Model Card for Model ID

This model has been created with Argilla, trained with Transformers.

This is a sample model finetuned from prajjwal1/bert-tiny.

Model training

Training the model using the ArgillaTrainer:

# Load the dataset:
dataset = FeedbackDataset.from_huggingface("argilla/emotion")

# Create the training task:
task = TrainingTask.for_text_classification(text=dataset.field_by_name("text"), label=dataset.question_by_name("label"))

# Create the ArgillaTrainer:
trainer = ArgillaTrainer(
 dataset=dataset,
 task=task,
 framework="transformers",
 model="prajjwal1/bert-tiny",
)

trainer.update_config({
 "logging_steps": 1,
 "num_train_epochs": 1,
 "output_dir": "tmp"
})

trainer.train(output_dir="None")

You can test the type of predictions of this model like so:

trainer.predict("This is awesome!")

Model Details

Model Description

Model trained with ArgillaTrainer for demo purposes

• Developed by: [More Information Needed]
• Shared by [optional]: [More Information Needed]
• Model type: Finetuned version of prajjwal1/bert-tiny for demo purposes
• Language(s) (NLP): ['en']
• License: apache-2.0
• Finetuned from model [optional]: prajjwal1/bert-tiny

Model Sources [optional]

• Repository: N/A

Technical Specifications [optional]

Framework Versions

• Python: 3.10.7
• Argilla: 1.19.0-dev