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scenario-TCR-data-glue-sst2-model-bert-base-uncased
haryoaw/scenario-TCR-data-glue-sst2-model-bert-base-uncased
scenario-TCR-data-glue-sst2-model-bert-base-uncased is a text classification model from haryoaw. 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
- Jan 1, 2024
- Updated
- Jan 10, 2024
- SHA
- e0522cd1
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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. -->
scenario-TCR-data-glue-sst2-model-bert-base-uncased
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: 0.3616
- Accuracy: 0.8899
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: 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: 6969
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1841 | 1.0 | 2105 | 0.2533 | 0.9117 |
| 0.1442 | 2.0 | 4210 | 0.3051 | 0.9140 |
| 0.1086 | 3.0 | 6315 | 0.3518 | 0.8956 |
| 0.0936 | 4.0 | 8420 | 0.3294 | 0.8968 |
| 0.102 | 5.0 | 10525 | 0.3962 | 0.9002 |
| 0.0762 | 6.0 | 12630 | 0.3486 | 0.9083 |
| 0.0739 | 7.0 | 14735 | 0.3616 | 0.8899 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 1, 2024
- Updated
- Jan 10, 2024