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bert-base-uncased-classification-flat
irfanamal/bert-base-uncased-classification-flat
bert-base-uncased-classification-flat is a text classification model from irfanamal. 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
- Jun 13, 2023
- Updated
- Jun 13, 2023
- SHA
- 79976067
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-classification-flat
This model is a fine-tuned version of irfanamal/bert-base-uncased-finetuned-amazonreviews on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4951
- Accuracy: 0.4957
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-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| 3.7227 | 1.0 | 1250 | 3.3098 | 0.3826 |
| 2.6109 | 2.0 | 2500 | 2.7897 | 0.4568 |
| 2.2396 | 3.0 | 3750 | 2.5943 | 0.4809 |
| 1.9093 | 4.0 | 5000 | 2.5155 | 0.4937 |
| 1.7949 | 5.0 | 6250 | 2.4951 | 0.4957 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 13, 2023
- Updated
- Jun 13, 2023