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my_awesome_model
NawinCom/my_awesome_model
my_awesome_model is a text classification model from NawinCom. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Mar 10, 2023
- Updated
- Mar 11, 2023
- SHA
- 435f28a0
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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 was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1455
- Accuracy: 0.9582
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.09 | 200 | 0.1455 | 0.9582 |
| No log | 0.19 | 400 | 0.1849 | 0.9604 |
| 0.0446 | 0.28 | 600 | 0.1580 | 0.9593 |
| 0.0446 | 0.38 | 800 | 0.1968 | 0.9545 |
| 0.0635 | 0.47 | 1000 | 0.1853 | 0.9603 |
| 0.0635 | 0.57 | 1200 | 0.1476 | 0.9589 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Mar 10, 2023
- Updated
- Mar 11, 2023