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trainer102b
SimoneJLaudani/trainer102b
trainer102b is a text classification model from SimoneJLaudani. 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
- Mar 14, 2024
- Updated
- Mar 14, 2024
- SHA
- 13bd2b25
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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. -->
trainer102b
This model is a fine-tuned version of distilbert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7253
- Precision: 0.2817
- Recall: 0.3571
- F1: 0.2958
- Accuracy: 0.3571
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: 8
- eval_batch_size: 8
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.9379 | 0.57 | 30 | 1.9074 | 0.2220 | 0.1786 | 0.0937 | 0.1786 |
| 1.87 | 1.13 | 60 | 1.8163 | 0.2684 | 0.2857 | 0.2486 | 0.2857 |
| 1.7421 | 1.7 | 90 | 1.7369 | 0.3393 | 0.3452 | 0.2957 | 0.3452 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 14, 2024
- Updated
- Mar 14, 2024