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rubert-tiny2_finetuned_emotion_experiment_modified_CE_LOSS_resampling
mmillet/rubert-tiny2_finetuned_emotion_experiment_modified_CE_LOSS_resampling
rubert-tiny2_finetuned_emotion_experiment_modified_CE_LOSS_resampling is a text classification model from mmillet. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jun 4, 2022
- Updated
- Jun 5, 2022
- SHA
- bb430adb
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Model card
From the Hugging Face model README
<!-- 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. -->
rubert-tiny2_finetuned_emotion_experiment_modified_CE_LOSS_resampling
This model is a fine-tuned version of cointegrated/rubert-tiny2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4520
- Accuracy: 0.8621
- F1: 0.8616
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.1134 | 1.0 | 53 | 0.9494 | 0.7716 | 0.7555 |
| 0.8421 | 2.0 | 106 | 0.7092 | 0.8204 | 0.8172 |
| 0.6488 | 3.0 | 159 | 0.6000 | 0.8319 | 0.8313 |
| 0.5392 | 4.0 | 212 | 0.5368 | 0.8376 | 0.8392 |
| 0.4616 | 5.0 | 265 | 0.4951 | 0.8549 | 0.8544 |
| 0.4138 | 6.0 | 318 | 0.4743 | 0.8621 | 0.8615 |
| 0.3694 | 7.0 | 371 | 0.4607 | 0.8563 | 0.8581 |
| 0.3375 | 8.0 | 424 | 0.4469 | 0.8693 | 0.8697 |
| 0.3049 | 9.0 | 477 | 0.4412 | 0.8649 | 0.8670 |
| 0.2804 | 10.0 | 530 | 0.4469 | 0.8635 | 0.8637 |
| 0.2787 | 11.0 | 583 | 0.4471 | 0.8693 | 0.8683 |
| 0.2284 | 12.0 | 636 | 0.4474 | 0.8693 | 0.8694 |
| 0.2188 | 13.0 | 689 | 0.4530 | 0.8649 | 0.8643 |
| 0.1998 | 14.0 | 742 | 0.4520 | 0.8621 | 0.8616 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jun 4, 2022
- Updated
- Jun 5, 2022