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my_awesome_model
boldirev-as/my_awesome_model
my_awesome_model is a text classification model from boldirev-as. 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
- May 4, 2023
- Updated
- Sep 14, 2023
- SHA
- a548c8ff
Try a prompt
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 boldirev-as/my_awesome_model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3407
- F1: 0.8426
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.1741 | 1.0 | 46 | 0.3446 | 0.8415 |
| 0.2189 | 2.0 | 92 | 0.4004 | 0.8295 |
| 0.1928 | 3.0 | 138 | 0.3267 | 0.8334 |
| 0.2023 | 4.0 | 184 | 0.3392 | 0.8394 |
| 0.1443 | 5.0 | 230 | 0.3407 | 0.8426 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 4, 2023
- Updated
- Sep 14, 2023