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M7_MLM_final
S2312dal/M7_MLM_final
M7_MLM_final is a fill-mask model from S2312dal. 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
- Jun 20, 2022
- Updated
- Jun 20, 2022
- SHA
- 5d479945
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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. -->
M7_MLM_final
This model is a fine-tuned version of sentence-transformers/all-distilroberta-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.4732
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 |
|---|---|---|---|
| 8.769 | 1.0 | 92 | 6.6861 |
| 6.3549 | 2.0 | 184 | 5.7455 |
| 5.826 | 3.0 | 276 | 5.5610 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Jun 20, 2022
- Updated
- Jun 20, 2022