Instructions to use prasadmathangi2233/instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prasadmathangi2233/instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "prasadmathangi2233/instruct") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 2994, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.1, | |
| "learning_rate": 0.00019989878688605225, | |
| "loss": 1.6802, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 0.00019959535242609772, | |
| "loss": 1.5884, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "learning_rate": 0.0001990903108510678, | |
| "loss": 1.5617, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "learning_rate": 0.00019838468449757217, | |
| "loss": 1.5139, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 0.00019747990173842118, | |
| "loss": 1.5259, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "learning_rate": 0.00019637779409122493, | |
| "loss": 1.4783, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "learning_rate": 0.00019508059251092087, | |
| "loss": 1.5202, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 0.0001935909228737363, | |
| "loss": 1.7727, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 0.00019191180066172584, | |
| "loss": 1.8033, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 0.00019004662485864503, | |
| "loss": 1.7674, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 0.00018799917106951565, | |
| "loss": 1.3627, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "learning_rate": 0.00018577358387781095, | |
| "loss": 1.3747, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 0.0001833743684557316, | |
| "loss": 1.3806, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "learning_rate": 0.00018080638144455567, | |
| "loss": 1.3878, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 0.00017807482112352263, | |
| "loss": 1.3824, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "learning_rate": 0.0001751852168871531, | |
| "loss": 1.4058, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "learning_rate": 0.00017214341805230388, | |
| "loss": 1.4329, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "learning_rate": 0.0001689555820176165, | |
| "loss": 1.4325, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "learning_rate": 0.00016562816179932748, | |
| "loss": 1.4175, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 0.0001621678929686709, | |
| "loss": 1.4092, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 2.1, | |
| "learning_rate": 0.00015858178001731577, | |
| "loss": 0.969, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "learning_rate": 0.00015487708217843755, | |
| "loss": 0.9795, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 2.3, | |
| "learning_rate": 0.0001510612987321264, | |
| "loss": 0.991, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "learning_rate": 0.00014714215382487735, | |
| "loss": 1.0001, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 2.51, | |
| "learning_rate": 0.00014312758083389192, | |
| "loss": 1.0092, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "learning_rate": 0.00013902570630784184, | |
| "loss": 1.0274, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 2.71, | |
| "learning_rate": 0.00013484483351660324, | |
| "loss": 1.0369, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "learning_rate": 0.00013059342564326052, | |
| "loss": 1.043, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 2.91, | |
| "learning_rate": 0.00012628008865240412, | |
| "loss": 1.0355, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 3.01, | |
| "learning_rate": 0.00012191355386940109, | |
| "loss": 1.0137, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 3.11, | |
| "learning_rate": 0.0001175912552720942, | |
| "loss": 0.5538, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 3.21, | |
| "learning_rate": 0.00011314555233691659, | |
| "loss": 0.5644, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 3.31, | |
| "learning_rate": 0.00010867323935600735, | |
| "loss": 0.5862, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "learning_rate": 0.00010418336946383338, | |
| "loss": 0.595, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 3.51, | |
| "learning_rate": 9.968503133465485e-05, | |
| "loss": 0.5974, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 3.61, | |
| "learning_rate": 9.518733078466463e-05, | |
| "loss": 0.5951, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 3.71, | |
| "learning_rate": 9.069937233942807e-05, | |
| "loss": 0.5998, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 3.81, | |
| "learning_rate": 8.623024080393546e-05, | |
| "loss": 0.5986, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "learning_rate": 8.178898287257368e-05, | |
| "loss": 0.5888, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 4.01, | |
| "learning_rate": 7.738458881624441e-05, | |
| "loss": 0.576, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 4.11, | |
| "learning_rate": 7.302597428369742e-05, | |
| "loss": 0.271, | |
| "step": 2050 | |
| }, | |
| { | |
| "epoch": 4.21, | |
| "learning_rate": 6.872196225391955e-05, | |
| "loss": 0.2735, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 4.31, | |
| "learning_rate": 6.448126517611075e-05, | |
| "loss": 0.2818, | |
| "step": 2150 | |
| }, | |
| { | |
| "epoch": 4.41, | |
| "learning_rate": 6.031246733340219e-05, | |
| "loss": 0.2814, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 4.51, | |
| "learning_rate": 5.6224007466015405e-05, | |
| "loss": 0.277, | |
| "step": 2250 | |
| }, | |
| { | |
| "epoch": 4.61, | |
| "learning_rate": 5.2224161689038975e-05, | |
| "loss": 0.275, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 4.71, | |
| "learning_rate": 4.8321026739400875e-05, | |
| "loss": 0.2763, | |
| "step": 2350 | |
| }, | |
| { | |
| "epoch": 4.81, | |
| "learning_rate": 4.4522503585949327e-05, | |
| "loss": 0.2766, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 4.91, | |
| "learning_rate": 4.083628143581959e-05, | |
| "loss": 0.2775, | |
| "step": 2450 | |
| }, | |
| { | |
| "epoch": 5.01, | |
| "learning_rate": 3.726982216946203e-05, | |
| "loss": 0.264, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 5.11, | |
| "learning_rate": 3.383034523583898e-05, | |
| "loss": 0.1316, | |
| "step": 2550 | |
| }, | |
| { | |
| "epoch": 5.21, | |
| "learning_rate": 3.052481303836647e-05, | |
| "loss": 0.1326, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 5.31, | |
| "learning_rate": 2.7359916841183754e-05, | |
| "loss": 0.1349, | |
| "step": 2650 | |
| }, | |
| { | |
| "epoch": 5.41, | |
| "learning_rate": 2.4342063224279566e-05, | |
| "loss": 0.1344, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 5.51, | |
| "learning_rate": 2.1477361114894035e-05, | |
| "loss": 0.1326, | |
| "step": 2750 | |
| }, | |
| { | |
| "epoch": 5.61, | |
| "learning_rate": 1.8771609421447622e-05, | |
| "loss": 0.1278, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 5.71, | |
| "learning_rate": 1.6230285295029556e-05, | |
| "loss": 0.129, | |
| "step": 2850 | |
| }, | |
| { | |
| "epoch": 5.81, | |
| "learning_rate": 1.3858533042207633e-05, | |
| "loss": 0.1282, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 5.91, | |
| "learning_rate": 1.166115371160218e-05, | |
| "loss": 0.1285, | |
| "step": 2950 | |
| } | |
| ], | |
| "logging_steps": 50, | |
| "max_steps": 3491, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 7, | |
| "save_steps": 500, | |
| "total_flos": 2.316912930642985e+17, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |