distilbert-base-uncased-finetuned-ccnews

This model is a fine-tuned version of distilbert-base-uncased on the cc_news dataset. It achieves the following results on the evaluation set:

• Loss: 2.5185

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: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.7553	1.0	157	2.5523
2.6507	2.0	314	2.5219
2.606	3.0	471	2.5416

Framework versions

• Transformers 4.26.0
• Pytorch 1.12.1+cu102
• Datasets 2.9.0
• Tokenizers 0.13.2