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distilbert-base-uncased-finetuned-adl_hw1
moose1108/distilbert-base-uncased-finetuned-adl_hw1
distilbert-base-uncased-finetuned-adl_hw1 is a text classification model from moose1108. 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 7, 2023
- Updated
- Oct 7, 2023
- SHA
- b707f55e
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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. -->
distilbert-base-uncased-finetuned-adl_hw1
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: 1.6923
- Accuracy: 0.0
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.221 | 1.0 | 938 | 1.6923 | 0.0 |
| 1.1632 | 2.0 | 1876 | 0.5231 | 0.0 |
| 0.3258 | 3.0 | 2814 | 0.2817 | 0.0 |
| 0.1342 | 4.0 | 3752 | 0.2231 | 0.0 |
| 0.0767 | 5.0 | 4690 | 0.2104 | 0.0 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 7, 2023
- Updated
- Oct 7, 2023