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distilbert-base-uncased_log_classfication_v1
gemlincong/distilbert-base-uncased_log_classfication_v1
distilbert-base-uncased_log_classfication_v1 is a text classification model from gemlincong. 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
- Oct 27, 2023
- Updated
- Mar 21, 2024
- SHA
- 587346af
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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_log_classfication_v1
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: 0.1690
- Accuracy: 0.9509
- F1: 0.9424
- Precision: 0.9659
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 0.6959 | 1.0 | 54 | 0.7529 | 0.7853 | 0.7321 | 0.6708 |
| 0.312 | 2.0 | 108 | 0.5799 | 0.8589 | 0.8298 | 0.6794 |
| 0.1906 | 3.0 | 162 | 0.2493 | 0.9141 | 0.9004 | 0.6492 |
| 0.1361 | 4.0 | 216 | 0.1950 | 0.9264 | 0.9119 | 0.6750 |
| 0.1167 | 5.0 | 270 | 0.1690 | 0.9509 | 0.9424 | 0.9659 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 27, 2023
- Updated
- Mar 21, 2024