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Roberta-model
Omalya/Roberta-model
Roberta-model is a machine learning model from Omalya. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Sep 28, 2024
- Updated
- Sep 28, 2024
- SHA
- 7de58a56
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-model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1923
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 0.2637 | 1.0 | 2000 | 0.3775 |
| 0.2167 | 2.0 | 4000 | 0.2212 |
| 0.2062 | 3.0 | 6000 | 0.1923 |
| 0.2235 | 4.0 | 8000 | 0.2075 |
| 0.0447 | 5.0 | 10000 | 0.2362 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- roberta
- License
- mit
- Created
- Sep 28, 2024
- Updated
- Sep 28, 2024