stanfordnlp/imdb
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How to use ShinDC/distilbert-base-cased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="ShinDC/distilbert-base-cased-finetuned-imdb") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("ShinDC/distilbert-base-cased-finetuned-imdb")
model = AutoModelForMaskedLM.from_pretrained("ShinDC/distilbert-base-cased-finetuned-imdb")This model is a fine-tuned version of distilbert-base-cased on the imdb 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 |
|---|---|---|---|
| 2.6864 | 1.0 | 313 | 2.4511 |
| 2.5348 | 2.0 | 626 | 2.4123 |
| 2.4918 | 3.0 | 939 | 2.3783 |
Base model
distilbert/distilbert-base-cased