cardiffnlp/tweet_eval
Viewer • Updated • 201k • 38.6k • 144
How to use TransferGraph/aXhyra_emotion_trained_31415-finetuned-lora-tweet_eval_hate with PEFT:
from peft import PeftModel
from transformers import AutoModelForSequenceClassification
base_model = AutoModelForSequenceClassification.from_pretrained("aXhyra/emotion_trained_31415")
model = PeftModel.from_pretrained(base_model, "TransferGraph/aXhyra_emotion_trained_31415-finetuned-lora-tweet_eval_hate")This model is a fine-tuned version of aXhyra/emotion_trained_31415 on the tweet_eval dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| accuracy | train_loss | epoch |
|---|---|---|
| 0.482 | None | 0 |
| 0.707 | 0.5609 | 0 |
| 0.743 | 0.4665 | 1 |
| 0.729 | 0.4313 | 2 |
| 0.748 | 0.4160 | 3 |
Base model
aXhyra/emotion_trained_31415