Text Classification
Transformers
PyTorch
TensorBoard
English
mobilebert
Generated from Trainer
Eval Results (legacy)
Instructions to use Alireza1044/mobilebert_mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza1044/mobilebert_mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alireza1044/mobilebert_mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alireza1044/mobilebert_mnli") model = AutoModelForSequenceClassification.from_pretrained("Alireza1044/mobilebert_mnli") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 1.3, | |
| "epoch_mm": 1.3, | |
| "eval_accuracy": 0.8187468160978095, | |
| "eval_accuracy_mm": 0.8230268510984541, | |
| "eval_loss": 0.4645940065383911, | |
| "eval_loss_mm": 0.45945975184440613, | |
| "eval_runtime": 55.0918, | |
| "eval_runtime_mm": 55.0721, | |
| "eval_samples": 9815, | |
| "eval_samples_mm": 9832, | |
| "eval_samples_per_second": 178.157, | |
| "eval_samples_per_second_mm": 178.53, | |
| "eval_steps_per_second": 22.272, | |
| "eval_steps_per_second_mm": 22.316 | |
| } |