Instructions to use evgmaslov/Mistral-Nemo-Instruct-2407-cars with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use evgmaslov/Mistral-Nemo-Instruct-2407-cars with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "evgmaslov/Mistral-Nemo-Instruct-2407-cars") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 0.013731677085161209, | |
| "best_model_checkpoint": "evgmaslov/Mistral-Nemo-Instruct-2407-cars/checkpoint-400", | |
| "epoch": 0.5006257822277848, | |
| "eval_steps": 100, | |
| "global_step": 400, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.1251564455569462, | |
| "eval_loss": 0.01457285601645708, | |
| "eval_runtime": 5.3356, | |
| "eval_samples_per_second": 5.997, | |
| "eval_steps_per_second": 0.375, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.2503128911138924, | |
| "eval_loss": 0.013980938121676445, | |
| "eval_runtime": 5.3203, | |
| "eval_samples_per_second": 6.015, | |
| "eval_steps_per_second": 0.376, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.37546933667083854, | |
| "eval_loss": 0.013807659968733788, | |
| "eval_runtime": 5.3235, | |
| "eval_samples_per_second": 6.011, | |
| "eval_steps_per_second": 0.376, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.5006257822277848, | |
| "eval_loss": 0.013731677085161209, | |
| "eval_runtime": 5.3205, | |
| "eval_samples_per_second": 6.014, | |
| "eval_steps_per_second": 0.376, | |
| "step": 400 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2397, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 100, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 4.567603230015488e+17, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |