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roberta-base-lora-1.18M-snli-model3
varun-v-rao/roberta-base-lora-1.18M-snli-model3
roberta-base-lora-1.18M-snli-model3 is a text classification model from varun-v-rao. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Feb 6, 2024
- Updated
- Feb 6, 2024
- SHA
- 920f10c6
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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. -->
roberta-base-lora-1.18M-snli-model3
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7909
- Accuracy: 0.7175
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: 256
- eval_batch_size: 256
- seed: 64
- 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 |
|---|---|---|---|---|
| 0.4933 | 1.0 | 2146 | 0.3805 | 0.8541 |
| 0.4549 | 2.0 | 4292 | 0.3559 | 0.8651 |
| 0.4446 | 3.0 | 6438 | 0.3510 | 0.8669 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Feb 6, 2024
- Updated
- Feb 6, 2024