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distilbert
KasuleTrevor/distilbert
distilbert is a text classification model from KasuleTrevor. 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
- Aug 1, 2024
- Updated
- Aug 1, 2024
- SHA
- 582af08e
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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
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: 0.1400
- Accuracy: 0.973
- Precision: 0.974
- Recall: 0.973
- F1: 0.973
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 2.7987 | 1.0 | 114 | 2.0513 | 0.527 | 0.53 | 0.527 | 0.449 |
| 1.3683 | 2.0 | 228 | 0.4828 | 0.955 | 0.959 | 0.955 | 0.955 |
| 0.4676 | 3.0 | 342 | 0.2051 | 0.949 | 0.936 | 0.949 | 0.94 |
| 0.2473 | 4.0 | 456 | 0.1503 | 0.971 | 0.973 | 0.971 | 0.971 |
| 0.1912 | 5.0 | 570 | 0.1231 | 0.973 | 0.974 | 0.973 | 0.973 |
| 0.1413 | 6.0 | 684 | 0.1538 | 0.971 | 0.972 | 0.971 | 0.971 |
| 0.1289 | 7.0 | 798 | 0.1197 | 0.976 | 0.977 | 0.976 | 0.976 |
| 0.0951 | 8.0 | 912 | 0.1246 | 0.978 | 0.979 | 0.978 | 0.978 |
| 0.0686 | 9.0 | 1026 | 0.1397 | 0.973 | 0.974 | 0.973 | 0.973 |
| 0.0518 | 10.0 | 1140 | 0.1400 | 0.973 | 0.974 | 0.973 | 0.973 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 1, 2024
- Updated
- Aug 1, 2024