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
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Model tree for RamAnanth1/distilroberta-base-finetuned-topic-news
Base model
distilbert/distilroberta-base