stanfordnlp/imdb
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How to use wrmurray/roberta-base-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="wrmurray/roberta-base-finetuned-imdb") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("wrmurray/roberta-base-finetuned-imdb")
model = AutoModelForSequenceClassification.from_pretrained("wrmurray/roberta-base-finetuned-imdb")This model is a fine-tuned version of roberta-base 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 | Accuracy |
|---|---|---|---|---|
| 0.1904 | 1.0 | 1563 | 0.1423 | 0.9517 |
| 0.1187 | 2.0 | 3126 | 0.1783 | 0.9552 |