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distilbert-base-uncased
DenysZakharkevych/distilbert-base-uncased
distilbert-base-uncased is a text classification model from DenysZakharkevych. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Apr 29, 2024
- Updated
- Apr 30, 2024
- SHA
- c0cfb5df
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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
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7691
- Accuracy: 0.7419
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 293 | 0.5901 | 0.6866 |
| 0.5115 | 2.0 | 586 | 0.5594 | 0.7269 |
| 0.5115 | 3.0 | 879 | 0.5942 | 0.7415 |
| 0.2975 | 4.0 | 1172 | 0.6515 | 0.7594 |
| 0.2975 | 5.0 | 1465 | 0.7691 | 0.7419 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Apr 29, 2024
- Updated
- Apr 30, 2024