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mlm
f-seraj71/mlm
mlm is a fill-mask model from f-seraj71. 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
- Jul 11, 2024
- Updated
- Jul 15, 2024
- SHA
- faaa04cc
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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. -->
mlm
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.6448
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3365 | 2.1739 | 100 | 4.2522 |
| 2.2685 | 4.3478 | 200 | 4.4035 |
| 2.2671 | 6.5217 | 300 | 4.6664 |
| 2.2098 | 8.6957 | 400 | 4.3654 |
| 2.1098 | 10.8696 | 500 | 4.5015 |
| 2.0928 | 13.0435 | 600 | 4.6692 |
| 1.9925 | 15.2174 | 700 | 4.5303 |
| 1.9345 | 17.3913 | 800 | 4.5046 |
| 1.895 | 19.5652 | 900 | 4.4449 |
| 1.8184 | 21.7391 | 1000 | 4.6315 |
| 1.7848 | 23.9130 | 1100 | 4.3992 |
| 1.6882 | 26.0870 | 1200 | 4.5161 |
| 1.6321 | 28.2609 | 1300 | 4.4619 |
| 1.5764 | 30.4348 | 1400 | 4.3926 |
| 1.5599 | 32.6087 | 1500 | 4.5671 |
| 1.5019 | 34.7826 | 1600 | 4.6053 |
| 1.4319 | 36.9565 | 1700 | 4.6624 |
| 1.3862 | 39.1304 | 1800 | 4.5250 |
| 1.3343 | 41.3043 | 1900 | 4.4262 |
| 1.3174 | 43.4783 | 2000 | 4.6491 |
| 1.2386 | 45.6522 | 2100 | 4.3157 |
| 1.2019 | 47.8261 | 2200 | 4.6977 |
| 1.1498 | 50.0 | 2300 | 4.3964 |
| 1.1099 | 52.1739 | 2400 | 4.6960 |
| 1.1246 | 54.3478 | 2500 | 4.7397 |
| 1.0449 | 56.5217 | 2600 | 4.3909 |
| 1.014 | 58.6957 | 2700 | 4.5703 |
| 0.9593 | 60.8696 | 2800 | 4.7871 |
| 0.9302 | 63.0435 | 2900 | 4.5844 |
| 0.9194 | 65.2174 | 3000 | 4.7409 |
| 0.8594 | 67.3913 | 3100 | 4.7251 |
| 0.831 | 69.5652 | 3200 | 4.5278 |
| 0.8152 | 71.7391 | 3300 | 4.6695 |
| 0.8082 | 73.9130 | 3400 | 4.5366 |
| 0.7407 | 76.0870 | 3500 | 4.7395 |
| 0.724 | 78.2609 | 3600 | 4.8780 |
| 0.6892 | 80.4348 | 3700 | 4.6850 |
| 0.6709 | 82.6087 | 3800 | 4.6448 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Jul 11, 2024
- Updated
- Jul 15, 2024