159 | 2.0179 |
| 6.4948 | 13.45 | 12000 | 10.7091 | 2.0223 |
| 6.2728 | 15.13 | 13500 | 11.7747 | 2.0255 |
| 6.319 | 16.82 | 15000 | 12.2084 | 2.0259 |
| 5.8157 | 18.5 | 16500 | 12.7395 | 2.0272 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu113
- Datasets 1.18.3
- Tokenizers 0.11.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- speech-encoder-decoder
- Created
- Mar 10, 2022
- Updated
- Mar 12, 2022