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distilbert-scoring-on-off
rishitech007/distilbert-scoring-on-off
distilbert-scoring-on-off is a machine learning model from rishitech007. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Jun 19, 2024
- Updated
- Jun 19, 2024
- SHA
- 7608cab4
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-scoring-on-off
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: 0.3140
- Accuracy: 0.9248
- Precision: 0.9232
- Recall: 0.9248
- F1: 0.9236
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: 5e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.4479 | 0.3083 | 500 | 0.2908 | 0.9084 | 0.9118 | 0.9084 | 0.9091 |
| 0.3248 | 0.6165 | 1000 | 0.2770 | 0.9060 | 0.9027 | 0.9060 | 0.8983 |
| 0.3051 | 0.9248 | 1500 | 0.2426 | 0.9229 | 0.9207 | 0.9229 | 0.9207 |
| 0.2634 | 1.2330 | 2000 | 0.3114 | 0.9072 | 0.9047 | 0.9072 | 0.9056 |
| 0.2296 | 1.5413 | 2500 | 0.3468 | 0.9162 | 0.9142 | 0.9162 | 0.9145 |
| 0.2347 | 1.8496 | 3000 | 0.2526 | 0.9254 | 0.9231 | 0.9254 | 0.9231 |
| 0.2016 | 2.1578 | 3500 | 0.2777 | 0.9202 | 0.9186 | 0.9202 | 0.9192 |
| 0.1516 | 2.4661 | 4000 | 0.3153 | 0.9177 | 0.9200 | 0.9177 | 0.9187 |
| 0.1553 | 2.7744 | 4500 | 0.3140 | 0.9248 | 0.9232 | 0.9248 | 0.9236 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- transformers
- License
- apache-2.0
- Created
- Jun 19, 2024
- Updated
- Jun 19, 2024