Edit model card
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

This checkpoint has been trained with the Turkish part of the MLSUM dataset where google/mt5 is the main Pre-trained checkpoint. SimpleT5 library is used for training.

Here is the code snippet for training

model = SimpleT5()
model.from_pretrained("mt5","google/mt5-small")

model.train(train_df=train2, # pandas dataframe with 2 columns: source_text & target_text
            eval_df=validation2, # pandas dataframe with 2 columns: source_text & target_text
            source_max_token_len = 512, 
            target_max_token_len = 128,
            batch_size = 8,
            max_epochs = 5,
            use_gpu = True,
            outputdir = "mt5_mlsum_turkish",
            early_stopping_patience_epochs = 0,
            precision = 32
)
Downloads last month
23
Inference API
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.