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amazon_pretraining_5M_model_corrected
BigTMiami/amazon_pretraining_5M_model_corrected
amazon_pretraining_5M_model_corrected is a fill-mask model from BigTMiami. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Apr 9, 2024
- Updated
- Apr 9, 2024
- SHA
- 190b3105
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Base models
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. -->
amazon_pretraining_5M_model_corrected
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5161
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 11
- total_train_batch_size: 352
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8463 | 0.2 | 500 | 1.7300 |
| 1.7886 | 0.41 | 1000 | 1.6805 |
| 1.7154 | 0.61 | 1500 | 1.6059 |
| 1.6562 | 0.82 | 2000 | 1.5577 |
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
- roberta
- License
- mit
- Created
- Apr 9, 2024
- Updated
- Apr 9, 2024