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End of training

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Files changed (4) hide show
  1. README.md +8 -6
  2. config.json +14 -10
  3. model.safetensors +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8369565217391305
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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
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.6682
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- - Accuracy: 0.8370
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  ## Model description
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@@ -61,14 +61,16 @@ 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: 2
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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 | 0.8696 | 5 | 0.6812 | 0.8370 |
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- | No log | 1.7391 | 10 | 0.6682 | 0.8370 |
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.7967479674796748
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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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  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: 0.8032
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+ - Accuracy: 0.7967
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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: 4
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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 | 0.9032 | 7 | 1.0528 | 0.7317 |
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+ | No log | 1.9355 | 15 | 0.9343 | 0.7724 |
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+ | No log | 2.9677 | 23 | 0.8097 | 0.7967 |
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+ | No log | 3.6129 | 28 | 0.8032 | 0.7967 |
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  ### Framework versions
config.json CHANGED
@@ -49,20 +49,24 @@
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  "hidden_dropout": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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- "0": "belly_pain",
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- "1": "burping",
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- "2": "discomfort",
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- "3": "hungry",
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- "4": "tired"
 
 
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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- "belly_pain": "0",
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- "burping": "1",
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- "discomfort": "2",
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- "hungry": "3",
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- "tired": "4"
 
 
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  },
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  "layer_norm_eps": 1e-05,
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  "layerdrop": 0.0,
 
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  "hidden_dropout": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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+ "0": "asphyxia",
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+ "1": "belly_pain",
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+ "2": "burping",
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+ "3": "discomfort",
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+ "4": "hungry",
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+ "5": "pain",
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+ "6": "tired"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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+ "asphyxia": "0",
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+ "belly_pain": "1",
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+ "burping": "2",
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+ "discomfort": "3",
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+ "hungry": "4",
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+ "pain": "5",
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+ "tired": "6"
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  },
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  "layer_norm_eps": 1e-05,
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  "layerdrop": 0.0,
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training_args.bin CHANGED
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