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wev2vec-large960-agu-amharic
Gizachew/wev2vec-large960-agu-amharic
wev2vec-large960-agu-amharic is a machine learning model from Gizachew. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jun 16, 2024
- Updated
- Jun 16, 2024
- SHA
- d31d8ee8
Base models
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. -->
wev2vec-large960-agu-amharic
This model is a fine-tuned version of facebook/wav2vec2-large-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3286
- Accuracy: 0.9432
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4808 | 0.6649 | 500 | 0.4616 | 0.8655 |
| 0.2885 | 1.3298 | 1000 | 0.4095 | 0.9103 |
| 0.1774 | 1.9947 | 1500 | 0.3286 | 0.9432 |
| 0.1086 | 2.6596 | 2000 | 0.4424 | 0.9402 |
| 0.0949 | 3.3245 | 2500 | 0.4138 | 0.9402 |
| 0.0856 | 3.9894 | 3000 | 0.4155 | 0.9447 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jun 16, 2024
- Updated
- Jun 16, 2024