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--- |
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license: apache-2.0 |
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base_model: OthmaneJ/distil-wav2vec2 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- OthmaneJ/distil-wav2vec2 |
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metrics: |
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- accuracy |
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model-index: |
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- name: distil-wav2vec2-finetuned-giga-speech |
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results: |
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- task: |
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name: Audio Classification |
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type: audio-classification |
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dataset: |
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name: Giga Speech |
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type: OthmaneJ/distil-wav2vec2 |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.46 |
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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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# distil-wav2vec2-finetuned-giga-speech |
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This model is a fine-tuned version of [OthmaneJ/distil-wav2vec2](https://huggingface.co/OthmaneJ/distil-wav2vec2) on the Giga Speech dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6843 |
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- Accuracy: 0.46 |
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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: 5e-05 |
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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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- 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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.2474 | 1.0 | 113 | 2.1219 | 0.28 | |
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| 2.1323 | 2.0 | 226 | 1.9120 | 0.28 | |
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| 1.8539 | 3.0 | 339 | 1.7446 | 0.42 | |
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| 1.831 | 4.0 | 452 | 1.6843 | 0.46 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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