Netizine/icis_roberta_mlm

roberta-icis-mlm

This model is a fine-tuned version of roberta-large on the Netizine/training_data dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 128
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.53.1
• Pytorch 2.6.0+cu124
• Datasets 4.0.0
• Tokenizers 0.21.2

Usage

from transformers import AutoTokenizer, AutoModelForMaskedLM, pipeline
tok = AutoTokenizer.from_pretrained("Netizine/roberta-icis-mlm")
mlm = AutoModelForMaskedLM.from_pretrained("Netizine/roberta-icis-mlm")
pipe = pipeline("fill-mask", model=mlm, tokenizer=tok)
pipe("What's the price for <mask> Butadiene Styrene in Europe?")