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w2v2-shallow-bart-5k-1e-3
sanchit-gandhi/w2v2-shallow-bart-5k-1e-3
w2v2-shallow-bart-5k-1e-3 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
- Nov 15, 2022
- Updated
- Nov 16, 2022
- SHA
- 19b81e42
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. -->
w2v2-shallow-bart-5k-1e-3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.2228
- Wer: 219.0067
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: 0.001
- 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: 250
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.4271 | 0.2 | 1000 | 5.5063 | 287.8938 |
| 4.9304 | 1.04 | 2000 | 5.4201 | 198.6618 |
| 4.6411 | 1.24 | 3000 | 5.2925 | 332.8481 |
| 4.3797 | 2.09 | 4000 | 5.2913 | 155.6744 |
| 4.2848 | 2.29 | 5000 | 5.2228 | 219.0067 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.11.0
- Datasets 2.6.1
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- speech-encoder-decoder
- Created
- Nov 15, 2022
- Updated
- Nov 16, 2022