e9t/nsmc
Updated • 488 • 17
How to use jiiyy/funnel with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="jiiyy/funnel") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("jiiyy/funnel")
model = AutoModelForSequenceClassification.from_pretrained("jiiyy/funnel")This model is a fine-tuned version of kykim/funnel-kor-base on the nsmc 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 |
|---|---|---|---|---|
| 0.2492 | 1.0 | 9375 | 0.2348 | 0.9115 |
| 0.1987 | 2.0 | 18750 | 0.2525 | 0.9161 |
| 0.186 | 3.0 | 28125 | 0.2751 | 0.9164 |
Base model
kykim/funnel-kor-base