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bert-base-mlm-finetuned-emotion
muhtasham/bert-base-mlm-finetuned-emotion
bert-base-mlm-finetuned-emotion 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. 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
- Dec 1, 2022
- Updated
- Dec 2, 2022
- SHA
- cf576c77
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. -->
bert-base-mlm-finetuned-emotion
This model is a fine-tuned version of google/bert_uncased_L-12_H-768_A-12 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3374
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
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4247 | 5.75 | 500 | 2.3526 |
| 2.1825 | 11.49 | 1000 | 2.2778 |
| 2.0578 | 17.24 | 1500 | 2.3802 |
| 1.9059 | 22.99 | 2000 | 2.3358 |
| 1.7966 | 28.74 | 2500 | 2.3374 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 1, 2022
- Updated
- Dec 2, 2022