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dsap
RAF3197/dsap
dsap is a machine learning model from RAF3197. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Nov 21, 2024
- Updated
- Nov 21, 2024
- SHA
- 2ebaff4b
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-timit-demo-google-colab
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: 1.6465
- Wer: 1.0059
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.7174 | 1.61 | 100 | 4.0945 | 1.0 |
| 3.1274 | 3.22 | 200 | 3.1839 | 1.0 |
| 2.9894 | 4.84 | 300 | 3.0564 | 1.0 |
| 2.9373 | 6.45 | 400 | 2.9930 | 1.0 |
| 2.7604 | 8.06 | 500 | 2.5176 | 1.0 |
| 2.0284 | 9.67 | 600 | 1.6465 | 1.0059 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.5.1+cu118
- Datasets 1.18.3
- Tokenizers 0.20.3
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Nov 21, 2024
- Updated
- Nov 21, 2024