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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base-960h |
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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: 960h |
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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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# 960h |
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4593 |
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- Wer: 39.9917 |
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- Cer: 21.1881 |
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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: 5000 |
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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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| 4.9803 | 18.52 | 1000 | 2.7949 | 100.0 | 98.8206 | |
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| 1.1136 | 37.04 | 2000 | 1.2272 | 41.3621 | 21.5532 | |
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| 0.4547 | 55.56 | 3000 | 1.3323 | 41.2514 | 21.6285 | |
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| 0.2591 | 74.07 | 4000 | 1.3635 | 39.3688 | 20.8403 | |
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| 0.2232 | 92.59 | 5000 | 1.4593 | 39.9917 | 21.1881 | |
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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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