Zero-Shot Classification
Transformers
TensorBoard
Safetensors
English
distilbert
text-classification
Generated from Trainer
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/DistilBERT_eco_ZeroShot")
model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/DistilBERT_eco_ZeroShot")Quick Links
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
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Model tree for AyoubChLin/DistilBERT_eco_ZeroShot
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="AyoubChLin/DistilBERT_eco_ZeroShot")