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distilroberta-base-finetuned-energy-tweets-fullsample
Saphbn/distilroberta-base-finetuned-energy-tweets-fullsample
distilroberta-base-finetuned-energy-tweets-fullsample is a fill-mask model from Saphbn. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Feb 16, 2024
- Updated
- Mar 10, 2024
- SHA
- a93ea395
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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. -->
distilroberta-base-finetuned-tweets-fullsample
This model is a fine-tuned version of Saphbn/distilroberta-base-finetuned-tweets-fullsample on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1873
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: 64
- eval_batch_size: 64
- seed: 111
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2589 | 1.0 | 715 | 2.2181 |
| 2.2097 | 2.0 | 1430 | 2.1982 |
| 2.1894 | 3.0 | 2145 | 2.1873 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Feb 16, 2024
- Updated
- Mar 10, 2024