nyu-mll/glue
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How to use YIMMYCRUZ/distilroberta-base-mrpc-glue with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="YIMMYCRUZ/distilroberta-base-mrpc-glue") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("YIMMYCRUZ/distilroberta-base-mrpc-glue")
model = AutoModelForSequenceClassification.from_pretrained("YIMMYCRUZ/distilroberta-base-mrpc-glue")YAML Metadata Error:"widget[0].text" must be a string
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This model is a fine-tuned version of distilroberta-base on the glue and the mrpc datasets. 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 | F1 |
|---|---|---|---|---|---|
| 0.508 | 1.09 | 500 | 0.6224 | 0.8088 | 0.8682 |
| 0.3303 | 2.18 | 1000 | 0.6322 | 0.8554 | 0.8963 |