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13_epoch_edu_model-finetuned-fintech
Pastushoc/13_epoch_edu_model-finetuned-fintech
13_epoch_edu_model-finetuned-fintech is a fill-mask model from Pastushoc. 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
- Apr 14, 2024
- Updated
- Apr 14, 2024
- SHA
- 6824177b
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Datasets
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. -->
13_epoch_edu_model-finetuned-fintech
This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.4475
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.7558 | 1.0 | 2069 | 4.5930 |
| 4.7273 | 2.0 | 4138 | 4.5102 |
| 4.6941 | 3.0 | 6207 | 4.4706 |
| 4.661 | 4.0 | 8276 | 4.4475 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Apr 14, 2024
- Updated
- Apr 14, 2024