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distilbert-base-uncased-RILE-v1_frozen_4
kghanlon/distilbert-base-uncased-RILE-v1_frozen_4
distilbert-base-uncased-RILE-v1_frozen_4 is a text classification model from kghanlon. 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
- Dec 27, 2023
- Updated
- Dec 27, 2023
- SHA
- e5d8c986
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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. -->
distilbert-base-uncased-RILE-v1_frozen_4
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: 0.8650
- Accuracy: 0.7404
- Recall: 0.7404
- F1: 0.7399
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.6951 | 1.0 | 15490 | 0.6812 | 0.7140 | 0.7140 | 0.7124 |
| 0.6449 | 2.0 | 30980 | 0.6663 | 0.7282 | 0.7282 | 0.7292 |
| 0.5592 | 3.0 | 46470 | 0.6709 | 0.7376 | 0.7376 | 0.7366 |
| 0.4423 | 4.0 | 61960 | 0.7656 | 0.7389 | 0.7389 | 0.7376 |
| 0.3611 | 5.0 | 77450 | 0.8650 | 0.7404 | 0.7404 | 0.7399 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 27, 2023
- Updated
- Dec 27, 2023