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bert-base-uncased-sst2-lora-epochs-2-lr-0.0005
prateeky2806/bert-base-uncased-sst2-lora-epochs-2-lr-0.0005
bert-base-uncased-sst2-lora-epochs-2-lr-0.0005 is a machine learning model from prateeky2806. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Updated Sep 26, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Sep 26, 2023
- Updated
- Sep 26, 2023
- SHA
- b29cf707
Base models
Datasets
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-sst2-lora-epochs-2-lr-0.0005
This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.1448
- Accuracy: 0.98
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 28
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1851 | 1.0 | 2102 | 0.1815 | 0.95 |
| 0.1221 | 2.0 | 4204 | 0.1448 | 0.98 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
- License
- apache-2.0
- Created
- Sep 26, 2023
- Updated
- Sep 26, 2023