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nlp_robertuito_uncased
ArtCad98/nlp_robertuito_uncased
nlp_robertuito_uncased is a fill-mask model from ArtCad98. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Oct 16, 2023
- Updated
- Oct 17, 2023
- SHA
- 0cd3654f
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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. -->
nlp_robertuito_uncased
This model is a fine-tuned version of pysentimiento/robertuito-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8125
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: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|---|---|---|---|
| 1.01 | 1.0 | 6727 | 0.9409 |
| 0.9003 | 2.0 | 13454 | 0.8442 |
| 0.8679 | 3.0 | 20181 | 0.8115 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Oct 16, 2023
- Updated
- Oct 17, 2023