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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: autoevaluate/multi-class-classification |
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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.eyJoYXNoIjoiZDNlY2I5ZTZkOTBmMTQwMjA0ZTFhYzE4NTdiZGIzYmNiOTkyMjBjMDY0MDJhNGY4ZTBiMGJiZjdhNzk3ODFkZCIsInZlcnNpb24iOjF9.JQbXPplJfzTCXHZrnbQLcSKZJrxvqYQh-BlpYlVMsWL6SSAKAlCb7Srqeoxr6u7byLm7QtufHYUKda7b1dKECw |
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- type: f1 |
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value: 0.8692821860210945 |
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name: F1 Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTU0YzdlZWJlYjM0MzIyZTMzZWJhZjIzZWVhMzc2NmJkMGJlNTU4YzJjOTQ1NjU5OTI3OGNiZDhhZDE1ZWFhYyIsInZlcnNpb24iOjF9.KxhL3gFTS8RpZNVwLbRzig_xLowmnCOjlMnwIP45Dyq62KafQk4ID3-lTH5J7tf0vRx10wICBSMBARDERy9vAw |
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- type: f1 |
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value: 0.9185 |
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name: F1 Micro |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTM0OTVlOTE2OGRjODllOWE5MGYzYWIwODhjZjVhNWRjNDQwMmFiMTA3ODNmMzE3NGJmOGU5YmNjMmY0ZWMyNyIsInZlcnNpb24iOjF9.1k1PYE543xvSrIKxGX053X78iZigwvhs8skFlTmC2gfNkPs0dKW7gtf8Xzk-V9yZHnjUkiyu4H_ZnU2WwdNtAg |
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- type: f1 |
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value: 0.9181177508591364 |
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name: F1 Weighted |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjQxYmFhMzQ1NmM4OTQxYzg5MGYyZDgyNDgzYzQ4ZTY4ZWRmYWNlOTQyNjk3MTljMTdlNzc0YzI1YmEwZGQ5YyIsInZlcnNpb24iOjF9.tFzvcpez6mjSFyWZlgk1_9c_QyasGvQ_hXCTUqzMUdiO7Pof465IBmbKCqPDnEweTcypa1jD4ecvcoPzx-G0BA |
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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.eyJoYXNoIjoiNTdhMDg2NmU3NDJlNWYwODFiNWZjOWU4NWM5NDc1NjEzMjQ0NjUxZjY1ZDM1OTQ1NzU4YTMyNTA3NTFhMWFlNiIsInZlcnNpb24iOjF9.RVUwjBs1FYBweEboY_kTcCssf3rVLbtQIjZnCQmhBJnCbYyZW6KTCKbt3qiw-FyzjX5P-fkK2GbwpTkipwhGDA |
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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 |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjJlOTJmMjA5MGEwODAwMjVkMTMzMWIyNmZlOThlMDc3MmRmYWM5YzI4MTI0Y2E5MDEyMTdkMGYzOGRmMjRhMiIsInZlcnNpb24iOjF9.ttqgrykUq1R10Plm1Tqiol_kYaOTZnyKPEJaqE6l58OT7kyjgmgk2XpdU1f_ZaK9Fvj7IYfy8ew9vJPZ3fc7Aw |
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- type: precision |
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value: 0.9179425177997311 |
|
name: Precision Weighted |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmM5MjlmMmUwZWM3NjAzZjI0NDhkMTY2NTY0NmJkMWNmYzU2MTA5NTlhZmU0OTI2N2MzZTdhYzU0YTVmMmYyOCIsInZlcnNpb24iOjF9.sOOwCp7-K68hCODiHT50Q4iUlEp_QMp13ZPOVK0B7uvePYIUEenp3BERuda-aiK0tJwaSuq428j83mC8EdqsCQ |
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- type: recall |
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value: 0.8650962919021573 |
|
name: Recall Macro |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzlhNmNjZjcyOGM4MmRmN2IxZDExYmFjNzYzYzY4ODMwNmFjNDhjMDVmZmYwZjkzMzQ3ZjgzNmUyODk1YTUyYyIsInZlcnNpb24iOjF9.MkiPaQI1_TjuuPto3KwXhlT3u2wwgO6fg1w_EPV2T74PwdiRsVt11alXTJXgq8hmanrBYnWypk5VzC9OmXZXCw |
|
- type: recall |
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value: 0.9185 |
|
name: Recall Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzg0OTQwZWNiMGE2YjA5NThjYTRhMjE5NTNmMmMwNzY0NTY5YWRlZTVhMjZhYmYwOWFiNmQ1YzQxY2E1ZDVmMSIsInZlcnNpb24iOjF9.LM2xWXrJAJdgLJ7HyUH45bkDmB2NrNeX1HSffw5igtoMd7DFsdVrvNEDDfePiW2YQPlA1tZsxDq9Evsj38erBw |
|
- type: recall |
|
value: 0.9185 |
|
name: Recall Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzU3NGU0OTIxZjIwMzc3ODM4YzFiYjEwMjFlNDI4MmU3NDI5NDQwZjNlYzU3ZmNjZDVkNDdjMWIzZjBjZjdiNiIsInZlcnNpb24iOjF9.oza0-N-cJ1nwb2NhFAHqXIpfBLKPOWNJT8yyhrYscxgx_FKCRhv5Czl1HCgOd9pkWceBpVwsgxMCYiVEpQoMAw |
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- type: loss |
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value: 0.20907790958881378 |
|
name: loss |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGRiMzI4MDlhYTYwNWM0Yjk4MjAxNDY0NTEyNGUyOWE5NmFjZGM1YWFiMGQ0Yjg1YmVjZDVjY2EyMzBmZGI0YSIsInZlcnNpb24iOjF9.37MscN7wz25jU_rcAEK33oRAJl_jc-zRRCTn9acgxL6kCf__bV_YpvrvDdnT2ArAVv9m3DyRIOpwYFkDj4EUBQ |
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- type: matthews_correlation |
|
value: 0.8920254536671932 |
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name: matthews_correlation |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDI5MmU2ZjIxZjU0NDU1NDRhMzg1ODI5OGRiOWQ1NGY4YTNjM2JkYTA4ZTY1OTdiMmE2NzFlZTg2NmQyYmRhNSIsInZlcnNpb24iOjF9.jvK80B05dMGBklqPq0Kj4wgn8uJnBtVtUiJfGFpZueV_HJMRoOzwEpXFvYJCA4n04mzFrbr8prDMppQuKm7PBQ |
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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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