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Bert-MLM-fine-tuned-model
AmalNlal/Bert-MLM-fine-tuned-model
Bert-MLM-fine-tuned-model is a fill-mask model from AmalNlal. 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
- bert
- Access
- Public
- Created
- May 3, 2024
- Updated
- May 4, 2024
- SHA
- 01ce3b4f
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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. -->
Bert-MLM-fine-tuned-model
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0875
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: 10
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 2602 | 1.2972 |
| No log | 2.0 | 5204 | 1.2412 |
| No log | 3.0 | 7806 | 1.2068 |
| No log | 4.0 | 10408 | 1.1855 |
| No log | 5.0 | 13010 | 1.1598 |
| No log | 6.0 | 15612 | 1.1328 |
| No log | 7.0 | 18214 | 1.1244 |
| No log | 8.0 | 20816 | 1.1161 |
| No log | 9.0 | 23418 | 1.1013 |
| No log | 10.0 | 26020 | 1.0875 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 3, 2024
- Updated
- May 4, 2024