cardiffnlp/tweet_eval
Viewer • Updated • 201k • 28.8k • 147
How to use TransferGraph/connectivity_cola_6ep_ft-33-finetuned-lora-tweet_eval_irony with PEFT:
from peft import PeftModel
from transformers import AutoModelForSequenceClassification
base_model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-33")
model = PeftModel.from_pretrained(base_model, "TransferGraph/connectivity_cola_6ep_ft-33-finetuned-lora-tweet_eval_irony")This model is a fine-tuned version of connectivity/cola_6ep_ft-33 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 |
|---|---|---|
| 0.4942 | None | 0 |
| 0.5508 | 0.7507 | 0 |
| 0.5728 | 0.6699 | 1 |
| 0.5979 | 0.6398 | 2 |
| 0.6199 | 0.6192 | 3 |
| 0.6178 | 0.5931 | 4 |
| 0.6293 | 0.5765 | 5 |
| 0.6398 | 0.5584 | 6 |
| 0.6419 | 0.5531 | 7 |
Base model
connectivity/cola_6ep_ft-33