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text_entailment_anli
julzhao/text_entailment_anli
text_entailment_anli 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
- 4ee9c0b1
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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
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4436
- Accuracy: 0.8373
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: 90
- eval_batch_size: 90
- 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 |
|---|---|---|---|---|
| 0.8984 | 0.1589 | 200 | 0.7369 | 0.6892 |
| 0.6427 | 0.3177 | 400 | 0.5919 | 0.7621 |
| 0.5597 | 0.4766 | 600 | 0.5397 | 0.7810 |
| 0.5361 | 0.6354 | 800 | 0.5033 | 0.7983 |
| 0.5291 | 0.7943 | 1000 | 0.5028 | 0.7982 |
| 0.5042 | 0.9531 | 1200 | 0.4763 | 0.8158 |
| 0.4036 | 1.1120 | 1400 | 0.4849 | 0.8184 |
| 0.4082 | 1.2708 | 1600 | 0.4690 | 0.8253 |
| 0.4241 | 1.4297 | 1800 | 0.4604 | 0.8282 |
| 0.3989 | 1.5886 | 2000 | 0.4544 | 0.8300 |
| 0.3932 | 1.7474 | 2200 | 0.4628 | 0.8267 |
| 0.3881 | 1.9063 | 2400 | 0.4436 | 0.8373 |
| 0.3366 | 2.0651 | 2600 | 0.4664 | 0.8346 |
| 0.3091 | 2.2240 | 2800 | 0.4624 | 0.8377 |
| 0.3125 | 2.3828 | 3000 | 0.4536 | 0.8437 |
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