End of training
Browse files- README.md +20 -26
- config.json +1 -53
- model.safetensors +2 -2
- runs/May04_13-00-27_seonjin-MS-7C94/events.out.tfevents.1714795237.seonjin-MS-7C94.36907.0 +3 -0
- training_args.bin +1 -1
README.md
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- accuracy
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model-index:
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- name: distilhubert-finetuned-
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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:
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type:
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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.
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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-
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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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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| 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
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config.json
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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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"13": "D",
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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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"21": "L",
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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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"26": "Q",
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"27": "R",
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"28": "S",
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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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"35": "Z",
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"4": "4",
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"5": "5",
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"6": "6",
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"6": "6",
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"8": "8",
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"A": "10",
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"B": "11",
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"C": "12",
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"D": "13",
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"E": "14",
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"F": "15",
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"G": "16",
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"H": "17",
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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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"2": "2",
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"3": "3",
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"4": "4",
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"6": "6",
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"6": "6",
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"7": "7",
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"8": "8",
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},
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.0,
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model.safetensors
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runs/May04_13-00-27_seonjin-MS-7C94/events.out.tfevents.1714795237.seonjin-MS-7C94.36907.0
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training_args.bin
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