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--- |
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license: apache-2.0 |
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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 |
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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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# my_awesome_mind |
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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: 2.6391 |
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- Accuracy: 0.0885 |
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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: 100 |
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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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| 3.2283 | 11.53 | 35 | 2.6432 | 0.1062 | |
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| 3.4248 | 23.27 | 70 | 2.6394 | 0.0973 | |
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| 3.4245 | 34.8 | 105 | 2.6404 | 0.0442 | |
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| 3.2245 | 46.53 | 140 | 2.6405 | 0.0531 | |
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| 3.2287 | 58.27 | 175 | 2.6416 | 0.0796 | |
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| 3.2289 | 69.8 | 210 | 2.6424 | 0.0973 | |
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| 3.2252 | 81.53 | 245 | 2.6396 | 0.1062 | |
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| 3.424 | 93.27 | 280 | 2.6391 | 0.0885 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.13.1 |
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- Datasets 2.15.0 |
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- Tokenizers 0.10.3 |
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