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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- emotion |
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metrics: |
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- accuracy |
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model-index: |
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- name: xtremedistil-emotion |
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results: |
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- task: |
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type: text-classification |
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name: Text Classification |
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dataset: |
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name: emotion |
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type: emotion |
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args: default |
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metrics: |
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- type: accuracy |
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value: 0.9265 |
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name: Accuracy |
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- task: |
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type: text-classification |
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name: Text Classification |
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dataset: |
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name: emotion |
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type: emotion |
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config: default |
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split: test |
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metrics: |
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- type: accuracy |
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value: 0.926 |
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name: Accuracy |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzE3NDg5Y2ZkMDE5OTJmNjYwMTU1MDMwOTUwNTdkOWQ0MWNiZDYxYzUwNDBmNGVkOWU0OWE1MzRiNDYyZDI3NyIsInZlcnNpb24iOjF9.BaDj-FQ6g0cRk7n2MlN2YCb8Iv2VIM2wMwnJeeCTjG15b7TRRfZVtM3CM2WvHymahppscpiqgqPxT7JqkVXkAQ |
|
- type: precision |
|
value: 0.8855308537052737 |
|
name: Precision Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGQ3MDlmOTdmZTY3Mjc5MmE1ZmFlZTVhOWIxYjA3ZDRmNjM4YmYzNTVmZTYwNmI2OTRmYmE3NDMyOTIxM2RjOSIsInZlcnNpb24iOjF9.r1_TDJRi4RJfhVlFDe83mRtdhqt5KMtvran6qjzRrcwXqNz7prkocFmgNnntn-fqgg6AXgyi6lwVDcuj5L5VBA |
|
- type: precision |
|
value: 0.926 |
|
name: Precision Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzMzMzc4MWY1M2E5Y2M2ZTRiYTc2YzA5YzI4ZWM5MjgzMDgyNjZkMTVjZDYxZGJiMjI0NDdiMWU3ZWM5MjhjYSIsInZlcnNpb24iOjF9.741rqCRY5S8z_QodJ0PvcnccCN79fCE-MeNTEWFegI0oReneULyNOKRulxwxzwY5SN6ILm52xW7km5WJyt8MCg |
|
- type: precision |
|
value: 0.9281282413639949 |
|
name: Precision Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODVlOTM3ODVhMWM0MjU4Mzg2OGNkYjc2ZmExODYzOWIzYjdlYzE4OWE0ZWI4ZjcxMjJiMGJiMzdhN2RiNTdlNiIsInZlcnNpb24iOjF9.8-HhpgKNt3nTcblnes4KxzsD7Xot3C6Rldp4463H9gaUNBxHcH19mFcpaSaDT_L3mYqetcW891jyNrHoATzuAg |
|
- type: recall |
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value: 0.8969894921856228 |
|
name: Recall Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTkxYzZiMzY5YjA3ZjExYmNlNGI4N2Q5NTg0MTcxODgxOTc0MjdhM2FjODAzNjhiNDBjMWY2NWUyMjhhYjNiNSIsInZlcnNpb24iOjF9.t5YyyNtkbaGfLVbFIO15wh6o6BqBIXGTEBheffPax61-cZM0HRQg9BufcHFdZ4dvPd_V_AYWrXdarEm-gLSBBg |
|
- type: recall |
|
value: 0.926 |
|
name: Recall Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjAxMTUzMmI1YmMwYTBmYzFmM2E3Y2NiY2M4Njc4ZDc1ZWRhMTMyMDVhMWNiMGQ1ZDRiMjcwYmQ0MDAxZmI3NSIsInZlcnNpb24iOjF9.OphK_nR4EkaAUGMdZDq1rP_oBivfLHQhE7XY1HP9izhDd6rV5KobTrSdoxVCHGUtjOm1M6eZqI_1rPpunoCqDQ |
|
- type: recall |
|
value: 0.926 |
|
name: Recall Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGYxYWZlZmY1MWE4ZTU5YzlmZjA3MjVkZGFlMjk4NjFmMTIwZTNlMWU2ZWE1YWE3ZTc3MzI4NmJhYjM5Y2M5NCIsInZlcnNpb24iOjF9.zRx5GUnSb-T6E3s3NsWn1c1szm63jlB8XeqBUZ3J0m5H6P-QAPcVTaMVn8id-_IExS4g856-dT9YMq3pRh91DQ |
|
- type: f1 |
|
value: 0.8903400738742536 |
|
name: F1 Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzE1NDYxYTdiNjAwYzllZmY4ODc1ZTc1YjMyZjA4Njc1NDhjNDM5ZWNmOThjNzQ1MDE5ZDEyMTY0YTljZDcyMiIsInZlcnNpb24iOjF9.j4U3aOySF94GUF94YGA7DPjynVJ7wStBPu8uinEz_AjQFISv8YvHZOO--Kv2S4iKJPQNSGjmqP8jwtVEKt6-AA |
|
- type: f1 |
|
value: 0.926 |
|
name: F1 Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTFmYzdiM2FmZDIyMjkxZDk2NGFkMjU4OWJjYzQ1MTJkZThiMmMzYTUzZmJlNjNmYTFlOTRkMTZjODI2NDdiYyIsInZlcnNpb24iOjF9.VY3hvPQL588GY4j9cCJRj1GWZWsdgkRV1F5DKhckC74-w2qFK10zgqSEbb_uhOg3IYLcXev9f8dhIOVcOCPvDg |
|
- type: f1 |
|
value: 0.9265018282649476 |
|
name: F1 Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2MyNjM2OGMzYzg5ODFiOWI0ZTkxMDAxYTRkNDYwZWIyZGUyYzhhYTUwYWM4NzJhYTk3MGU2N2E5ZTcyNWExMyIsInZlcnNpb24iOjF9.p_7UeUdm-Qy6yfUlZA9EmtAKUzxhfkDTUMkzNRLJ3HD3aFHHwOo8jIY3lEZ-QkucT-jhofgbnQ-jR56HmB1JDw |
|
- type: loss |
|
value: 0.2258329838514328 |
|
name: loss |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTQwM2Y4NGI0MmQwMDkxMTBiYTdlYjkwNjdiMjVhMGZhOTk0Y2MwMmVlODg2YTczNzg1MGZiMDM2NzIyMzE5ZCIsInZlcnNpb24iOjF9.gCzWQrRm8UsOEcZvT_zC568FZmIcQf8G177IDQmxGVGg1vrOonfnPLX1_xlbcID4vDGeVuw5xYEpxXOAc19GDw |
|
--- |
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|
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# xtremedistil-emotion |
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This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on the emotion dataset. |
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It achieves the following results on the evaluation set: |
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- Accuracy: 0.9265 |
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|
|
|
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- num_epochs: 24 |
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|
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### Training results |
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<pre> |
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Epoch Training Loss Validation Loss Accuracy |
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1 No log 1.238589 0.609000 |
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2 No log 0.934423 0.714000 |
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3 No log 0.768701 0.742000 |
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4 1.074800 0.638208 0.805500 |
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5 1.074800 0.551363 0.851500 |
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6 1.074800 0.476291 0.875500 |
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7 1.074800 0.427313 0.883500 |
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8 0.531500 0.392633 0.886000 |
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9 0.531500 0.357979 0.892000 |
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10 0.531500 0.330304 0.899500 |
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11 0.531500 0.304529 0.907000 |
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12 0.337200 0.287447 0.918000 |
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13 0.337200 0.277067 0.921000 |
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14 0.337200 0.259483 0.921000 |
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15 0.337200 0.257564 0.916500 |
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16 0.246200 0.241970 0.919500 |
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17 0.246200 0.241537 0.921500 |
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18 0.246200 0.235705 0.924500 |
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19 0.246200 0.237325 0.920500 |
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20 0.201400 0.229699 0.923500 |
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21 0.201400 0.227426 0.923000 |
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22 0.201400 0.228554 0.924000 |
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23 0.201400 0.226941 0.925500 |
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24 0.184300 0.225816 0.926500 |
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</pre> |
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