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distilroberta-base-finetuned-topic-news
RamAnanth1/distilroberta-base-finetuned-topic-news
distilroberta-base-finetuned-topic-news is a text classification model from RamAnanth1. 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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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-topic-news
This model is a fine-tuned version of distilroberta-base on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.2729
- Accuracy: 0.9432
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2661 | 1.0 | 15000 | 0.2656 | 0.9372 |
| 0.2032 | 2.0 | 30000 | 0.2439 | 0.9411 |
| 0.1516 | 3.0 | 45000 | 0.2682 | 0.9426 |
| 0.108 | 4.0 | 60000 | 0.2729 | 0.9432 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Oct 1, 2022
- Updated
- Sep 11, 2023