Edit model card

FT_RoBERTa

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: 0.1636

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: 1.5

Training results

Training Loss Epoch Step Validation Loss
0.1388 1.0 3750 0.1679
0.1229 1.5 5625 0.1636

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1
Downloads last month
2
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for MingDing2012/FT_RoBERTa

Finetuned
(1267)
this model

Dataset used to train MingDing2012/FT_RoBERTa