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README.md ADDED
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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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+ - minds14
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: intent_classify
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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: minds14
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+ type: minds14
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+ config: en-US
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+ split: train
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+ args: en-US
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.02654867256637168
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+ ---
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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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+
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+ # intent_classify
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.6794
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+ - Accuracy: 0.0265
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.6388 | 0.98 | 14 | 2.6441 | 0.0619 |
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+ | 2.6348 | 1.96 | 28 | 2.6521 | 0.0973 |
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+ | 2.6138 | 2.95 | 42 | 2.6635 | 0.0708 |
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+ | 2.6282 | 4.0 | 57 | 2.6674 | 0.0708 |
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+ | 2.6106 | 4.98 | 71 | 2.6727 | 0.0531 |
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+ | 2.6046 | 5.96 | 85 | 2.6719 | 0.0531 |
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+ | 2.5935 | 6.95 | 99 | 2.6757 | 0.0442 |
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+ | 2.5884 | 8.0 | 114 | 2.6778 | 0.0265 |
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+ | 2.5791 | 8.98 | 128 | 2.6785 | 0.0265 |
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+ | 2.5789 | 9.82 | 140 | 2.6794 | 0.0265 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 2.1.2
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.2
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