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distilroberta-base-finetuned-wikitext2
EdBerg/distilroberta-base-finetuned-wikitext2
distilroberta-base-finetuned-wikitext2 is a machine learning model from EdBerg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Aug 31, 2024
- Updated
- Sep 1, 2024
- SHA
- 19a4305c
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-finetuned-wikitext2
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8611
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0838 | 1.0 | 2406 | 1.9361 |
| 1.9866 | 2.0 | 4812 | 1.8844 |
| 1.9442 | 3.0 | 7218 | 1.8355 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Tokenizers 0.19.1
- Type
- roberta
- License
- apache-2.0
- Created
- Aug 31, 2024
- Updated
- Sep 1, 2024