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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.eyJoYXNoIjoiNjEwODYzNTZhNWNiMGI1NmExNzllOGYyY2VmZDE2MGJkNjNiNWU0ZmNhYjBlM2Q0NzYzNWY3NTUyZTY2N2M4ZiIsInZlcnNpb24iOjF9.5rc2ZUo5FnfZCZUhjqGrUBWojZrS49tN_5r_tzmtDFky65KK5MS6krXO73gnb_wmIzTlKciIcNOYXfv4O8w4AQ |
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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 |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjZhNGNkMmFjZmY2YjhlMmY1ZmViZGRmMzZjMjhkM2NiYTM2YmZlYTFkNTg2Y2I2ZDM5NDg3ZGJkMmJmZTM1MSIsInZlcnNpb24iOjF9.TvCcKx-FSlQ2H7cZikIPxUfA0x4R_5n6waPpD9JLYejG6eaoRxVH9AGC99OyQq6gH27Z3adQoNzzrtNihlD_Cg |
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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.eyJoYXNoIjoiOGE2NmJhOGM5ODU3OWI0NDBhNmVlMGUyOWUyYzNhNjNlY2M2OTg4N2IyNjZlYzRkNjRhZWNhODVkNzQ1OTZjNCIsInZlcnNpb24iOjF9.bXsHHZ1XpdO8fzukYFwuj7uXitrweUtlqbpNydnMvHETGNaItF_wdbFFAj3y0t7F6O7-q2vT0lEUfwPtbOH4Ag |
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- type: precision |
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value: 0.9179425177997311 |
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name: Precision Weighted |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTczNmZhOGY1NGZlZGIyNDc1ZDU5YzNkYTI1MzMwYzMzZmY3ZjA1MGZjNDg5M2Q5ZDc5ODFjYzA4MWI5YjNmZSIsInZlcnNpb24iOjF9.9OmbamR05yCclqnpHMGaWRX4OOt51ka0ySl_mbCt5jYGPWFSGQ5tck3TzhI3M1_P7uaPboTwfYONbu1zH6hkDw |
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- type: recall |
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value: 0.8650962919021573 |
|
name: Recall Macro |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGVkMjRiZThmNWRiMGEyNDRjZDYzYzU5MzFkYzI3OGYwNGM5MmJhMzk2NDRmYjE2NDZkZDhjYTMyMWEzZjZjZCIsInZlcnNpb24iOjF9.jgu2MhrirukymMCOQ72coBJ2hF23gajQeQhAlSQliqzHVZmLZfkXtuj2sOUgK7MDZWoTThScUbumyv8FtzdFDA |
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- type: recall |
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value: 0.9185 |
|
name: Recall Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTQ4ODYyNDdiZjY4MGYxYzAwY2I0Nzk0ZmY4NTU1ZTEyZWQzODE0NDQzYjE0ODE0MGQyZDMwOGRlZDNjOGJiYiIsInZlcnNpb24iOjF9.2W0ArIcZuDx7BBDqRCHWROpuDZuOTl9of7zwyZBgEmQHI59nXemWYMLH8sxp1pIkAPAvJ7d2HH77ga1HjAWPDA |
|
- type: recall |
|
value: 0.9185 |
|
name: Recall Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGNjMzhkZDE4NDA4OWNmYTVjNjIxZmZmNzA2MmMwMzljZTAwNWJlMjg1YzRkZjUyN2E4OTk4MGUwMDkzNDI0ZCIsInZlcnNpb24iOjF9.OrTtkfUI4HQteLA9G0NoBq4_BARO2aMwzsyczrTH-bXKgpcZUtufq2TUzCBqJueG5dCoZVhbm2_BQqRZdTxQAw |
|
- type: f1 |
|
value: 0.8692821860210945 |
|
name: F1 Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODkwZGM5OTEyOWEyZDUwNDk1MTBhMTNkZjMxNGFmZGU3OWYxYzJiYmJhMzdmODE5YTY3ZGI2NmJiZDhkMjIyZSIsInZlcnNpb24iOjF9.XFg1wohgpCLFtHPCsWYw_KqCwXXbHDYBePx8uLgOmBDQl6jsQNMf7v_eWWd23pcPEvMa0LZGPpOS1bw_mc5KCg |
|
- type: f1 |
|
value: 0.9185 |
|
name: F1 Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzUxOWRmODc5MDZiYzBjNjIxMGMyMzViZTU1MDI4YmU1MzJiNTM0M2FlMWM2NGIwMzYyMzhlM2E1NDRmYjhhYyIsInZlcnNpb24iOjF9.nsSZ5VNMQty8DHX7aimZvLa3rIHvZxEwAwEJrYH804QDa3Sq1y5N527AmoOkYb3RfKbi2POQ3dlPD7EgqDCMCw |
|
- type: f1 |
|
value: 0.9181177508591364 |
|
name: F1 Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmJlMjZhZDUwMjAzMmMzZDgxMzUwZjkxN2E5NDkxNTE4NDZjMzM0NTYzNjNkNWJhMmE2YWFiZTU3NzYzMWZhZCIsInZlcnNpb24iOjF9.J92ofUV1jvpl2X3IWeBowF1kG5mSbXd5UgLq9mfAAgLc4UbGaafV1ev2DnqPu5q7rT6PHI9w8OR7Z4TXEeR6Ag |
|
- type: loss |
|
value: 0.20907790958881378 |
|
name: loss |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGUzMWViODYwMzkxOGQ2ZWQ5YjI0ODIwNzEwZTEwN2Q2ZGEwMDM2ZDIwNWI0Y2MwNDU3OTczNjkzMTMxOGQ4NiIsInZlcnNpb24iOjF9.WvD5YZWsagpaDnh2ZZoEDBil3J2FKM24GaUGVIlJnotSFtp83j0O51FiVMZvT3ev0pKXUge5cjCliBDv553iCw |
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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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