metadata

license: apache-2.0
base_model: AyoubChLin/disitilbert_zeroshot_economics
tags:
  - generated_from_trainer
model-index:
  - name: disitilbert_zeroshot_economics
    results: []
datasets:
  - teknium/dataforge-economics
language:
  - en
pipeline_tag: zero-shot-classification

disitilbert_zeroshot_economics

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.

Training and evaluation data

train on teknium/dataforge-economics on the task of zeroshot

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-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
num_epochs: 5

Training results

eval loss : 0.0503

Framework versions

Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.16.1
Tokenizers 0.15.0