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roberta-perigon200k
judy93536/roberta-perigon200k
roberta-perigon200k is a fill-mask model from judy93536. 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
- Sep 9, 2023
- Updated
- Sep 9, 2023
- SHA
- 716053a2
Try a prompt
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. -->
roberta-base-pretrained-perigon200k
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9840
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: 8.5e-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
- lr_scheduler_warmup_ratio: 0.19
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4678 | 1.0 | 5480 | 1.3180 |
| 1.3713 | 2.0 | 10960 | 1.2695 |
| 1.2673 | 3.0 | 16440 | 1.1842 |
| 1.211 | 4.0 | 21920 | 1.1350 |
| 1.1646 | 5.0 | 27400 | 1.0997 |
| 1.1181 | 6.0 | 32880 | 1.0630 |
| 1.0859 | 7.0 | 38360 | 1.0344 |
| 1.0561 | 8.0 | 43840 | 1.0126 |
| 1.0244 | 9.0 | 49320 | 0.9944 |
| 1.0006 | 10.0 | 54800 | 0.9881 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Sep 9, 2023
- Updated
- Sep 9, 2023