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covid_bert-e3-b16-v2-w0.01-dev1
YanJiangJerry/covid_bert-e3-b16-v2-w0.01-dev1
covid_bert-e3-b16-v2-w0.01-dev1 is a text classification model from YanJiangJerry. 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
- Jul 23, 2023
- Updated
- Jul 23, 2023
- SHA
- 13c53fc4
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Base models
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. -->
covid_bert-e3-b16-v2-w0.01-dev1
This model is a fine-tuned version of digitalepidemiologylab/covid-twitter-bert-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9608
- F1: 0.7913
- Recall: 0.7913
- Precision: 0.7913
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Precision |
|---|---|---|---|---|---|---|
| 0.8059 | 1.0 | 753 | 0.6912 | 0.7558 | 0.7558 | 0.7558 |
| 0.5563 | 2.0 | 1506 | 0.7618 | 0.7804 | 0.7804 | 0.7804 |
| 0.3678 | 3.0 | 2259 | 0.9608 | 0.7913 | 0.7913 | 0.7913 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jul 23, 2023
- Updated
- Jul 23, 2023