Instructions to use xshubhamx/bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xshubhamx/bart-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xshubhamx/bart-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xshubhamx/bart-base") model = AutoModelForSequenceClassification.from_pretrained("xshubhamx/bart-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 0.6063644681337579, | |
| "best_model_checkpoint": "bart-base/checkpoint-643", | |
| "epoch": 1.0, | |
| "eval_steps": 500, | |
| "global_step": 643, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 4.871176775531364e-05, | |
| "loss": 1.2028, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7598760650658405, | |
| "eval_f1_macro": 0.6063644681337579, | |
| "eval_f1_micro": 0.7598760650658405, | |
| "eval_f1_weighted": 0.7489266744747745, | |
| "eval_loss": 0.8429557681083679, | |
| "eval_macro_fpr": 0.023226157303183535, | |
| "eval_macro_sensitivity": 0.6366904609623596, | |
| "eval_macro_specificity": 0.981694425945952, | |
| "eval_precision": 0.7600880594489849, | |
| "eval_precision_macro": 0.6003620126022547, | |
| "eval_recall": 0.7598760650658405, | |
| "eval_recall_macro": 0.6366904609623596, | |
| "eval_runtime": 43.5934, | |
| "eval_samples_per_second": 29.615, | |
| "eval_steps_per_second": 3.716, | |
| "eval_weighted_fpr": 0.02207348333808032, | |
| "eval_weighted_sensitivity": 0.7598760650658405, | |
| "eval_weighted_specificity": 0.9655403241234398, | |
| "step": 643 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 19290, | |
| "num_train_epochs": 30, | |
| "save_steps": 500, | |
| "total_flos": 1575916895250432.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |