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Thesis-ConstructAuxSentence-2
UchihaMadara/Thesis-ConstructAuxSentence-2
Thesis-ConstructAuxSentence-2 is a text classification model from UchihaMadara. Use it when you need a label for a piece of text. It is set up for transformers.
The following hyperparameters were used during training: - learningrate: 2e-05 - trainbatchsize: 24 - evalbatchsize: 24 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lrschedulertype: linear - numepochs: 3
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- May 9, 2023
- Updated
- May 9, 2023
- SHA
- 57061577
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Model card
From the Hugging Face model README
Pretrained checkpoint: roberta-large-mnli
Traning hyperparameters:
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 24
- eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Epoch | Train loss | Test loss | Subtask 3 f1 | Subtask 3 precision | Subtask 3 recall | Subtask4 accuracy |
|---|---|---|---|---|---|---|
| 1 | 340.1608857823303 | 68.94318291614763 | 0.8756704046806436 | 0.8752436647173489 | 0.8760975609756098 | 0.8458536585365853 |
| 2 | 148.33983786634053 | 36.02450433204649 | 0.9217221135029354 | 0.9244357212953876 | 0.9190243902439025 | 0.8741463414634146 |
| 3 | 60.1067302722804 | 29.687325364822755 | 0.9230769230769231 | 0.9393939393939394 | 0.9073170731707317 | 0.8848780487804878 |
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- May 9, 2023
- Updated
- May 9, 2023