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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_mind_model |
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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_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: 2.6450 |
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- Accuracy: 0.0929 |
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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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| No log | 0.73 | 2 | 2.6408 | 0.0752 | |
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| No log | 1.82 | 5 | 2.6441 | 0.0619 | |
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| No log | 2.91 | 8 | 2.6435 | 0.0973 | |
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| 2.6293 | 4.0 | 11 | 2.6446 | 0.0885 | |
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| 2.6293 | 4.73 | 13 | 2.6449 | 0.0841 | |
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| 2.6293 | 5.82 | 16 | 2.6463 | 0.0841 | |
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| 2.6293 | 6.91 | 19 | 2.6452 | 0.0885 | |
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| 2.6177 | 7.27 | 20 | 2.6450 | 0.0929 | |
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### Framework versions |
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- Transformers 4.27.2 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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