Edit model card

agnews_padding70model

This model is a fine-tuned version of distilbert-base-uncased on the ag_news dataset.

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 0.01

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.01 75 0.4825 0.8867

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.0+cu117
  • Datasets 2.14.6
  • Tokenizers 0.14.1
Downloads last month
4
Safetensors
Model size
67M params
Tensor type
F32
·
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 Realgon/agnews_padding70model

Finetuned
(6598)
this model

Dataset used to train Realgon/agnews_padding70model