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bert-base-uncased-airlines
tasosk/bert-base-uncased-airlines
bert-base-uncased-airlines is a text classification model from tasosk. 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
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 18, 2021
- SHA
- a509ec07
Try a prompt
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. -->
bert-base-uncased-airlines
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3458
- Accuracy: 0.9021
- F1: 0.9022
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: 2e-06
- 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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 405 | 0.3230 | 0.8754 | 0.8750 |
| 0.4658 | 2.0 | 810 | 0.2738 | 0.8986 | 0.8985 |
| 0.2473 | 3.0 | 1215 | 0.2944 | 0.9110 | 0.9111 |
| 0.2498 | 4.0 | 1620 | 0.3322 | 0.8950 | 0.8949 |
| 0.2174 | 5.0 | 2025 | 0.3342 | 0.9021 | 0.9021 |
| 0.2174 | 6.0 | 2430 | 0.3526 | 0.8986 | 0.8985 |
| 0.2055 | 7.0 | 2835 | 0.3458 | 0.9021 | 0.9022 |
Framework versions
- Transformers 4.14.1
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Dec 18, 2021