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trainer
indiana500/trainer
trainer is a text classification model from indiana500. 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 17, 2024
- Updated
- Apr 17, 2024
- SHA
- e6811f99
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. -->
trainer
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: 0.6671
- Accuracy: {'accuracy': 0.6136936111747194}
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: 0.001
- train_batch_size: 20
- eval_batch_size: 20
- 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 |
|---|---|---|---|---|
| 0.6681 | 1.0 | 1020 | 0.6671 | {'accuracy': 0.6136936111747194} |
| 0.667 | 2.0 | 2040 | 0.6671 | {'accuracy': 0.6136936111747194} |
| 0.6697 | 3.0 | 3060 | 0.6692 | {'accuracy': 0.6136936111747194} |
| 0.6663 | 4.0 | 4080 | 0.6673 | {'accuracy': 0.6136936111747194} |
| 0.6655 | 5.0 | 5100 | 0.6671 | {'accuracy': 0.6136936111747194} |
| 0.669 | 6.0 | 6120 | 0.6671 | {'accuracy': 0.6136936111747194} |
| 0.6667 | 7.0 | 7140 | 0.6671 | {'accuracy': 0.6136936111747194} |
| 0.6684 | 8.0 | 8160 | 0.6671 | {'accuracy': 0.6136936111747194} |
| 0.6651 | 9.0 | 9180 | 0.6671 | {'accuracy': 0.6136936111747194} |
| 0.6669 | 10.0 | 10200 | 0.6671 | {'accuracy': 0.6136936111747194} |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024