Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use FFZG-cleopatra/M2SA-text-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FFZG-cleopatra/M2SA-text-only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FFZG-cleopatra/M2SA-text-only")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FFZG-cleopatra/M2SA-text-only") model = AutoModelForSequenceClassification.from_pretrained("FFZG-cleopatra/M2SA-text-only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.79, | |
| "eval_f1": 0.6702519892656928, | |
| "eval_loss": 0.6971784234046936, | |
| "eval_precision": 0.6686766810877821, | |
| "eval_recall": 0.6729106735558349, | |
| "eval_runtime": 5.8753, | |
| "eval_samples_per_second": 149.44, | |
| "eval_steps_per_second": 9.361, | |
| "seed": 42, | |
| "test_size": 9078, | |
| "train_size": 133046, | |
| "valid_size": 878 | |
| } |