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--- |
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license: apache-2.0 |
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base_model: SpeechFlow/spoken_language_identification |
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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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model-index: |
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- name: AudioClassification |
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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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# AudioClassification |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9903 |
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- Accuracy: 0.35 |
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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: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 10 |
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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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| 0.6783 | 0.98 | 11 | 1.0771 | 0.21 | |
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| 0.6614 | 1.96 | 22 | 0.9514 | 0.25 | |
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| 0.6628 | 2.93 | 33 | 0.9843 | 0.28 | |
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| 0.6629 | 4.0 | 45 | 1.0408 | 0.27 | |
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| 0.6583 | 4.98 | 56 | 1.0061 | 0.29 | |
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| 0.6623 | 5.96 | 67 | 1.0227 | 0.31 | |
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| 0.6613 | 6.93 | 78 | 1.0398 | 0.30 | |
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| 0.6635 | 8.0 | 90 | 1.0085 | 0.29 | |
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| 0.6577 | 8.98 | 101 | 0.9842 | 0.34 | |
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| 0.6629 | 9.78 | 110 | 0.9903 | 0.35 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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