End of training
Browse files- README.md +3 -30
- config.json +2 -2
- model.safetensors +1 -1
- runs/Aug07_20-50-52_DesMar/events.out.tfevents.1723056652.DesMar.10712.0 +3 -0
- training_args.bin +1 -1
README.md
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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-cry-detector
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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: 0.8876404494382022
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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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# distilhubert-finetuned-cry-detector
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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: 0.4928
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- Accuracy: 0.8876
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## Model description
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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: cosine
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- num_epochs:
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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.
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| No log | 1.9775 | 22 | 1.0485 | 0.7022 |
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| No log | 2.9663 | 33 | 0.8464 | 0.8258 |
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| No log | 3.9551 | 44 | 0.6916 | 0.8596 |
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| No log | 4.9438 | 55 | 0.6074 | 0.8596 |
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| No log | 5.9326 | 66 | 0.5557 | 0.8708 |
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| No log | 6.9213 | 77 | 0.5206 | 0.8764 |
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| No log | 8.0 | 89 | 0.4942 | 0.8876 |
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| No log | 8.9888 | 100 | 0.4945 | 0.8876 |
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| No log | 9.8876 | 110 | 0.4928 | 0.8876 |
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### Framework versions
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- generated_from_trainer
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datasets:
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- audiofolder
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model-index:
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- name: distilhubert-finetuned-cry-detector
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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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# distilhubert-finetuned-cry-detector
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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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## Model description
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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: cosine
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- num_epochs: 1
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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 | 0.9565 | 11 | 1.6647 | 0.5355 |
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### Framework versions
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config.json
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"hidden_size": 768,
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"id2label": {
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"0": "Baby laugh",
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"1": "
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"2": "Noise",
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"3": "Silence",
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"4": "belly_pain",
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"intermediate_size": 3072,
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"label2id": {
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"Baby laugh": "0",
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"
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"Noise": "2",
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"Silence": "3",
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"belly_pain": "4",
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"hidden_size": 768,
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"id2label": {
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"0": "Baby laugh",
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"1": "Cry_Baby",
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"2": "Noise",
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"3": "Silence",
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"4": "belly_pain",
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"intermediate_size": 3072,
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"label2id": {
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"Baby laugh": "0",
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"Cry_Baby": "1",
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"Noise": "2",
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"Silence": "3",
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"belly_pain": "4",
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model.safetensors
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runs/Aug07_20-50-52_DesMar/events.out.tfevents.1723056652.DesMar.10712.0
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training_args.bin
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