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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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- accuracy |
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- f1 |
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model-index: |
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- name: wav2vec2_capstone |
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results: [] |
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datasets: |
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- mozilla-foundation/common_voice_16_1 |
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language: |
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- en |
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- ca |
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- rw |
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- be |
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- eo |
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- de |
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- fr |
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- ka |
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- es |
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- lg |
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- sw |
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- fa |
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- it |
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- mh |
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- zh |
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- ba |
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- ta |
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- ru |
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- eu |
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- th |
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- pt |
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- pl |
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- ja |
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pipeline_tag: audio-classification |
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--- |
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# WAV2VEC2_CAPSTONE_MODEL |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on a subset of the common_voice_16_1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3952 |
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- Accuracy: 0.9098 |
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- F1 score: 0.9097 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 80 |
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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_ratio: 0.1 |
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- num_epochs: 8 |
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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 | Accuracy | F1 score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| 0.9339 | 1.0 | 776 | 1.4214 | 0.7162 | 0.7094 | |
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| 0.5663 | 2.0 | 1552 | 1.0182 | 0.8318 | 0.8277 | |
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| 0.4408 | 3.0 | 2328 | 0.6117 | 0.8795 | 0.8784 | |
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| 0.3521 | 4.0 | 3105 | 0.5092 | 0.8998 | 0.9001 | |
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| 0.2305 | 5.0 | 3881 | 0.3896 | 0.9004 | 0.9013 | |
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| 0.1219 | 6.0 | 4657 | 0.3096 | 0.9196 | 0.9194 | |
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| 0.0672 | 6.99 | 3591 | 0.3952 | 0.9098 | 0.9097 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
