Commit
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End of training
Browse files- README.md +72 -0
- pytorch_model.bin +1 -1
README.md
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---
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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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- acordes_completo
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metrics:
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- accuracy
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model-index:
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- name: distilhubert-finetuned-chorddetection2
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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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# distilhubert-finetuned-chorddetection2
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the ChordStimation2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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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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| 0.4498 | 1.0 | 3025 | 0.4276 | 0.9367 |
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| 0.0007 | 2.0 | 6050 | 0.0389 | 0.9899 |
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| 0.119 | 3.0 | 9075 | 0.0704 | 0.9863 |
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| 0.0 | 4.0 | 12100 | 0.0000 | 1.0 |
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| 0.0 | 5.0 | 15125 | 0.0000 | 1.0 |
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| 0.0 | 6.0 | 18150 | 0.0004 | 1.0 |
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| 0.0 | 7.0 | 21175 | 0.0009 | 0.9998 |
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| 0.0 | 8.0 | 24200 | 0.0000 | 1.0 |
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| 0.0 | 9.0 | 27225 | 0.0000 | 1.0 |
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| 0.0 | 10.0 | 30250 | 0.0000 | 1.0 |
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### Framework versions
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- Transformers 4.35.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 94822480
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version https://git-lfs.github.com/spec/v1
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size 94822480
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