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wav2vec2-base-alffaamharic-google-colab
Samuael/wav2vec2-base-alffaamharic-google-colab
wav2vec2-base-alffaamharic-google-colab is a automatic speech recognition model from Samuael. 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
- Sep 20, 2023
- Updated
- Sep 29, 2023
- SHA
- 5f943e0d
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-alffaamharic-google-colab
This model is a fine-tuned version of Samuael/wav2vec2-base-alffaamharic-google-colab on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6124
- Wer: 0.3502
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: 0.0005
- train_batch_size: 32
- 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: 1000
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1622 | 1.44 | 200 | 0.4605 | 0.3455 |
| 0.1619 | 2.88 | 400 | 0.5327 | 0.3658 |
| 0.1566 | 4.32 | 600 | 0.5235 | 0.3834 |
| 0.246 | 5.76 | 800 | 0.5781 | 0.4329 |
| 0.3211 | 7.19 | 1000 | 0.6142 | 0.4535 |
| 0.2705 | 8.63 | 1200 | 0.6172 | 0.4519 |
| 0.2113 | 10.07 | 1400 | 0.6140 | 0.4111 |
| 0.2642 | 11.51 | 1600 | 0.6020 | 0.4527 |
| 0.2881 | 12.95 | 1800 | 0.5931 | 0.4393 |
| 0.1801 | 14.39 | 2000 | 0.6565 | 0.4262 |
| 0.1494 | 15.83 | 2200 | 0.5732 | 0.4003 |
| 0.1684 | 17.27 | 2400 | 0.6419 | 0.4071 |
| 0.1805 | 18.71 | 2600 | 0.5973 | 0.4005 |
| 0.1518 | 20.14 | 2800 | 0.5846 | 0.3821 |
| 0.0821 | 21.58 | 3000 | 0.6149 | 0.3764 |
| 0.1049 | 23.02 | 3200 | 0.5965 | 0.3724 |
| 0.1229 | 24.46 | 3400 | 0.6032 | 0.3671 |
| 0.0848 | 25.9 | 3600 | 0.6005 | 0.3605 |
| 0.0724 | 27.34 | 3800 | 0.6258 | 0.3634 |
| 0.1149 | 28.78 | 4000 | 0.6124 | 0.3502 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Sep 20, 2023
- Updated
- Sep 29, 2023