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bert-base-phia-secondhandDescription-100
reiffd/bert-base-phia-secondhandDescription-100
bert-base-phia-secondhandDescription-100 is a text classification model from reiffd. 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
- Jul 3, 2024
- Updated
- Jul 3, 2024
- SHA
- ab20c5d8
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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. -->
bert-base-phia-secondhandDescription-100
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: 2.2601
- Precision: 0.3167
- Recall: 0.3333
- Accuracy: 0.3333
- F1: 0.2933
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 9 | 2.4405 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 18 | 2.3760 | 0.0833 | 0.2 | 0.2 | 0.1156 |
| No log | 3.0 | 27 | 2.3655 | 0.0148 | 0.0667 | 0.0667 | 0.0242 |
| No log | 4.0 | 36 | 2.4138 | 0.0467 | 0.1333 | 0.1333 | 0.0667 |
| No log | 5.0 | 45 | 2.3539 | 0.2833 | 0.3333 | 0.3333 | 0.2933 |
| No log | 6.0 | 54 | 2.3328 | 0.075 | 0.1333 | 0.1333 | 0.0815 |
| No log | 7.0 | 63 | 2.3062 | 0.1095 | 0.2 | 0.2 | 0.1278 |
| No log | 8.0 | 72 | 2.3072 | 0.3111 | 0.3333 | 0.3333 | 0.2857 |
| No log | 9.0 | 81 | 2.2739 | 0.2611 | 0.3333 | 0.3333 | 0.2800 |
| No log | 10.0 | 90 | 2.2601 | 0.3167 | 0.3333 | 0.3333 | 0.2933 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 3, 2024
- Updated
- Jul 3, 2024