| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - emotion |
| metrics: |
| - accuracy |
| model-index: |
| - name: autoevaluate/multi-class-classification |
| results: |
| - task: |
| type: text-classification |
| name: Text Classification |
| dataset: |
| name: emotion |
| type: emotion |
| config: default |
| split: test |
| metrics: |
| - type: accuracy |
| value: 0.9185 |
| name: Accuracy |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjEwODYzNTZhNWNiMGI1NmExNzllOGYyY2VmZDE2MGJkNjNiNWU0ZmNhYjBlM2Q0NzYzNWY3NTUyZTY2N2M4ZiIsInZlcnNpb24iOjF9.5rc2ZUo5FnfZCZUhjqGrUBWojZrS49tN_5r_tzmtDFky65KK5MS6krXO73gnb_wmIzTlKciIcNOYXfv4O8w4AQ |
| - type: precision |
| value: 0.8738350796775306 |
| name: Precision Macro |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjZhNGNkMmFjZmY2YjhlMmY1ZmViZGRmMzZjMjhkM2NiYTM2YmZlYTFkNTg2Y2I2ZDM5NDg3ZGJkMmJmZTM1MSIsInZlcnNpb24iOjF9.TvCcKx-FSlQ2H7cZikIPxUfA0x4R_5n6waPpD9JLYejG6eaoRxVH9AGC99OyQq6gH27Z3adQoNzzrtNihlD_Cg |
| - type: precision |
| value: 0.9185 |
| name: Precision Micro |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGE2NmJhOGM5ODU3OWI0NDBhNmVlMGUyOWUyYzNhNjNlY2M2OTg4N2IyNjZlYzRkNjRhZWNhODVkNzQ1OTZjNCIsInZlcnNpb24iOjF9.bXsHHZ1XpdO8fzukYFwuj7uXitrweUtlqbpNydnMvHETGNaItF_wdbFFAj3y0t7F6O7-q2vT0lEUfwPtbOH4Ag |
| - type: precision |
| value: 0.9179425177997311 |
| name: Precision Weighted |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTczNmZhOGY1NGZlZGIyNDc1ZDU5YzNkYTI1MzMwYzMzZmY3ZjA1MGZjNDg5M2Q5ZDc5ODFjYzA4MWI5YjNmZSIsInZlcnNpb24iOjF9.9OmbamR05yCclqnpHMGaWRX4OOt51ka0ySl_mbCt5jYGPWFSGQ5tck3TzhI3M1_P7uaPboTwfYONbu1zH6hkDw |
| - type: recall |
| value: 0.8650962919021573 |
| name: Recall Macro |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGVkMjRiZThmNWRiMGEyNDRjZDYzYzU5MzFkYzI3OGYwNGM5MmJhMzk2NDRmYjE2NDZkZDhjYTMyMWEzZjZjZCIsInZlcnNpb24iOjF9.jgu2MhrirukymMCOQ72coBJ2hF23gajQeQhAlSQliqzHVZmLZfkXtuj2sOUgK7MDZWoTThScUbumyv8FtzdFDA |
| - type: recall |
| 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 |
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| - 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 |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGUzMWViODYwMzkxOGQ2ZWQ5YjI0ODIwNzEwZTEwN2Q2ZGEwMDM2ZDIwNWI0Y2MwNDU3OTczNjkzMTMxOGQ4NiIsInZlcnNpb24iOjF9.WvD5YZWsagpaDnh2ZZoEDBil3J2FKM24GaUGVIlJnotSFtp83j0O51FiVMZvT3ev0pKXUge5cjCliBDv553iCw |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # multi-class-classification |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2009 |
| - Accuracy: 0.928 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.2643 | 1.0 | 1000 | 0.2009 | 0.928 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.19.2 |
| - Pytorch 1.11.0+cu113 |
| - Datasets 2.2.2 |
| - Tokenizers 0.12.1 |
|
|
