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distilbert-base-uncased-finetuned-stationary-update
MKS3099/distilbert-base-uncased-finetuned-stationary-update
distilbert-base-uncased-finetuned-stationary-update is a text classification model from MKS3099. 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
- Dec 14, 2023
- Updated
- Dec 14, 2023
- SHA
- 57f2edb5
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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. -->
distilbert-base-uncased-finetuned-stationary-update
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7730
- Accuracy: 0.7833
- F1: 0.7806
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6079 | 1.0 | 38 | 0.5325 | 0.7 | 0.6134 |
| 0.4686 | 2.0 | 76 | 0.4729 | 0.7867 | 0.7849 |
| 0.3713 | 3.0 | 114 | 0.4896 | 0.8033 | 0.8009 |
| 0.2955 | 4.0 | 152 | 0.5363 | 0.78 | 0.7782 |
| 0.2141 | 5.0 | 190 | 0.6037 | 0.7867 | 0.7782 |
| 0.1664 | 6.0 | 228 | 0.6722 | 0.7633 | 0.7554 |
| 0.1343 | 7.0 | 266 | 0.6951 | 0.79 | 0.7829 |
| 0.0854 | 8.0 | 304 | 0.7358 | 0.77 | 0.7678 |
| 0.0888 | 9.0 | 342 | 0.7616 | 0.7767 | 0.7724 |
| 0.0669 | 10.0 | 380 | 0.7730 | 0.7833 | 0.7806 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 14, 2023
- Updated
- Dec 14, 2023