Instructions to use badrben/Arabic_Open_Questions_5_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use badrben/Arabic_Open_Questions_5_6 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "badrben/Arabic_Open_Questions_5_6") - Transformers
How to use badrben/Arabic_Open_Questions_5_6 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("badrben/Arabic_Open_Questions_5_6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": 45, | |
| "best_metric": 34.025047302246094, | |
| "best_model_checkpoint": "./mbart-large-50-finetuned-question-generation-arab/checkpoint-45", | |
| "epoch": 3.0, | |
| "eval_steps": 500, | |
| "global_step": 45, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 37.02599334716797, | |
| "eval_runtime": 5.1623, | |
| "eval_samples_per_second": 5.811, | |
| "eval_steps_per_second": 1.55, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 35.49879455566406, | |
| "eval_runtime": 5.292, | |
| "eval_samples_per_second": 5.669, | |
| "eval_steps_per_second": 1.512, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_loss": 34.025047302246094, | |
| "eval_runtime": 5.4264, | |
| "eval_samples_per_second": 5.529, | |
| "eval_steps_per_second": 1.474, | |
| "step": 45 | |
| } | |
| ], | |
| "logging_steps": 50, | |
| "max_steps": 375, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 25, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 834934847569920.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |