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suicide-distilbert-2
cuadron11/suicide-distilbert-2
suicide-distilbert-2 is a text classification model from cuadron11. 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
- Nov 23, 2023
- Updated
- Nov 25, 2023
- SHA
- 8064db11
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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. -->
suicide-distilbert-2
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4305
- Accuracy: {'accuracy': 0.4}
- Precision: 0.2743
- Recall: 0.4
- Fscore: 0.2992
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: 7e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Fscore |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 10 | 1.6207 | {'accuracy': 0.31} | 0.0981 | 0.31 | 0.1490 |
| No log | 2.0 | 20 | 1.5899 | {'accuracy': 0.31} | 0.0961 | 0.31 | 0.1467 |
| No log | 3.0 | 30 | 1.5121 | {'accuracy': 0.35} | 0.2121 | 0.35 | 0.2258 |
| No log | 4.0 | 40 | 1.4855 | {'accuracy': 0.37} | 0.2008 | 0.37 | 0.2468 |
| No log | 5.0 | 50 | 1.4565 | {'accuracy': 0.36} | 0.1844 | 0.36 | 0.2381 |
| No log | 6.0 | 60 | 1.4514 | {'accuracy': 0.38} | 0.1923 | 0.38 | 0.2495 |
| No log | 7.0 | 70 | 1.4609 | {'accuracy': 0.39} | 0.2949 | 0.39 | 0.2934 |
| No log | 8.0 | 80 | 1.4545 | {'accuracy': 0.4} | 0.2776 | 0.4 | 0.3212 |
| No log | 9.0 | 90 | 1.4673 | {'accuracy': 0.37} | 0.2889 | 0.37 | 0.2762 |
| No log | 10.0 | 100 | 1.4305 | {'accuracy': 0.4} | 0.2743 | 0.4 | 0.2992 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 23, 2023
- Updated
- Nov 25, 2023