Model save
Browse files- README.md +86 -0
- model.safetensors +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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- audiofolder
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metrics:
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- accuracy
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model-index:
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- name: distilhubert-finetuned-RHD_Dataset
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: audiofolder
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type: audiofolder
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config: default
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split: train
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8048780487804879
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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-RHD_Dataset
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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: 0.9447
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- Accuracy: 0.8049
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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: 0.0001
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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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- 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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| 1.0412 | 1.0 | 46 | 1.0084 | 0.6829 |
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| 0.8547 | 2.0 | 92 | 0.8433 | 0.6585 |
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| 0.7936 | 3.0 | 138 | 0.7128 | 0.7073 |
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| 0.5984 | 4.0 | 184 | 0.7778 | 0.7317 |
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| 0.3888 | 5.0 | 230 | 0.6361 | 0.7317 |
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| 0.4947 | 6.0 | 276 | 0.7471 | 0.7805 |
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| 0.1663 | 7.0 | 322 | 0.8244 | 0.7561 |
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| 0.1379 | 8.0 | 368 | 0.7986 | 0.8049 |
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| 0.0405 | 9.0 | 414 | 0.8892 | 0.8049 |
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| 0.0229 | 10.0 | 460 | 0.9447 | 0.8049 |
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### Framework versions
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- Transformers 4.36.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
CHANGED
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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 94766588
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version https://git-lfs.github.com/spec/v1
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oid sha256:b564734bb8cf34e38d959713fe4392219971da20531ad8e88be9e1a630b3adf1
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size 94766588
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