rexarski/eli5_category
Updated โข 467 โข 20
How to use keagan2346/my_awesome_eli5_mlm_model with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="keagan2346/my_awesome_eli5_mlm_model") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("keagan2346/my_awesome_eli5_mlm_model")
model = AutoModelForMaskedLM.from_pretrained("keagan2346/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 |
|---|---|---|---|
| 2.2609 | 1.0 | 1320 | 2.0841 |
| 2.1863 | 2.0 | 2640 | 2.0358 |
| 2.1365 | 3.0 | 3960 | 2.0087 |
Base model
distilbert/distilroberta-base