rexarski/eli5_category
Updated • 522 • 20
How to use Dhmo1900/my_awesome_eli5_mlm_model with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="Dhmo1900/my_awesome_eli5_mlm_model") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("Dhmo1900/my_awesome_eli5_mlm_model")
model = AutoModelForMaskedLM.from_pretrained("Dhmo1900/my_awesome_eli5_mlm_model")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:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.251 | 1.0 | 1305 | 2.0583 |
| 2.186 | 2.0 | 2610 | 2.0329 |
| 2.1228 | 3.0 | 3915 | 2.0040 |
Base model
distilbert/distilroberta-base