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End of training
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README.md
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---
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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# model2024-05-22
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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license: apache-2.0
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base_model: ntu-spml/distilhubert
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9619219277734476
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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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# model2024-05-22
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1213
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- Accuracy: 0.9619
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.1677 | 1.0 | 481 | 0.1836 | 0.9435 |
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| 0.1544 | 2.0 | 962 | 0.1485 | 0.9512 |
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| 0.1404 | 3.0 | 1443 | 0.1452 | 0.9528 |
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| 0.1366 | 4.0 | 1925 | 0.1295 | 0.9587 |
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| 0.1079 | 5.0 | 2405 | 0.1213 | 0.9619 |
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### Framework versions
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