Model Card for Model ID

This model has been created with Argilla, trained with Spacy Explosion.

Model training

Training the model using the ArgillaTrainer:

# Load the dataset:
dataset = FeedbackDataset.from_argilla("...")

# Create the training task:
def formatting_func(sample):
    text = sample["text"]
    label = sample["label"][0]["value"]
    return(text, label)

task = TrainingTask.for_text_classification(formatting_func=formatting_func)

# Create the ArgillaTrainer:
trainer = ArgillaTrainer(
    dataset=dataset,
    task=task,
    framework="spacy",
    lang="en",
    gpu_id=-1,
    framework_kwargs={'optimize': 'efficiency', 'freeze_tok2vec': False},
)

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

Developed by: [More Information Needed]
Shared by [optional]: [More Information Needed]
Model type: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Finetuned from model [optional]: [More Information Needed]

Technical Specifications [optional]

Framework Versions

Python: 3.9.19
Argilla: 1.28.0