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distilbert-base-uncased-distilled-clinc-finalmodel
lukasgrouleff/distilbert-base-uncased-distilled-clinc-finalmodel
distilbert-base-uncased-distilled-clinc-finalmodel is a text classification model from lukasgrouleff. 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
- Oct 20, 2024
- Updated
- Oct 20, 2024
- SHA
- 092262c1
Try a prompt
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-base-uncased-distilled-clinc-finalmodel
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: 0.1450
- Accuracy: 0.9452
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: 62
- eval_batch_size: 62
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 13
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 246 | 1.1405 | 0.7248 |
| No log | 2.0 | 492 | 0.6174 | 0.8723 |
| 1.222 | 3.0 | 738 | 0.3593 | 0.9174 |
| 1.222 | 4.0 | 984 | 0.2457 | 0.9329 |
| 0.3993 | 5.0 | 1230 | 0.1991 | 0.9371 |
| 0.3993 | 6.0 | 1476 | 0.1778 | 0.9384 |
| 0.1946 | 7.0 | 1722 | 0.1650 | 0.9416 |
| 0.1946 | 8.0 | 1968 | 0.1585 | 0.9442 |
| 0.1445 | 9.0 | 2214 | 0.1515 | 0.9442 |
| 0.1445 | 10.0 | 2460 | 0.1490 | 0.9461 |
| 0.1263 | 11.0 | 2706 | 0.1470 | 0.9452 |
| 0.1263 | 12.0 | 2952 | 0.1451 | 0.9452 |
| 0.1177 | 13.0 | 3198 | 0.1450 | 0.9452 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 20, 2024
- Updated
- Oct 20, 2024