Model save
Browse files- README.md +78 -0
- model.safetensors +1 -1
README.md
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---
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license: bsd-3-clause
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base_model: MIT/ast-finetuned-audioset-10-10-0.4593
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: SeizureClassifier_AST_B_43829950
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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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# SeizureClassifier_AST_B_43829950
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This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0063
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- Accuracy: 1.0
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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: 15
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- mixed_precision_training: Native AMP
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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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| 1.269 | 0.99 | 44 | 1.1676 | 0.8564 |
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| 0.7525 | 1.99 | 88 | 0.5446 | 0.9777 |
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| 0.3005 | 2.98 | 132 | 0.2273 | 0.9876 |
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| 0.185 | 4.0 | 177 | 0.1556 | 0.9653 |
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| 0.0935 | 4.99 | 221 | 0.0798 | 0.9901 |
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| 0.0545 | 5.99 | 265 | 0.0313 | 0.9950 |
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| 0.0416 | 6.98 | 309 | 0.0278 | 0.9950 |
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| 0.0264 | 8.0 | 354 | 0.0682 | 0.9851 |
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| 0.0109 | 8.99 | 398 | 0.0311 | 0.9950 |
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| 0.0104 | 9.99 | 442 | 0.0085 | 1.0 |
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| 0.0083 | 10.98 | 486 | 0.0143 | 0.9975 |
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| 0.0067 | 12.0 | 531 | 0.0070 | 1.0 |
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| 0.0063 | 12.99 | 575 | 0.0066 | 1.0 |
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| 0.006 | 13.99 | 619 | 0.0064 | 1.0 |
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| 0.0059 | 14.92 | 660 | 0.0063 | 1.0 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 344796192
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version https://git-lfs.github.com/spec/v1
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oid sha256:82299553178371e609419a095cee081f7bad808d5890353c4b72a0df296fadae
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size 344796192
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