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Model_200_x_40
JhonMR/Model_200_x_40
Model_200_x_40 is a text classification model from JhonMR. 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
- Sep 27, 2024
- Updated
- Sep 30, 2024
- SHA
- 23bbcd25
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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. -->
Model_200_x_40
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: 0.4830
- Accuracy@en: 0.8875
- F1@en: 0.8867
- Precision@en: 0.8898
- Recall@en: 0.8898
- Loss@en: 0.4830
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: 1e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy@en | F1@en | Precision@en | Recall@en | Loss@en |
|---|---|---|---|---|---|---|---|---|
| 3.0489 | 1.0 | 700 | 2.3870 | 0.3529 | 0.2828 | 0.3123 | 0.3582 | 2.3870 |
| 2.0319 | 2.0 | 1400 | 1.6509 | 0.495 | 0.4328 | 0.4510 | 0.5074 | 1.6509 |
| 1.5107 | 3.0 | 2100 | 1.3354 | 0.5429 | 0.4921 | 0.5491 | 0.5546 | 1.3354 |
| 1.225 | 4.0 | 2800 | 1.0940 | 0.6629 | 0.6228 | 0.6723 | 0.6692 | 1.0940 |
| 1.0066 | 5.0 | 3500 | 0.8788 | 0.7279 | 0.6919 | 0.7462 | 0.7207 | 0.8788 |
| 0.8083 | 6.0 | 4200 | 0.7179 | 0.7983 | 0.7809 | 0.8169 | 0.7999 | 0.7179 |
| 0.6638 | 7.0 | 4900 | 0.6096 | 0.8542 | 0.8485 | 0.8603 | 0.8540 | 0.6096 |
| 0.551 | 8.0 | 5600 | 0.5353 | 0.8692 | 0.8660 | 0.8744 | 0.8705 | 0.5353 |
| 0.4805 | 9.0 | 6300 | 0.4957 | 0.8821 | 0.8812 | 0.8830 | 0.8842 | 0.4957 |
| 0.4461 | 10.0 | 7000 | 0.4830 | 0.8875 | 0.8867 | 0.8898 | 0.8898 | 0.4830 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 27, 2024
- Updated
- Sep 30, 2024