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roberta-base-fp-sick-lora-snli-model1
varun-v-rao/roberta-base-fp-sick-lora-snli-model1
roberta-base-fp-sick-lora-snli-model1 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
- Jun 5, 2024
- Updated
- Jun 5, 2024
- SHA
- 86501fde
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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. -->
roberta-base-fp-sick-lora-snli-model1
This model is a fine-tuned version of varun-v-rao/roberta-base-fp-sick on the snli dataset. It achieves the following results on the evaluation set:
- Loss: 0.3422
- Accuracy: 0.8711
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: 128
- seed: 48
- 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 |
|---|---|---|---|---|
| 0.4756 | 1.0 | 2146 | 0.3687 | 0.8599 |
| 0.4455 | 2.0 | 4292 | 0.3476 | 0.8686 |
| 0.4313 | 3.0 | 6438 | 0.3422 | 0.8711 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024