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xlnet_finetuned
Alec42/xlnet_finetuned
xlnet_finetuned is a text classification model from Alec42. 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
- xlnet
- Access
- Public
- Created
- Nov 12, 2023
- Updated
- Nov 12, 2023
- SHA
- bc971183
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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. -->
xlnet_finetuned
This model is a fine-tuned version of xlnet-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6564
- Accuracy: 0.8098
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 310 | 0.7622 | 0.7797 |
| 1.0144 | 2.0 | 620 | 0.6564 | 0.8098 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.11.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlnet
- License
- mit
- Created
- Nov 12, 2023
- Updated
- Nov 12, 2023