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N_distilbert_sst2_padding0model
Realgon/N_distilbert_sst2_padding0model
N_distilbert_sst2_padding0model is a text classification model from Realgon. 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 4, 2023
- Updated
- Dec 11, 2023
- SHA
- 007b02a9
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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. -->
N_distilbert_sst2_padding0model
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: 0.8371
- Accuracy: 0.9072
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 433 | 0.2637 | 0.8951 |
| 0.3398 | 2.0 | 866 | 0.2966 | 0.8979 |
| 0.1677 | 3.0 | 1299 | 0.5400 | 0.8852 |
| 0.0745 | 4.0 | 1732 | 0.5148 | 0.9061 |
| 0.0376 | 5.0 | 2165 | 0.5925 | 0.9017 |
| 0.0208 | 6.0 | 2598 | 0.6006 | 0.9039 |
| 0.0179 | 7.0 | 3031 | 0.6727 | 0.9028 |
| 0.0179 | 8.0 | 3464 | 0.6872 | 0.9050 |
| 0.0154 | 9.0 | 3897 | 0.7194 | 0.9061 |
| 0.009 | 10.0 | 4330 | 0.7977 | 0.8984 |
| 0.004 | 11.0 | 4763 | 0.8141 | 0.9033 |
| 0.005 | 12.0 | 5196 | 0.8024 | 0.9077 |
| 0.0048 | 13.0 | 5629 | 0.7693 | 0.9055 |
| 0.0076 | 14.0 | 6062 | 0.7940 | 0.9094 |
| 0.0076 | 15.0 | 6495 | 0.8173 | 0.9105 |
| 0.0063 | 16.0 | 6928 | 0.7915 | 0.9055 |
| 0.0069 | 17.0 | 7361 | 0.8337 | 0.9033 |
| 0.002 | 18.0 | 7794 | 0.8250 | 0.9077 |
| 0.0029 | 19.0 | 8227 | 0.8175 | 0.9072 |
| 0.0011 | 20.0 | 8660 | 0.8371 | 0.9072 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 4, 2023
- Updated
- Dec 11, 2023