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distilbert-base-uncased-distilled-clinc
mayankkeshari/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a machine learning model from mayankkeshari. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Nov 28, 2024
- Updated
- May 24, 2025
- SHA
- de42799a
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
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: -32.4608
- 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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 318 | -30.7744 | 0.7090 |
| -29.5862 | 2.0 | 636 | -31.8960 | 0.8613 |
| -29.5862 | 3.0 | 954 | -32.3040 | 0.9110 |
| -31.2651 | 4.0 | 1272 | -32.4035 | 0.9323 |
| -31.7237 | 5.0 | 1590 | -32.4323 | 0.9429 |
| -31.7237 | 6.0 | 1908 | -32.4419 | 0.9426 |
| -31.8152 | 7.0 | 2226 | -32.4532 | 0.9465 |
| -31.8121 | 8.0 | 2544 | -32.4559 | 0.9471 |
| -31.8121 | 9.0 | 2862 | -32.4591 | 0.9455 |
| -31.8322 | 10.0 | 3180 | -32.4608 | 0.9452 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0.dev0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 28, 2024
- Updated
- May 24, 2025