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d-l-dl
bkh6722/d-l-dl
d-l-dl is a automatic speech recognition model from bkh6722. 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
- wav2vec2
- Access
- Public
- Created
- May 17, 2022
- Updated
- May 17, 2022
- SHA
- d2a51927
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. -->
d-l-dl
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4495
- 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- num_epochs: 800
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 42.4143 | 49.8 | 100 | 21.5116 | 1.0 |
| 5.9884 | 99.8 | 200 | 31.7976 | 1.0 |
| 4.0043 | 149.8 | 300 | 3.4829 | 1.0 |
| 3.653 | 199.8 | 400 | 3.6417 | 1.0 |
| 3.5207 | 249.8 | 500 | 3.5081 | 1.0 |
| 3.63 | 299.8 | 600 | 3.4836 | 1.0 |
| 3.648 | 349.8 | 700 | 3.4515 | 1.0 |
| 3.6448 | 399.8 | 800 | 3.4647 | 1.0 |
| 3.6872 | 449.8 | 900 | 3.4371 | 1.0 |
| 3.6892 | 499.8 | 1000 | 3.4337 | 1.0 |
| 3.684 | 549.8 | 1100 | 3.4375 | 1.0 |
| 3.6843 | 599.8 | 1200 | 3.4452 | 1.0 |
| 3.6842 | 649.8 | 1300 | 3.4416 | 1.0 |
| 3.6819 | 699.8 | 1400 | 3.4498 | 1.0 |
| 3.6832 | 749.8 | 1500 | 3.4524 | 1.0 |
| 3.6828 | 799.8 | 1600 | 3.4495 | 1.0 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- May 17, 2022
- Updated
- May 17, 2022