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finetuning-xlnet-base-cased-on-Cornell_sentiment
Ibrahim-Alam/finetuning-xlnet-base-cased-on-Cornell_sentiment
finetuning-xlnet-base-cased-on-Cornell_sentiment is a text classification model from Ibrahim-Alam. 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
- Sep 21, 2023
- Updated
- Sep 26, 2023
- SHA
- 350c82ae
Try a prompt
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. -->
finetuning-xlnet-base-cased-on-Cornell_sentiment
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: 0.3771
- Accuracy: 0.8833
- F1: 0.8793
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: 1
Training results
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- xlnet
- License
- mit
- Created
- Sep 21, 2023
- Updated
- Sep 26, 2023