---
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
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# disitilbert_zeroshot_economics

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.


## Training and evaluation data

train on [teknium/dataforge-economics](https://huggingface.co/datasets/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