Text Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use Elron/deberta-v3-large-irony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elron/deberta-v3-large-irony with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Elron/deberta-v3-large-irony")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Elron/deberta-v3-large-irony") model = AutoModelForSequenceClassification.from_pretrained("Elron/deberta-v3-large-irony", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 9.99, | |
| "eval_accuracy": 0.7675392627716064, | |
| "eval_loss": 0.7672834396362305, | |
| "eval_runtime": 6.3297, | |
| "eval_samples": 955, | |
| "eval_samples_per_second": 150.876, | |
| "eval_steps_per_second": 9.479, | |
| "train_loss": 0.33834649632486063, | |
| "train_runtime": 677.9414, | |
| "train_samples": 2862, | |
| "train_samples_per_second": 42.216, | |
| "train_steps_per_second": 1.313 | |
| } |