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distilbert-base-uncased-finetuned-cola
diffusepanda4/distilbert-base-uncased-finetuned-cola
distilbert-base-uncased-finetuned-cola is a machine learning model from diffusepanda4. 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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Public
Updated Aug 19, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jun 12, 2024
- Updated
- Aug 19, 2024
- SHA
- e7547309
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-finetuned-cola
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: 1.3195
- Matthews Correlation: 0.0656
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: 1
- eval_batch_size: 1
- 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 | Matthews Correlation |
|---|---|---|---|---|
| 1.1367 | 1.0 | 8551 | 1.2222 | 0.0 |
| 1.0526 | 2.0 | 17102 | 1.2834 | 0.0 |
| 1.1227 | 3.0 | 25653 | 1.3195 | 0.0656 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- License
- apache-2.0
- Created
- Jun 12, 2024
- Updated
- Aug 19, 2024