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roberta-base_ag_news_202310232117
AnonymousAuthorConfSubmission/roberta-base_ag_news_202310232117
roberta-base_ag_news_202310232117 is a text classification model from AnonymousAuthorConfSubmission. Use it when you need a label for a piece of text. 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
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Oct 23, 2023
- Updated
- Oct 24, 2023
- SHA
- b387f96f
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Base models
Datasets
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_ag_news_202310232117
This model is a fine-tuned version of roberta-base on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.1768
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1716 | 1.0 | 3750 | 0.2142 |
| 0.1584 | 2.0 | 7500 | 0.1768 |
| 0.1115 | 3.0 | 11250 | 0.1814 |
| 0.1085 | 4.0 | 15000 | 0.1909 |
| 0.0313 | 5.0 | 18750 | 0.2375 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Oct 23, 2023
- Updated
- Oct 24, 2023