Instructions to use mamung/29b84e13-2f1c-406f-9e7e-fd35b6e5ff49 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mamung/29b84e13-2f1c-406f-9e7e-fd35b6e5ff49 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "mamung/29b84e13-2f1c-406f-9e7e-fd35b6e5ff49") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from mamung/29b84e13-2f1c-406f-9e7e-fd35b6e5ff49: direct link, hf CLI and curl.
- Browser
- Download file 1.67 kB
-
https://huggingface.co/mamung/29b84e13-2f1c-406f-9e7e-fd35b6e5ff49/resolve/bd9bdbcf8c8e7ab05ca53ac54a70d6c7c0311d8c/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://mamung/29b84e13-2f1c-406f-9e7e-fd35b6e5ff49@bd9bdbcf8c8e7ab05ca53ac54a70d6c7c0311d8c/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/mamung/29b84e13-2f1c-406f-9e7e-fd35b6e5ff49/resolve/bd9bdbcf8c8e7ab05ca53ac54a70d6c7c0311d8c/last-checkpoint/trainer_state.json
1.67 kB
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.00018019370823635407, | |
| "eval_steps": 3, | |
| "global_step": 3, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 6.006456941211803e-05, | |
| "grad_norm": 0.18168316781520844, | |
| "learning_rate": 2e-05, | |
| "loss": 1.668, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 6.006456941211803e-05, | |
| "eval_loss": 1.6562931537628174, | |
| "eval_runtime": 601.6426, | |
| "eval_samples_per_second": 11.653, | |
| "eval_steps_per_second": 5.827, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.00012012913882423606, | |
| "grad_norm": 0.15870024263858795, | |
| "learning_rate": 4e-05, | |
| "loss": 1.5504, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.00018019370823635407, | |
| "grad_norm": 0.19789431989192963, | |
| "learning_rate": 6e-05, | |
| "loss": 1.4139, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.00018019370823635407, | |
| "eval_loss": 1.6558383703231812, | |
| "eval_runtime": 600.9327, | |
| "eval_samples_per_second": 11.667, | |
| "eval_steps_per_second": 5.834, | |
| "step": 3 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 10, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 3, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 369021899243520.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |