Instructions to use selectorseb/s2-oracle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use selectorseb/s2-oracle with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meetkai/functionary-small-v3.2") model = PeftModel.from_pretrained(base_model, "selectorseb/s2-oracle") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 20.0, | |
| "eval_steps": 5, | |
| "global_step": 20, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 22.02356719970703, | |
| "learning_rate": 2e-05, | |
| "loss": 1.2546, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 21.681835174560547, | |
| "learning_rate": 1.9863613034027224e-05, | |
| "loss": 1.2546, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 12.661576271057129, | |
| "learning_rate": 1.9458172417006347e-05, | |
| "loss": 1.1806, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 9.024881362915039, | |
| "learning_rate": 1.879473751206489e-05, | |
| "loss": 1.0682, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 8.294164657592773, | |
| "learning_rate": 1.789140509396394e-05, | |
| "loss": 0.9835, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9387755102040817, | |
| "eval_accuracy_<|content|>": 0.0, | |
| "eval_accuracy_<|from|>": -1, | |
| "eval_accuracy_<|recipient|>": -1, | |
| "eval_accuracy_<|stop|>": 0.0, | |
| "eval_accuracy_first_token": 1.0, | |
| "eval_accuracy_first_token_get": 1.0, | |
| "eval_accuracy_first_token_get_total": 2, | |
| "eval_accuracy_total_num_<|content|>": 2, | |
| "eval_accuracy_total_num_<|from|>": 0, | |
| "eval_accuracy_total_num_<|recipient|>": 0, | |
| "eval_accuracy_total_num_<|stop|>": 2, | |
| "eval_first_token_param_values": 0.9, | |
| "eval_first_token_param_values_total": 10, | |
| "eval_loss": 0.8951861262321472, | |
| "eval_perplexity": 1.010767880290677, | |
| "eval_runtime": 0.8904, | |
| "eval_samples_per_second": 1.123, | |
| "eval_steps_per_second": 1.123, | |
| "eval_total_number_first_token": 2, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 8.226706504821777, | |
| "learning_rate": 1.6772815716257414e-05, | |
| "loss": 0.8936, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 8.382328987121582, | |
| "learning_rate": 1.5469481581224274e-05, | |
| "loss": 0.8304, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 7.861330986022949, | |
| "learning_rate": 1.4016954246529697e-05, | |
| "loss": 0.7703, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "grad_norm": 7.340066909790039, | |
| "learning_rate": 1.2454854871407993e-05, | |
| "loss": 0.7171, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "grad_norm": 6.915948390960693, | |
| "learning_rate": 1.0825793454723325e-05, | |
| "loss": 0.6641, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.9489795918367347, | |
| "eval_accuracy_<|content|>": 0.0, | |
| "eval_accuracy_<|from|>": -1, | |
| "eval_accuracy_<|recipient|>": -1, | |
| "eval_accuracy_<|stop|>": 0.0, | |
| "eval_accuracy_first_token": 1.0, | |
| "eval_accuracy_first_token_get": 1.0, | |
| "eval_accuracy_first_token_get_total": 2, | |
| "eval_accuracy_total_num_<|content|>": 2, | |
| "eval_accuracy_total_num_<|from|>": 0, | |
| "eval_accuracy_total_num_<|recipient|>": 0, | |
| "eval_accuracy_total_num_<|stop|>": 2, | |
| "eval_first_token_param_values": 0.9, | |
| "eval_first_token_param_values_total": 10, | |
| "eval_loss": 0.6229805946350098, | |
| "eval_perplexity": 1.0074814049420708, | |
| "eval_runtime": 0.8828, | |
| "eval_samples_per_second": 1.133, | |
| "eval_steps_per_second": 1.133, | |
| "eval_total_number_first_token": 2, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "grad_norm": 6.680131912231445, | |
| "learning_rate": 9.174206545276678e-06, | |
| "loss": 0.6224, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "grad_norm": 5.9928297996521, | |
| "learning_rate": 7.545145128592009e-06, | |
| "loss": 0.5933, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "grad_norm": 5.214223861694336, | |
| "learning_rate": 5.983045753470308e-06, | |
| "loss": 0.5704, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "grad_norm": 4.801523685455322, | |
| "learning_rate": 4.530518418775734e-06, | |
| "loss": 0.5552, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "grad_norm": 4.650667667388916, | |
| "learning_rate": 3.2271842837425917e-06, | |
| "loss": 0.545, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.9489795918367347, | |
| "eval_accuracy_<|content|>": 0.0, | |
| "eval_accuracy_<|from|>": -1, | |
| "eval_accuracy_<|recipient|>": -1, | |
| "eval_accuracy_<|stop|>": 0.0, | |
| "eval_accuracy_first_token": 1.0, | |
| "eval_accuracy_first_token_get": 1.0, | |
| "eval_accuracy_first_token_get_total": 2, | |
| "eval_accuracy_total_num_<|content|>": 2, | |
| "eval_accuracy_total_num_<|from|>": 0, | |
| "eval_accuracy_total_num_<|recipient|>": 0, | |
| "eval_accuracy_total_num_<|stop|>": 2, | |
| "eval_first_token_param_values": 0.9, | |
| "eval_first_token_param_values_total": 10, | |
| "eval_loss": 0.5376743674278259, | |
| "eval_perplexity": 1.006453660117816, | |
| "eval_runtime": 0.8811, | |
| "eval_samples_per_second": 1.135, | |
| "eval_steps_per_second": 1.135, | |
| "eval_total_number_first_token": 2, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "grad_norm": 4.648330211639404, | |
| "learning_rate": 2.1085949060360654e-06, | |
| "loss": 0.5376, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "grad_norm": 4.580282211303711, | |
| "learning_rate": 1.2052624879351105e-06, | |
| "loss": 0.5339, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "grad_norm": 4.567606449127197, | |
| "learning_rate": 5.418275829936537e-07, | |
| "loss": 0.5301, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "grad_norm": 4.5482001304626465, | |
| "learning_rate": 1.3638696597277678e-07, | |
| "loss": 0.528, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "grad_norm": 4.52694034576416, | |
| "learning_rate": 0.0, | |
| "loss": 0.5258, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.9489795918367347, | |
| "eval_accuracy_<|content|>": 0.0, | |
| "eval_accuracy_<|from|>": -1, | |
| "eval_accuracy_<|recipient|>": -1, | |
| "eval_accuracy_<|stop|>": 0.0, | |
| "eval_accuracy_first_token": 1.0, | |
| "eval_accuracy_first_token_get": 1.0, | |
| "eval_accuracy_first_token_get_total": 2, | |
| "eval_accuracy_total_num_<|content|>": 2, | |
| "eval_accuracy_total_num_<|from|>": 0, | |
| "eval_accuracy_total_num_<|recipient|>": 0, | |
| "eval_accuracy_total_num_<|stop|>": 2, | |
| "eval_first_token_param_values": 0.9, | |
| "eval_first_token_param_values_total": 10, | |
| "eval_loss": 0.5257245302200317, | |
| "eval_perplexity": 1.0063097771319383, | |
| "eval_runtime": 0.8846, | |
| "eval_samples_per_second": 1.131, | |
| "eval_steps_per_second": 1.131, | |
| "eval_total_number_first_token": 2, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "step": 20, | |
| "total_flos": 7935331915530240.0, | |
| "train_loss": 0.7579435586929322, | |
| "train_runtime": 380.9512, | |
| "train_samples_per_second": 0.053, | |
| "train_steps_per_second": 0.053 | |
| } | |
| ], | |
| "logging_steps": 1.0, | |
| "max_steps": 20, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 20, | |
| "save_steps": 5, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 7935331915530240.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |