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distilroberta-base-ft-kotakuinaction
jkruk/distilroberta-base-ft-kotakuinaction
distilroberta-base-ft-kotakuinaction is a fill-mask model from jkruk. 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
- roberta
- Access
- Public
- Created
- Sep 18, 2023
- Updated
- Sep 20, 2023
- SHA
- 0eaa5057
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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. -->
distilroberta-base-ft-kotakuinaction
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2821
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.675 | 0.19 | 200 | 3.3778 |
| 3.5077 | 0.39 | 400 | 3.3382 |
| 3.5078 | 0.58 | 600 | 3.3019 |
| 3.4798 | 0.78 | 800 | 3.3121 |
| 3.4433 | 0.97 | 1000 | 3.2911 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Sep 18, 2023
- Updated
- Sep 20, 2023