Instructions to use dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e: direct link, hf CLI and curl.
- Browser
- Download file 1.59 kB
-
https://huggingface.co/dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e/resolve/738123a46ced0fadb4b211986ee480aecac3a64c/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e@738123a46ced0fadb4b211986ee480aecac3a64c/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/dimasik1987/7edb2adf-1ded-408b-9df4-36991c64fb3e/resolve/738123a46ced0fadb4b211986ee480aecac3a64c/last-checkpoint/trainer_state.json
1.59 kB
Invalid JSON:Unexpected token 'N', ..."al_loss": NaN,
"... is not valid JSON
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.00035904386618435105, | |
| "eval_steps": 8, | |
| "global_step": 10, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 3.590438661843511e-05, | |
| "eval_loss": NaN, | |
| "eval_runtime": 354.8555, | |
| "eval_samples_per_second": 33.047, | |
| "eval_steps_per_second": 16.525, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.00010771315985530532, | |
| "grad_norm": NaN, | |
| "learning_rate": 6e-05, | |
| "loss": 0.0, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.00021542631971061064, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.00012, | |
| "loss": 0.0, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.00028723509294748087, | |
| "eval_loss": NaN, | |
| "eval_runtime": 351.1635, | |
| "eval_samples_per_second": 33.395, | |
| "eval_steps_per_second": 16.699, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.00032313947956591596, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.00018, | |
| "loss": 0.0, | |
| "step": 9 | |
| } | |
| ], | |
| "logging_steps": 3, | |
| "max_steps": 30, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 10, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 211780325867520.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |