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my_awesome_model
Ostgot/my_awesome_model
my_awesome_model is a text classification model from Ostgot. 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
- Jun 18, 2024
- Updated
- Jun 18, 2024
- SHA
- 227b30bb
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. -->
my_awesome_model
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2227
- Quadratic Weighted Kappa: 0.8432
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Quadratic Weighted Kappa |
|---|---|---|---|---|
| No log | 1.0 | 21 | 1.4531 | 0.7630 |
| No log | 2.0 | 42 | 1.4259 | 0.7622 |
| No log | 3.0 | 63 | 1.2936 | 0.8170 |
| No log | 4.0 | 84 | 1.2508 | 0.8353 |
| No log | 5.0 | 105 | 1.2348 | 0.8469 |
| No log | 6.0 | 126 | 1.2241 | 0.8444 |
| No log | 7.0 | 147 | 1.2227 | 0.8432 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 18, 2024
- Updated
- Jun 18, 2024