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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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duplicated_from: autoevaluate/multi-class-classification |
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model-index: |
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- name: autoevaluate/multi-class-classification-not-evaluated |
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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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config: default |
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split: test |
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metrics: |
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- type: accuracy |
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value: 0.9185 |
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name: Accuracy |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWNlMDZhOGI5MDA4YThiNGZkNjUyYThjMDk2YTNkZWZiMGE2ZTE0ZGQ4MzI3YmZjMWFlMDYyZTU5OWI3NjBjMSIsInZlcnNpb24iOjF9.CPH2GRSfdEWKe3NeWvDImlVIBvolD8MfRVyVeHzzMhGch_PqGCEkwm3evoOhLRMdFU0HZji9UXTDiX-VXvYUCQ |
|
- type: f1 |
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value: 0.8692821860210945 |
|
name: F1 Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmYzZTI3MjBhMmQzYWU2OWYzZTUyYmYyOWVlMGFiZDhlZDU4MWU3YjJjZGEyZmMyN2RkNWI4OTkwZTdhZjY4NCIsInZlcnNpb24iOjF9.Xm7fZhE_zTU1wB475IlmP6KpAW9bmLNxxgTuRdzhe8o7NCWRWywDUZfbkhLnbHJxW4k8OjPDzqJJf6g3Urg5DQ |
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- type: f1 |
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value: 0.9185 |
|
name: F1 Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODNhNDUwYmYzNDkzNTE2ZjU5YWI3ZDBiM2E4NmM3YTM4OWY2YjJlNWMxNmM2YTk0NmJlNTAzM2IxYmEyODNlNSIsInZlcnNpb24iOjF9.gokzgE9dEIobZWVcvMK3uhW3fbxqy8rc7TLaRhiCUezqbVzW-2LLkiBHzmJePwEj11cDTCJiOaSoK5kC2nlJAw |
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- type: f1 |
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value: 0.9181177508591364 |
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name: F1 Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGU5MThhMWRlZmRhZjUwZjczYzg0M2E4ZjBjZTZmNWY0NDU0NDg5Mzg1NWZmMWYyMDAzMmQ5OTdhYjE5MTgyNyIsInZlcnNpb24iOjF9.1xABG8F5u5pB311Z5SSN6fS_0_xKulMcFNEeVH2yAJ1e7MwX6Llz71q5lzlQcoO2ihNuBataAKhj4xNGZDLSAA |
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- type: precision |
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value: 0.8738350796775306 |
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name: Precision Macro |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWY3ZTQxYzRlMTZiOGVjMDllYmQwOTJlZWNjYTdhN2U5ZTcwNmI3MTVjMjcwNGJkYTVkOTNhZmQ1MDE3ZGEzYyIsInZlcnNpb24iOjF9.J6yiomm6SSj1T4lT0cwCvKUC0lGzCACtKl4FvwPQ7qgC6Vas-oZsnkw2N7t2YZztSRLYfvr926PpC7P88sCABA |
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- type: precision |
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value: 0.9185 |
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name: Precision Micro |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjY4YTU5NjE4MjNlNmEzOWI4MzdhYTFlMDY4NjY0ODI1Y2UyZjM5ODRmYzE3ZjJiMzdjZWE3YjJkZWUxNTZiZCIsInZlcnNpb24iOjF9.6Is3-2UY4H6VNNl9y7D_mZGvwX1KfZLfn9zQ2-yksCmSyYxzqkX0KJ2rNilG6e3iq9f8rfwp_LU68cW8cYkWBg |
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- type: precision |
|
value: 0.9179425177997311 |
|
name: Precision Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODMzZThhOTY2ZWRjNmZjMTg1MGIzZjg0ZWZjZDIyZDc1M2RhZTFjZTE5ZDdmNjg1NTQ5M2EzMzBmYTBmZTc0YyIsInZlcnNpb24iOjF9.7FZIy3iqHQEjfXowTLo70uyDvoX2LTJxujF4yKfcPEJQJfUE6l81IZVXW0I9aA8ybPRhUAF-AcDESg4F3_4iBw |
|
- type: recall |
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value: 0.8650962919021573 |
|
name: Recall Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmRmNGExZjhhNzk5NGEyM2Q0ZjNjMWY0N2JjMjYyYjcwNmVmYzBlZjc0NDAyZmVkMTExY2Q1YWJlOWY5NDM5NCIsInZlcnNpb24iOjF9.wtquAcG7b1TRtzr0i6Hxp0jLKvzIUdlSGD5KHXmIs9ETws_0WnxWUCnRgsKHnqn1eaLq3VAKHjh8L2DC8uz6AA |
|
- type: recall |
|
value: 0.9185 |
|
name: Recall Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGNmNTRmYTYwOTYyMGE4ODA3MDRhOGRmOTAxYmQyNTUzMzg4MDc5NDljZDRkMWU4YjFhNGRkZTYwZWU1NjA0ZiIsInZlcnNpb24iOjF9.AGMYerLFebSy28Fc1N1c-zWIKNiWQRXYUlXUkugKyHPLjRFi368E_yvhZ82MhFgftpXPuRvawbRf3qMbC3u6Ag |
|
- type: recall |
|
value: 0.9185 |
|
name: Recall Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTU1ODk4M2M3MThmNjE1ZTNjOWFlNWQ5MGU5OWQ3YjEzZmI0ZDY1MzNhMGFhMTgyYTIzZDRkNzI1MDZjNjg1ZCIsInZlcnNpb24iOjF9.qAuYR2tT7Qsn5f6vZif0S2SajuICcIH5rQQ2Np7ISqJsOW15EMQuFP38A4VmGUeJbhGMweNymanoayKeL5wOCA |
|
- type: loss |
|
value: 0.20907790958881378 |
|
name: loss |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTc2ZDI3MjJiMmQyYjU3ZTI3ODY3YjlhZDI3NjYxNzIzMTNhY2Y5NWQ5ZWJiZTMwMjEzNGMwNGIyYzdhNmVhNCIsInZlcnNpb24iOjF9.uRPycZKatfwTpGEwV_P4zqvUX46b8nnK00GnEhjzSs_AVQ08AybYNFWtrZIR3QrE1QxmwvnmgWg1yLD8daqqCg |
|
- type: matthews_correlation |
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value: 0.8920254536671932 |
|
name: matthews_correlation |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTEyMDMzM2IwNjdhZGI4NTdmNWM4Y2E3ZDIzMGRlZjY1NjU4YzhhNWE3NzQxMmY4MmNkYTg4NDliYzg1NTJkZCIsInZlcnNpb24iOjF9.qf0k31A_Gnrq742IInObfr3xGQtAhFtmkMJRTO8GDimKyaSQHtY6UrKUM2LWf9wIYKjN70XIA34m749fD1udAQ |
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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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# multi-class-classification |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co./distilbert-base-uncased) on the emotion dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2009 |
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- Accuracy: 0.928 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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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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| 0.2643 | 1.0 | 1000 | 0.2009 | 0.928 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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