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ROBERTA_base_Task2_Fact_updates
rishavranaut/ROBERTA_base_Task2_Fact_updates
ROBERTA_base_Task2_Fact_updates is a text classification model from rishavranaut. 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
- Jul 27, 2024
- Updated
- Aug 3, 2024
- SHA
- 4a2c660a
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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_Task2_Fact_updates
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4477
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2436 | 1.0 | 5793 | 0.3691 |
| 0.0007 | 2.0 | 11586 | 0.4516 |
| 0.0002 | 3.0 | 17379 | 0.3844 |
| 0.0001 | 4.0 | 23172 | 0.3483 |
| 0.0001 | 5.0 | 28965 | 0.4477 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jul 27, 2024
- Updated
- Aug 3, 2024