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DistillBERT-Political-Finetune
harshal-11/DistillBERT-Political-Finetune
DistillBERT-Political-Finetune is a text classification model from harshal-11. 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
- May 11, 2024
- Updated
- May 12, 2024
- SHA
- 4e218bdc
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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. -->
DistillBERT-Political-Finetune
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3916
- Accuracy: 0.8380
- F1: 0.8287
- Precision: 0.8410
- Recall: 0.8195
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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.5547 | 1.0 | 3845 | 0.3916 | 0.8380 | 0.8287 | 0.8410 | 0.8195 |
| 0.5061 | 2.0 | 7690 | 0.4957 | 0.8523 | 0.8409 | 0.8550 | 0.8309 |
| 0.1709 | 3.0 | 11535 | 0.5732 | 0.8575 | 0.8449 | 0.8541 | 0.8376 |
| 0.0965 | 4.0 | 15380 | 0.6933 | 0.8559 | 0.8438 | 0.8478 | 0.8406 |
| 0.063 | 5.0 | 19225 | 0.8462 | 0.8583 | 0.8444 | 0.8456 | 0.8433 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 11, 2024
- Updated
- May 12, 2024