rexarski/eli5_category
Updated • 549 • 19
How to use david-hcl/my_awesome_eli5_mlm_model with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="david-hcl/my_awesome_eli5_mlm_model") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("david-hcl/my_awesome_eli5_mlm_model")
model = AutoModelForMaskedLM.from_pretrained("david-hcl/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 |
|---|---|---|---|
| 2.2478 | 1.0 | 1312 | 2.0813 |
| 2.1868 | 2.0 | 2624 | 2.0315 |
| 2.115 | 3.0 | 3936 | 2.0230 |
Base model
distilbert/distilroberta-base