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lala2211
joohwan/lala2211
lala2211 is a text classification model from joohwan. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 11, 2023
- Updated
- Jun 11, 2023
- SHA
- b0d8d609
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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. -->
lala2211
This model is a fine-tuned version of monologg/kobert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0105
- Accuracy: 0.7093
- F1: 0.7131
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
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.9365 | 1.0 | 1313 | 0.8612 | 0.6934 | 0.6953 |
| 0.5895 | 2.0 | 2626 | 0.9712 | 0.6871 | 0.6935 |
| 0.4931 | 3.0 | 3939 | 1.0105 | 0.7093 | 0.7131 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jun 11, 2023
- Updated
- Jun 11, 2023