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distilbert-1k
addykan/distilbert-1k
distilbert-1k is a text classification model from addykan. 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
- Apr 20, 2024
- Updated
- Apr 20, 2024
- SHA
- b125ffa2
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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-1k
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0986
- Accuracy: 0.3333
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-07
- 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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0989 | 1.0 | 6000 | 1.0986 | 0.3333 |
| 1.0993 | 2.0 | 12000 | 1.0986 | 0.3333 |
| 1.0992 | 3.0 | 18000 | 1.0986 | 0.3333 |
| 1.0993 | 4.0 | 24000 | 1.0986 | 0.3333 |
| 1.0985 | 5.0 | 30000 | 1.0986 | 0.3333 |
| 1.0988 | 6.0 | 36000 | 1.0986 | 0.3333 |
| 1.0993 | 7.0 | 42000 | 1.0986 | 0.3333 |
| 1.0983 | 8.0 | 48000 | 1.0986 | 0.3333 |
| 1.0983 | 9.0 | 54000 | 1.0986 | 0.3333 |
| 1.0982 | 10.0 | 60000 | 1.0986 | 0.3333 |
| 1.0986 | 11.0 | 66000 | 1.0986 | 0.3333 |
| 1.0985 | 12.0 | 72000 | 1.0986 | 0.3333 |
| 1.0983 | 13.0 | 78000 | 1.0986 | 0.3333 |
| 1.0987 | 14.0 | 84000 | 1.0986 | 0.3333 |
| 1.0992 | 15.0 | 90000 | 1.0986 | 0.3333 |
| 1.099 | 16.0 | 96000 | 1.0986 | 0.3333 |
| 1.0991 | 17.0 | 102000 | 1.0986 | 0.3333 |
| 1.0982 | 18.0 | 108000 | 1.0986 | 0.3333 |
| 1.0989 | 19.0 | 114000 | 1.0986 | 0.3333 |
| 1.099 | 20.0 | 120000 | 1.0986 | 0.3333 |
| 1.0991 | 21.0 | 126000 | 1.0986 | 0.3333 |
| 1.099 | 22.0 | 132000 | 1.0986 | 0.3333 |
| 1.099 | 23.0 | 138000 | 1.0986 | 0.3333 |
| 1.0984 | 24.0 | 144000 | 1.0986 | 0.3333 |
| 1.0985 | 25.0 | 150000 | 1.0986 | 0.3333 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.0.0+cu117
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 20, 2024
- Updated
- Apr 20, 2024