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xlm-roberta-base-finetuned-my_dear_watson
SmartPy/xlm-roberta-base-finetuned-my_dear_watson
xlm-roberta-base-finetuned-my_dear_watson is a fill-mask model from SmartPy. Use it when you need the model to fill a missing word. 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
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 9, 2022
- Updated
- Aug 9, 2022
- SHA
- ad8785d4
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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. -->
xlm-roberta-base-finetuned-my_dear_watson
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8264
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7977 | 1.0 | 240 | 1.9607 |
| 2.0249 | 2.0 | 480 | 1.8608 |
| 1.9661 | 3.0 | 720 | 1.8150 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Aug 9, 2022
- Updated
- Aug 9, 2022