Yelp/yelp_review_full
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How to use jahb57/test_trainer with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="jahb57/test_trainer") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("jahb57/test_trainer")
model = AutoModelForSequenceClassification.from_pretrained("jahb57/test_trainer")This model is a fine-tuned version of gpt2 on the yelp_review_full 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 |
|---|---|---|---|---|
| No log | 1.0 | 250 | 1.1204 | 0.515 |
| 1.2411 | 2.0 | 500 | 1.0231 | 0.57 |
| 1.2411 | 3.0 | 750 | 1.0617 | 0.584 |