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ALBERT_trainer_emotion
Meet04/ALBERT_trainer_emotion
ALBERT_trainer_emotion is a text classification model from Meet04. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- albert
- Access
- Public
- Created
- Mar 13, 2024
- Updated
- Mar 13, 2024
- SHA
- e6d7ac60
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Base models
Datasets
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. -->
ALBERT_trainer_emotion
This model is a fine-tuned version of albert-base-v2 on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.3559
- Accuracy: 0.927
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: 20
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1217 | 1.0 | 800 | 0.1936 | 0.93 |
| 0.1054 | 2.0 | 1600 | 0.2105 | 0.9305 |
| 0.0893 | 3.0 | 2400 | 0.2199 | 0.933 |
| 0.0751 | 4.0 | 3200 | 0.2412 | 0.9375 |
| 0.0608 | 5.0 | 4000 | 0.2853 | 0.932 |
| 0.0342 | 6.0 | 4800 | 0.3575 | 0.9315 |
| 0.025 | 7.0 | 5600 | 0.3698 | 0.931 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- License
- apache-2.0
- Created
- Mar 13, 2024
- Updated
- Mar 13, 2024