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distilroberta-pr200k-phrase-5k
judy93536/distilroberta-pr200k-phrase-5k
distilroberta-pr200k-phrase-5k is a text classification model from judy93536. Use it when you need a label for a piece of text. 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
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Sep 16, 2023
- Updated
- Sep 16, 2023
- SHA
- 36a57936
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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-pr200k-phrase-5k
This model is a fine-tuned version of judy93536/distilroberta-pr200k-ep20 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1609
- Accuracy: 0.9429
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: 8.103335054745316e-06
- 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
- lr_scheduler_warmup_ratio: 0.28
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 125 | 0.5568 | 0.7518 |
| No log | 2.0 | 250 | 0.2015 | 0.9319 |
| No log | 3.0 | 375 | 0.1609 | 0.9429 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Sep 16, 2023
- Updated
- Sep 16, 2023