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distilbert-base-uncased-finetuned-ft780_class
dminiotas05/distilbert-base-uncased-finetuned-ft780_class
distilbert-base-uncased-finetuned-ft780_class is a text classification model from dminiotas05. 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
- Jul 27, 2022
- Updated
- Jul 27, 2022
- SHA
- 9d9ac490
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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. -->
distilbert-base-uncased-finetuned-ft780_class
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9843
- Accuracy: 0.2047
- F1: 0.1823
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 2.1065 | 1.0 | 188 | 2.0425 | 0.1747 | 0.1248 |
| 1.9642 | 2.0 | 376 | 1.9959 | 0.1987 | 0.1701 |
| 1.9019 | 3.0 | 564 | 1.9843 | 0.2047 | 0.1823 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 27, 2022
- Updated
- Jul 27, 2022