README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - ag_news
metrics:
  - accuracy
model-index:
  - name: distilroberta-base-finetuned-topic-news
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: ag_news
          type: ag_news
          config: default
          split: train
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9431578947368421

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