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best_model_bert_uncasedbert-base-uncased-finetuned-sst2
Tech-oriented/best_model_bert_uncasedbert-base-uncased-finetuned-sst2
best_model_bert_uncasedbert-base-uncased-finetuned-sst2 is a text classification model from Tech-oriented. 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 5, 2024
- Updated
- Mar 6, 2024
- SHA
- e3caeeb1
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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. -->
best_model_bert_uncasedbert-base-uncased-finetuned-sst2
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: 0.4410
- Accuracy: 0.9071
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: 1.4078269054384274e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 34
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1684 | 0.3870 | 0.9025 |
| No log | 2.0 | 3368 | 0.4139 | 0.9060 |
| 0.4762 | 3.0 | 5052 | 0.4410 | 0.9071 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 5, 2024
- Updated
- Mar 6, 2024