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tiny-mlm-snli-from-scratch-custom-tokenizer
muhtasham/tiny-mlm-snli-from-scratch-custom-tokenizer
tiny-mlm-snli-from-scratch-custom-tokenizer is a fill-mask model from muhtasham. 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
- bert
- Access
- Public
- Created
- Jan 19, 2023
- Updated
- Jan 19, 2023
- SHA
- 31d3bfac
Try a prompt
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. -->
tiny-mlm-snli-from-scratch-custom-tokenizer
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.8653
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.5662 | 0.4 | 500 | 6.9015 |
| 6.244 | 0.8 | 1000 | 6.2808 |
| 5.7261 | 1.2 | 1500 | 6.0693 |
| 5.5705 | 1.6 | 2000 | 6.1026 |
| 5.4875 | 2.0 | 2500 | 6.0050 |
| 5.3792 | 2.4 | 3000 | 5.9327 |
| 5.318 | 2.8 | 3500 | 5.9083 |
| 5.294 | 3.2 | 4000 | 5.8751 |
| 5.2403 | 3.6 | 4500 | 5.8573 |
| 5.1567 | 4.0 | 5000 | 5.8653 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Jan 19, 2023
- Updated
- Jan 19, 2023