cardiffnlp/tweet_eval
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How to use TransferGraph/aXhyra_presentation_emotion_31415-finetuned-lora-tweet_eval_irony with PEFT:
from peft import PeftModel
from transformers import AutoModelForSequenceClassification
base_model = AutoModelForSequenceClassification.from_pretrained("aXhyra/presentation_emotion_31415")
model = PeftModel.from_pretrained(base_model, "TransferGraph/aXhyra_presentation_emotion_31415-finetuned-lora-tweet_eval_irony")This model is a fine-tuned version of aXhyra/presentation_emotion_31415 on the tweet_eval dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| accuracy | train_loss | epoch |
|---|---|---|
| 0.5403 | None | 0 |
| 0.6094 | 0.6959 | 0 |
| 0.6356 | 0.6475 | 1 |
| 0.6304 | 0.6034 | 2 |
| 0.6482 | 0.5717 | 3 |
| 0.6429 | 0.5450 | 4 |
| 0.6356 | 0.5305 | 5 |
| 0.6461 | 0.5042 | 6 |
| 0.6461 | 0.4962 | 7 |
Base model
aXhyra/presentation_emotion_31415