Marcos12886 commited on
Commit
5968383
1 Parent(s): ab939e0

End of training

Browse files
README.md CHANGED
@@ -5,24 +5,9 @@ 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-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
@@ -31,9 +16,6 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -60,22 +42,13 @@ The following hyperparameters were used during training:
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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: 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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- | No log | 0.9888 | 11 | 1.3978 | 0.5899 |
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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
config.json CHANGED
@@ -50,7 +50,7 @@
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  "hidden_size": 768,
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  "id2label": {
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  "0": "Baby laugh",
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- "1": "Crying baby",
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  "2": "Noise",
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  "3": "Silence",
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  "4": "belly_pain",
@@ -63,7 +63,7 @@
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  "intermediate_size": 3072,
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  "label2id": {
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  "Baby laugh": "0",
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- "Crying 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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  "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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