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finetuned-endpoints_classif_test-4_13_1246
fftristan/finetuned-endpoints_classif_test-4_13_1246
finetuned-endpoints_classif_test-4_13_1246 is a text classification model from fftristan. 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
- bert
- Access
- Public
- Created
- Apr 13, 2023
- Updated
- Apr 13, 2023
- SHA
- e3d61a61
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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. -->
finetuned-endpoints_classif_test-4_13_1246
This model is a fine-tuned version of ProsusAI/finbert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4666
- F1: 0.8717
- Accuracy: 0.8667
- Precision: 0.9019
- Recall: 0.8667
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 2.0932 | 1.0 | 13 | 1.8419 | 0.3116 | 0.3667 | 0.3823 | 0.3667 |
| 1.683 | 2.0 | 26 | 1.5969 | 0.3338 | 0.4 | 0.4632 | 0.4 |
| 1.3516 | 3.0 | 39 | 1.3390 | 0.5505 | 0.5667 | 0.6117 | 0.5667 |
| 1.0476 | 4.0 | 52 | 1.0331 | 0.6773 | 0.7 | 0.7741 | 0.7 |
| 0.6697 | 5.0 | 65 | 0.8544 | 0.7635 | 0.7667 | 0.8483 | 0.7667 |
| 0.417 | 6.0 | 78 | 0.5855 | 0.8068 | 0.8 | 0.8722 | 0.8 |
| 0.2449 | 7.0 | 91 | 0.5300 | 0.8409 | 0.8333 | 0.89 | 0.8333 |
| 0.1387 | 8.0 | 104 | 0.5291 | 0.8717 | 0.8667 | 0.9019 | 0.8667 |
| 0.0898 | 9.0 | 117 | 0.4517 | 0.8717 | 0.8667 | 0.9019 | 0.8667 |
| 0.0605 | 10.0 | 130 | 0.4855 | 0.8717 | 0.8667 | 0.9019 | 0.8667 |
| 0.0474 | 11.0 | 143 | 0.4727 | 0.8717 | 0.8667 | 0.9019 | 0.8667 |
| 0.0436 | 12.0 | 156 | 0.4666 | 0.8717 | 0.8667 | 0.9019 | 0.8667 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Apr 13, 2023
- Updated
- Apr 13, 2023