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End of training

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README.md CHANGED
@@ -4,36 +4,36 @@ 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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- - keystrokes
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  metrics:
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  - accuracy
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  model-index:
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- - name: distilhubert-finetuned-keystrokes
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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: Keystrokes
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- type: keystrokes
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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: 0.8166666666666667
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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-keystrokes
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- This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the Keystrokes dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7181
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- - Accuracy: 0.8167
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  ## Model description
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@@ -66,23 +66,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 3.5983 | 1.0 | 90 | 3.5852 | 0.0222 |
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- | 3.5626 | 2.0 | 180 | 3.5660 | 0.0611 |
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- | 3.4715 | 3.0 | 270 | 3.4570 | 0.1389 |
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- | 3.2677 | 4.0 | 360 | 3.2471 | 0.1333 |
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- | 2.9657 | 5.0 | 450 | 2.9947 | 0.1611 |
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- | 2.6551 | 6.0 | 540 | 2.6775 | 0.2444 |
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- | 2.242 | 7.0 | 630 | 2.4558 | 0.3167 |
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- | 2.0568 | 8.0 | 720 | 2.2080 | 0.4056 |
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- | 1.7768 | 9.0 | 810 | 1.9429 | 0.4778 |
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- | 1.469 | 10.0 | 900 | 1.7575 | 0.5667 |
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- | 1.3248 | 11.0 | 990 | 1.5350 | 0.65 |
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- | 1.0743 | 12.0 | 1080 | 1.2988 | 0.7056 |
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- | 0.8069 | 13.0 | 1170 | 1.1337 | 0.75 |
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- | 0.663 | 14.0 | 1260 | 1.0212 | 0.7833 |
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- | 0.4661 | 15.0 | 1350 | 0.8676 | 0.8556 |
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- | 0.3163 | 16.0 | 1440 | 0.8101 | 0.7778 |
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- | 0.1839 | 17.0 | 1530 | 0.7181 | 0.8167 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - mechanicalkeystrokes
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  metrics:
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  - accuracy
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  model-index:
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+ - name: distilhubert-finetuned-mechanicalkeystrokes
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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: MechanicalKeystrokes
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+ type: mechanicalkeystrokes
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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: 0.9666666666666667
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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-mechanicalkeystrokes
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+ This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the MechanicalKeystrokes dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1155
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+ - Accuracy: 0.9667
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.2923 | 1.0 | 30 | 2.3063 | 0.0333 |
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+ | 2.2788 | 2.0 | 60 | 2.2863 | 0.1333 |
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+ | 2.1377 | 3.0 | 90 | 2.1583 | 0.35 |
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+ | 1.8769 | 4.0 | 120 | 1.8170 | 0.6167 |
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+ | 1.5083 | 5.0 | 150 | 1.4282 | 0.7833 |
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+ | 1.0911 | 6.0 | 180 | 1.0241 | 0.9333 |
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+ | 0.7235 | 7.0 | 210 | 0.7131 | 0.9667 |
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+ | 0.4517 | 8.0 | 240 | 0.4509 | 0.9667 |
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+ | 0.2529 | 9.0 | 270 | 0.2682 | 0.9833 |
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+ | 0.14 | 10.0 | 300 | 0.1799 | 0.9833 |
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+ | 0.0791 | 11.0 | 330 | 0.1155 | 0.9667 |
 
 
 
 
 
 
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  ### Framework versions
config.json CHANGED
@@ -51,34 +51,8 @@
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  "id2label": {
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  "0": "0",
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  "1": "1",
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- "10": "A",
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- "11": "B",
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- "12": "C",
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- "14": "E",
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- "15": "F",
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- "16": "G",
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- "17": "H",
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- "18": "I",
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- "19": "J",
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  "2": "2",
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- "20": "K",
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- "22": "M",
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- "23": "N",
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- "24": "O",
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- "25": "P",
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- "29": "T",
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  "3": "3",
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- "30": "U",
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- "31": "V",
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- "32": "W",
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- "33": "X",
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- "34": "Y",
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  "4": "4",
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  "5": "5",
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  "6": "6",
@@ -98,33 +72,7 @@
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  "6": "6",
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  "7": "7",
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  "8": "8",
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- "9": "9",
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- "A": "10",
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- "I": "18",
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- "J": "19",
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- "K": "20",
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- "L": "21",
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- "M": "22",
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- "N": "23",
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- "O": "24",
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- "P": "25",
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- "Q": "26",
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- "R": "27",
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- "S": "28",
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- "T": "29",
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- "U": "30",
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- "V": "31",
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- "W": "32",
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- "X": "33",
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- "Y": "34",
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- "Z": "35"
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  },
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  "layer_norm_eps": 1e-05,
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  "layerdrop": 0.0,
 
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  "id2label": {
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  "0": "0",
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  "1": "1",
 
 
 
 
 
 
 
 
 
 
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  "6": "6",
 
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  "7": "7",
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  "8": "8",
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+ "9": "9"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  },
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  "layer_norm_eps": 1e-05,
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  "layerdrop": 0.0,
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