Instructions to use Paladiso/417cbf52-86c2-4c78-9c55-0f7df6b7665b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/417cbf52-86c2-4c78-9c55-0f7df6b7665b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "Paladiso/417cbf52-86c2-4c78-9c55-0f7df6b7665b") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from Paladiso/417cbf52-86c2-4c78-9c55-0f7df6b7665b: direct link, hf CLI and curl.
- Browser
- Download file 2.98 kB
-
https://huggingface.co/Paladiso/417cbf52-86c2-4c78-9c55-0f7df6b7665b/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://Paladiso/417cbf52-86c2-4c78-9c55-0f7df6b7665b/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/Paladiso/417cbf52-86c2-4c78-9c55-0f7df6b7665b/resolve/main/last-checkpoint/trainer_state.json
2.98 kB
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.0011243851018974, | |
| "eval_steps": 3, | |
| "global_step": 10, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.00011243851018973998, | |
| "grad_norm": 15.085867881774902, | |
| "learning_rate": 2e-05, | |
| "loss": 12.9478, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.00022487702037947996, | |
| "grad_norm": 10.755067825317383, | |
| "learning_rate": 4e-05, | |
| "loss": 14.0026, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.00033731553056921994, | |
| "grad_norm": 10.571486473083496, | |
| "learning_rate": 6e-05, | |
| "loss": 12.0079, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.00033731553056921994, | |
| "eval_loss": 3.196536064147949, | |
| "eval_runtime": 191.7723, | |
| "eval_samples_per_second": 19.528, | |
| "eval_steps_per_second": 9.767, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.0004497540407589599, | |
| "grad_norm": 8.108671188354492, | |
| "learning_rate": 8e-05, | |
| "loss": 15.1813, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.0005621925509487, | |
| "grad_norm": 8.093324661254883, | |
| "learning_rate": 0.0001, | |
| "loss": 12.862, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.0006746310611384399, | |
| "grad_norm": 9.614452362060547, | |
| "learning_rate": 0.00012, | |
| "loss": 9.9826, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.0006746310611384399, | |
| "eval_loss": 2.9050025939941406, | |
| "eval_runtime": 198.7754, | |
| "eval_samples_per_second": 18.84, | |
| "eval_steps_per_second": 9.423, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.0007870695713281799, | |
| "grad_norm": 9.192273139953613, | |
| "learning_rate": 0.00014, | |
| "loss": 8.8125, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.0008995080815179198, | |
| "grad_norm": 14.598649978637695, | |
| "learning_rate": 0.00016, | |
| "loss": 8.5464, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.00101194659170766, | |
| "grad_norm": 10.85025405883789, | |
| "learning_rate": 0.00018, | |
| "loss": 5.853, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.00101194659170766, | |
| "eval_loss": 1.798444151878357, | |
| "eval_runtime": 228.2587, | |
| "eval_samples_per_second": 16.407, | |
| "eval_steps_per_second": 8.206, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.0011243851018974, | |
| "grad_norm": 7.590512752532959, | |
| "learning_rate": 0.0002, | |
| "loss": 4.7837, | |
| "step": 10 | |
| } | |
| ], | |
| "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": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1445776569925632.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |