rexarski/eli5_category
Updated • 404 • 20
How to use madanagrawal/masked_language_modeling with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="madanagrawal/masked_language_modeling") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("madanagrawal/masked_language_modeling")
model = AutoModelForMaskedLM.from_pretrained("madanagrawal/masked_language_modeling", device_map="auto")This model is a fine-tuned version of distilbert/distilroberta-base on the eli5_category dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.17 | 1.0 | 5558 | 2.0378 |
| 2.1192 | 2.0 | 11116 | 1.9942 |
| 2.1043 | 3.0 | 16674 | 1.9766 |
Base model
distilbert/distilroberta-base