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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: my_awesome_mind_model |
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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: all |
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split: train |
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args: all |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.19461444308445533 |
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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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# my_awesome_mind_model |
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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: 2.3185 |
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- Accuracy: 0.1946 |
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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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| 2.5962 | 1.0 | 51 | 2.5963 | 0.1346 | |
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| 2.4773 | 1.99 | 102 | 2.4556 | 0.1561 | |
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| 2.4457 | 2.99 | 153 | 2.4258 | 0.1695 | |
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| 2.3907 | 4.0 | 205 | 2.4256 | 0.1622 | |
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| 2.3532 | 5.0 | 256 | 2.3852 | 0.1756 | |
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| 2.3148 | 5.99 | 307 | 2.3579 | 0.1836 | |
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| 2.3114 | 6.99 | 358 | 2.3570 | 0.1848 | |
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| 2.2891 | 8.0 | 410 | 2.3377 | 0.1848 | |
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| 2.2785 | 9.0 | 461 | 2.3202 | 0.1909 | |
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| 2.269 | 9.95 | 510 | 2.3185 | 0.1946 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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