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wav2vec_mle
eugenetanjc/wav2vec_mle
wav2vec_mle is a automatic speech recognition model from eugenetanjc. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jun 24, 2022
- Updated
- Jun 24, 2022
- SHA
- 8e89db00
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. -->
wav2vec_mle
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.3076
- Wer: 1.0
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: 0.0003
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 60
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.3604 | 3.33 | 30 | 4.4612 | 1.0 |
| 4.502 | 6.67 | 60 | 4.5906 | 1.0 |
| 4.2842 | 10.0 | 90 | 4.4217 | 1.0 |
| 4.3833 | 13.33 | 120 | 4.3967 | 1.0 |
| 4.2631 | 16.67 | 150 | 4.3469 | 1.0 |
| 4.3357 | 20.0 | 180 | 4.3372 | 1.0 |
| 4.3941 | 23.33 | 210 | 4.3187 | 1.0 |
| 4.393 | 26.67 | 240 | 4.2981 | 1.0 |
| 4.3619 | 30.0 | 270 | 4.3049 | 1.0 |
| 4.3849 | 33.33 | 300 | 4.3138 | 1.0 |
| 4.3186 | 36.67 | 330 | 4.3123 | 1.0 |
| 4.3196 | 40.0 | 360 | 4.3097 | 1.0 |
| 4.3212 | 43.33 | 390 | 4.3279 | 1.0 |
| 4.3108 | 46.67 | 420 | 4.3249 | 1.0 |
| 4.3112 | 50.0 | 450 | 4.3093 | 1.0 |
| 4.2994 | 53.33 | 480 | 4.3198 | 1.0 |
| 4.2958 | 56.67 | 510 | 4.3071 | 1.0 |
| 4.2905 | 60.0 | 540 | 4.3076 | 1.0 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jun 24, 2022
- Updated
- Jun 24, 2022