rexarski/eli5_category
Updated • 474 • 20
How to use hugface34/my_awesome_eli5_mlm_model with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="hugface34/my_awesome_eli5_mlm_model") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("hugface34/my_awesome_eli5_mlm_model")
model = AutoModelForMaskedLM.from_pretrained("hugface34/my_awesome_eli5_mlm_model", 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:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2515 | 1.0 | 1320 | 2.0712 |
| 2.1569 | 2.0 | 2640 | 2.0356 |
| 2.1364 | 3.0 | 3960 | 2.0228 |
Base model
distilbert/distilroberta-base