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DuplicatiDistillBertCitations
Kamer/DuplicatiDistillBertCitations
DuplicatiDistillBertCitations is a text classification model from Kamer. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 1, 2023
- Updated
- Sep 1, 2023
- SHA
- 1798883b
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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. -->
DuplicatiDistillBertCitations
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5474
- eval_Accuracy: 0.8571
- eval_F1_macro: 0.8668
- eval_F1_class_0: 0.7476
- eval_F1_class_1: 0.8627
- eval_F1_class_2: 0.8975
- eval_F1_class_3: 0.9362
- eval_F1_class_4: 0.9415
- eval_F1_class_5: 0.9176
- eval_F1_class_6: 0.8864
- eval_F1_class_7: 0.9548
- eval_F1_class_8: 0.9196
- eval_F1_class_9: 0.9424
- eval_F1_class_10: 0.6921
- eval_F1_class_11: 0.3927
- eval_F1_class_12: 0.8407
- eval_F1_class_13: 0.9495
- eval_F1_class_14: 0.8884
- eval_F1_class_15: 0.8514
- eval_F1_class_16: 0.8750
- eval_F1_class_17: 0.9115
- eval_F1_class_18: 0.9647
- eval_F1_class_19: 0.9630
- eval_runtime: 30.4778
- eval_samples_per_second: 166.646
- eval_steps_per_second: 20.835
- epoch: 1.33
- step: 7681
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: 5e-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: 10
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 1, 2023
- Updated
- Sep 1, 2023