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distilbert-training-4
ShaunThayil/distilbert-training-4
distilbert-training-4 is a text classification model from ShaunThayil. 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 21, 2023
- Updated
- Sep 21, 2023
- SHA
- 2eced01d
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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-training-4
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: 0.0316
- Accuracy: 0.9944
- Precision: 0.9955
- Recall: 0.9822
- F1: 0.9888
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 0.5 | 262 | 0.0957 | 0.9817 | 0.9562 | 0.9711 | 0.9636 |
| No log | 1.0 | 524 | 0.0390 | 0.9939 | 0.9977 | 0.9778 | 0.9877 |
| 0.1008 | 1.5 | 786 | 0.0361 | 0.9944 | 0.9955 | 0.9822 | 0.9888 |
| 0.1008 | 2.0 | 1048 | 0.0385 | 0.9922 | 0.9866 | 0.9822 | 0.9844 |
| 0.0331 | 2.5 | 1310 | 0.0270 | 0.9956 | 0.9977 | 0.9844 | 0.9911 |
| 0.0331 | 2.99 | 1572 | 0.0358 | 0.9939 | 0.9955 | 0.98 | 0.9877 |
| 0.0151 | 3.49 | 1834 | 0.0292 | 0.9956 | 0.9955 | 0.9867 | 0.9911 |
| 0.0151 | 3.99 | 2096 | 0.0316 | 0.9944 | 0.9955 | 0.9822 | 0.9888 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.2.0.dev20230913+cu121
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 21, 2023
- Updated
- Sep 21, 2023