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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: ft_wav2vec2_base_thirty |
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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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# ft_wav2vec2_base_thirty |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6535 |
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- Wer: 32.0197 |
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- Cer: 14.4551 |
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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: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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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: 2000 |
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- training_steps: 2700 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 4.2536 | 1.75 | 500 | 3.0201 | 99.9919 | 99.8547 | |
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| 2.7796 | 3.51 | 1000 | 1.8276 | 90.7584 | 46.9070 | |
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| 0.9842 | 5.26 | 1500 | 0.7994 | 43.5201 | 19.4787 | |
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| 0.595 | 7.02 | 2000 | 0.7414 | 37.7699 | 17.0733 | |
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| 0.4215 | 8.77 | 2500 | 0.6535 | 32.0197 | 14.4551 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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