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wav2vec2-base-finetuned-ks
coolbirdv/wav2vec2-base-finetuned-ks
wav2vec2-base-finetuned-ks is a machine learning model from coolbirdv. 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
- Aug 9, 2024
- Updated
- Aug 15, 2024
- SHA
- 812ef921
Base models
Datasets
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. -->
<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>
wav2vec2-base-finetuned-ks
This model is a fine-tuned version of facebook/wav2vec2-base on the vivos dataset. It achieves the following results on the evaluation set:
- Loss: 4.0319
- Accuracy: 0.0145
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.9990 | 364 | 4.0319 | 0.0145 |
| 3.1633 | 1.9979 | 728 | 4.7572 | 0.0013 |
| 0.9306 | 2.9969 | 1092 | 5.4901 | 0.0 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.19.1
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 9, 2024
- Updated
- Aug 15, 2024