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wav2vec2-base_toy_train_data_augment_0.1
scasutt/wav2vec2-base_toy_train_data_augment_0.1
wav2vec2-base_toy_train_data_augment_0.1 is a automatic speech recognition model from scasutt. 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
- Mar 25, 2022
- Updated
- Mar 25, 2022
- SHA
- df93bf5f
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-base_toy_train_data_augment_0.1
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3786
- Wer: 0.9954
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.1342 | 1.05 | 250 | 3.3901 | 0.9954 |
| 3.0878 | 2.1 | 500 | 3.4886 | 0.9954 |
| 3.0755 | 3.15 | 750 | 3.4616 | 0.9954 |
| 3.0891 | 4.2 | 1000 | 3.5316 | 0.9954 |
| 3.0724 | 5.25 | 1250 | 3.2608 | 0.9954 |
| 3.0443 | 6.3 | 1500 | 3.3881 | 0.9954 |
| 3.0421 | 7.35 | 1750 | 3.4507 | 0.9954 |
| 3.0448 | 8.4 | 2000 | 3.4525 | 0.9954 |
| 3.0455 | 9.45 | 2250 | 3.3342 | 0.9954 |
| 3.0425 | 10.5 | 2500 | 3.3385 | 0.9954 |
| 3.0457 | 11.55 | 2750 | 3.4411 | 0.9954 |
| 3.0375 | 12.6 | 3000 | 3.4459 | 0.9954 |
| 3.0459 | 13.65 | 3250 | 3.3883 | 0.9954 |
| 3.0455 | 14.7 | 3500 | 3.3417 | 0.9954 |
| 3.0524 | 15.75 | 3750 | 3.3908 | 0.9954 |
| 3.0443 | 16.81 | 4000 | 3.3932 | 0.9954 |
| 3.0446 | 17.86 | 4250 | 3.4052 | 0.9954 |
| 3.0412 | 18.91 | 4500 | 3.3776 | 0.9954 |
| 3.0358 | 19.96 | 4750 | 3.3786 | 0.9954 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu102
- Datasets 2.0.0
- Tokenizers 0.11.6
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Mar 25, 2022
- Updated
- Mar 25, 2022