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hubert-large-ls960-ft
nrshoudi/hubert-large-ls960-ft
hubert-large-ls960-ft is a machine learning model from nrshoudi. 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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Updated Dec 6, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 6, 2023
- Updated
- Dec 6, 2023
- SHA
- 9927d8e8
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. -->
hubert-large-ls960-ft
This model is a fine-tuned version of facebook/hubert-large-ls960-ft on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4850
- Wer: 0.7884
- Per: 0.7945
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Per |
|---|---|---|---|---|---|
| 14.5096 | 1.0 | 1637 | 3.3563 | 1.0 | 1.0 |
| 3.3754 | 2.0 | 3274 | 3.3135 | 1.0 | 1.0 |
| 3.3037 | 3.0 | 4911 | 3.2654 | 1.0 | 1.0 |
| 3.2641 | 4.0 | 6548 | 3.2260 | 1.0 | 1.0 |
| 3.1723 | 5.0 | 8185 | 3.1158 | 0.9975 | 0.9980 |
| 3.0864 | 6.0 | 9822 | 3.0251 | 0.9105 | 0.9234 |
| 3.0205 | 7.0 | 11459 | 2.9357 | 0.8957 | 0.9068 |
| 2.9474 | 8.0 | 13096 | 2.8523 | 0.8456 | 0.8528 |
| 2.883 | 9.0 | 14733 | 2.7752 | 0.8260 | 0.8323 |
| 2.8246 | 10.0 | 16370 | 2.7173 | 0.8138 | 0.8202 |
| 2.7959 | 11.0 | 18007 | 2.6877 | 0.8074 | 0.8139 |
| 2.7595 | 12.0 | 19644 | 2.6459 | 0.8131 | 0.8224 |
| 2.7335 | 13.0 | 21281 | 2.6208 | 0.8050 | 0.8120 |
| 2.7014 | 14.0 | 22918 | 2.5800 | 0.7986 | 0.8054 |
| 2.6792 | 15.0 | 24555 | 2.5604 | 0.7989 | 0.8058 |
| 2.6539 | 16.0 | 26192 | 2.5289 | 0.7929 | 0.7985 |
| 2.6316 | 17.0 | 27829 | 2.5119 | 0.7943 | 0.8018 |
| 2.6212 | 18.0 | 29466 | 2.4965 | 0.7931 | 0.8005 |
| 2.6114 | 19.0 | 31103 | 2.4890 | 0.7894 | 0.7959 |
| 2.6028 | 20.0 | 32740 | 2.4850 | 0.7884 | 0.7945 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- License
- apache-2.0
- Created
- Dec 6, 2023
- Updated
- Dec 6, 2023