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tiny-mlm-tweet_eval-from-scratch
muhtasham/tiny-mlm-tweet_eval-from-scratch
tiny-mlm-tweet_eval-from-scratch 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 20, 2023
- Updated
- Jan 20, 2023
- SHA
- 26d1e3bb
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-tweet_eval-from-scratch
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.7527
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 |
|---|---|---|---|
| 9.5747 | 1.23 | 500 | 8.8154 |
| 8.1806 | 2.45 | 1000 | 7.9720 |
| 7.6582 | 3.68 | 1500 | 7.8750 |
| 7.4518 | 4.9 | 2000 | 7.5779 |
| 7.3608 | 6.13 | 2500 | 7.7314 |
| 7.3106 | 7.35 | 3000 | 7.7338 |
| 7.2508 | 8.58 | 3500 | 7.7527 |
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 20, 2023
- Updated
- Jan 20, 2023