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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
{"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["teknium/dataforge-economics"], "base_model": "AyoubChLin/disitilbert_zeroshot_economics", "pipeline_tag": "zero-shot-classification", "model-index": [{"name": "disitilbert_zeroshot_economics", "results": []}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer zero-shot-classification en dataset:teknium/dataforge-economics base_model:AyoubChLin/disitilbert_zeroshot_economics license:apache-2.0 autotrain_compatible endpoints_compatible region:us