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--- |
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library_name: transformers |
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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: 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: 0.10619469026548672 |
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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: 2.6476 |
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- Accuracy: 0.1062 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.2 |
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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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| No log | 0.8276 | 3 | 2.6387 | 0.0531 | |
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| No log | 1.8276 | 6 | 2.6428 | 0.0265 | |
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| No log | 2.8276 | 9 | 2.6448 | 0.0619 | |
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| 2.837 | 3.8276 | 12 | 2.6436 | 0.0531 | |
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| 2.837 | 4.8276 | 15 | 2.6464 | 0.0619 | |
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| 2.837 | 5.8276 | 18 | 2.6462 | 0.0885 | |
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| 2.8278 | 6.8276 | 21 | 2.6466 | 0.0973 | |
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| 2.8278 | 7.8276 | 24 | 2.6465 | 0.1062 | |
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| 2.8278 | 8.8276 | 27 | 2.6471 | 0.1062 | |
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| 2.8242 | 9.8276 | 30 | 2.6476 | 0.1062 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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