Instructions to use dimasik87/f3490f67-50dd-4afa-b8b1-d4818ae92a24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/f3490f67-50dd-4afa-b8b1-d4818ae92a24 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-SOLAR-10.7B") model = PeftModel.from_pretrained(base_model, "dimasik87/f3490f67-50dd-4afa-b8b1-d4818ae92a24") - Notebooks
- Google Colab
- Kaggle
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| { | |
| "best_metric": NaN, | |
| "best_model_checkpoint": "miner_id_24/checkpoint-10", | |
| "epoch": 0.003823726221202562, | |
| "eval_steps": 5, | |
| "global_step": 10, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
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| "eval_loss": NaN, | |
| "eval_runtime": 189.2768, | |
| "eval_samples_per_second": 11.639, | |
| "eval_steps_per_second": 2.911, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.0011471178663607685, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.00012, | |
| "loss": 0.0, | |
| "step": 3 | |
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| "epoch": 0.001911863110601281, | |
| "eval_loss": NaN, | |
| "eval_runtime": 187.97, | |
| "eval_samples_per_second": 11.72, | |
| "eval_steps_per_second": 2.931, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.002294235732721537, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0001992114701314478, | |
| "loss": 0.0, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.0034413535990823058, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.00018763066800438636, | |
| "loss": 0.0, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.003823726221202562, | |
| "eval_loss": NaN, | |
| "eval_runtime": 186.9149, | |
| "eval_samples_per_second": 11.786, | |
| "eval_steps_per_second": 2.948, | |
| "step": 10 | |
| } | |
| ], | |
| "logging_steps": 3, | |
| "max_steps": 30, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 10, | |
| "stateful_callbacks": { | |
| "EarlyStoppingCallback": { | |
| "args": { | |
| "early_stopping_patience": 1, | |
| "early_stopping_threshold": 0.0 | |
| }, | |
| "attributes": { | |
| "early_stopping_patience_counter": 0 | |
| } | |
| }, | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.6509975316660224e+16, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |