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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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datasets: |
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- common_voice_1_0 |
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metrics: |
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- wer |
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model-index: |
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- name: finetuning2 |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: common_voice_1_0 |
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type: common_voice_1_0 |
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config: en |
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split: validation |
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args: en |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.4213759213759214 |
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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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# finetuning2 |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice_1_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6883 |
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- Wer: 0.4214 |
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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: 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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- mixed_precision_training: Native AMP |
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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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| 4.5277 | 4.27 | 500 | 2.8353 | 0.9863 | |
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| 1.2768 | 8.55 | 1000 | 0.7019 | 0.5581 | |
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| 0.4511 | 12.82 | 1500 | 0.6201 | 0.4726 | |
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| 0.2591 | 17.09 | 2000 | 0.6428 | 0.4469 | |
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| 0.1854 | 21.37 | 2500 | 0.6901 | 0.4388 | |
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| 0.1386 | 25.64 | 3000 | 0.6933 | 0.4259 | |
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| 0.111 | 29.91 | 3500 | 0.6883 | 0.4214 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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