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--- |
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license: apache-2.0 |
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base_model: St4n/wav2vec2-base-960h-demo-google-colab |
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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: wav2vec2-fine-tuning-960h-demo-google-colab |
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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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# wav2vec2-fine-tuning-960h-demo-google-colab |
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This model is a fine-tuned version of [St4n/wav2vec2-base-960h-demo-google-colab](https://huggingface.co/St4n/wav2vec2-base-960h-demo-google-colab) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6643 |
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- Wer: 0.9985 |
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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: 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: 1000 |
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- num_epochs: 30 |
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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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| 0.8048 | 5.81 | 500 | 0.5176 | 1.0 | |
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| 0.353 | 11.63 | 1000 | 0.5259 | 1.0 | |
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| 0.2843 | 17.44 | 1500 | 0.5725 | 0.9985 | |
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| 0.3374 | 23.26 | 2000 | 0.6190 | 0.9985 | |
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| 0.1625 | 29.07 | 2500 | 0.6643 | 0.9985 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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