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text_entailment_anli_large
julzhao/text_entailment_anli_large
text_entailment_anli_large is a text classification model from julzhao. 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
- roberta
- Access
- Public
- Created
- Jan 17, 2025
- Updated
- Jan 17, 2025
- SHA
- 186a9ef8
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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. -->
text_entailment_anli_large
This model is a fine-tuned version of FacebookAI/roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3499
- Accuracy: 0.8698
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1091 | 0.0565 | 200 | 1.0719 | 0.4349 |
| 0.878 | 0.1130 | 400 | 0.6520 | 0.7378 |
| 0.6166 | 0.1694 | 600 | 0.5196 | 0.8047 |
| 0.5353 | 0.2259 | 800 | 0.4664 | 0.8219 |
| 0.506 | 0.2824 | 1000 | 0.4422 | 0.8294 |
| 0.488 | 0.3389 | 1200 | 0.4499 | 0.8346 |
| 0.4308 | 0.3954 | 1400 | 0.4239 | 0.8445 |
| 0.4353 | 0.4518 | 1600 | 0.3890 | 0.8558 |
| 0.4102 | 0.5083 | 1800 | 0.4058 | 0.8461 |
| 0.4075 | 0.5648 | 2000 | 0.4076 | 0.8575 |
| 0.3974 | 0.6213 | 2200 | 0.3885 | 0.8588 |
| 0.4107 | 0.6778 | 2400 | 0.3499 | 0.8698 |
| 0.3868 | 0.7343 | 2600 | 0.3602 | 0.8673 |
| 0.3665 | 0.7907 | 2800 | 0.3607 | 0.8751 |
| 0.3768 | 0.8472 | 3000 | 0.3772 | 0.8670 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jan 17, 2025
- Updated
- Jan 17, 2025