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wav2vec2-gpt2-enc-dec
TheRamsay/wav2vec2-gpt2-enc-dec
wav2vec2-gpt2-enc-dec is a automatic speech recognition model from TheRamsay. 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
- Nov 28, 2024
- Updated
- Feb 26, 2025
- SHA
- 35d0ae1f
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. -->
wav2vec2-gpt2-enc-dec
This model is a fine-tuned version of on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3276
- Wer: 0.8489
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.08
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.9498 | 1.5625 | 50 | 0.6548 | 0.9324 |
| 0.4531 | 3.125 | 100 | 0.3959 | 0.9020 |
| 0.4087 | 4.6875 | 150 | 0.3735 | 0.8894 |
| 0.3992 | 6.25 | 200 | 0.3572 | 0.8747 |
| 0.3725 | 7.8125 | 250 | 0.3500 | 0.8763 |
| 0.3635 | 9.375 | 300 | 0.3419 | 0.8626 |
| 0.3647 | 10.9375 | 350 | 0.3381 | 0.8632 |
| 0.36 | 12.5 | 400 | 0.3340 | 0.8566 |
| 0.3588 | 14.0625 | 450 | 0.3316 | 0.8547 |
| 0.362 | 15.625 | 500 | 0.3299 | 0.8547 |
| 0.3613 | 17.1875 | 550 | 0.3280 | 0.8498 |
| 0.3505 | 18.75 | 600 | 0.3276 | 0.8489 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- speech-encoder-decoder
- Created
- Nov 28, 2024
- Updated
- Feb 26, 2025