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my_model
sergiomvazq/my_model
my_model is a text classification model from sergiomvazq. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Jun 3, 2024
- Updated
- Jun 3, 2024
- SHA
- 7e4e5290
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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. -->
my_model
This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1746
- Accuracy: 0.9589
- F1: 0.8034
- Precision: 1.0
- Recall: 0.6714
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: 5e-05
- train_batch_size: 5
- eval_batch_size: 5
- 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 | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 14 | 0.4759 | 0.875 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 28 | 0.3609 | 0.875 | 0.0 | 0.0 | 0.0 |
| No log | 3.0 | 42 | 0.3394 | 0.875 | 0.0 | 0.0 | 0.0 |
| No log | 4.0 | 56 | 0.3070 | 0.875 | 0.0 | 0.0 | 0.0 |
| No log | 5.0 | 70 | 0.2768 | 0.875 | 0.0 | 0.0 | 0.0 |
| No log | 6.0 | 84 | 0.2432 | 0.8893 | 0.2051 | 1.0 | 0.1143 |
| No log | 7.0 | 98 | 0.2159 | 0.9071 | 0.4091 | 1.0 | 0.2571 |
| No log | 8.0 | 112 | 0.1946 | 0.9429 | 0.7037 | 1.0 | 0.5429 |
| No log | 9.0 | 126 | 0.1798 | 0.9554 | 0.7826 | 1.0 | 0.6429 |
| No log | 10.0 | 140 | 0.1746 | 0.9589 | 0.8034 | 1.0 | 0.6714 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Jun 3, 2024
- Updated
- Jun 3, 2024