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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- superb
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model-index:
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- name: Hubert-base-superb
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Hubert-base-superb
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the superb dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6712
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- Wer: 0.4781
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 250
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- num_epochs: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.7884 | 0.8 | 500 | 0.8900 | 0.6940 |
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| 0.6603 | 1.6 | 1000 | 0.7378 | 0.6103 |
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| 0.5401 | 2.4 | 1500 | 0.7107 | 0.5762 |
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| 0.4604 | 3.2 | 2000 | 0.6563 | 0.5320 |
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| 0.3936 | 4.0 | 2500 | 0.6315 | 0.5244 |
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| 0.3186 | 4.8 | 3000 | 0.6525 | 0.5007 |
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| 0.2727 | 5.6 | 3500 | 0.6553 | 0.4855 |
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| 0.2296 | 6.4 | 4000 | 0.6712 | 0.4781 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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