Instructions to use marialvsantiago/5571a358-933b-425b-bd26-d2332be6f75e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use marialvsantiago/5571a358-933b-425b-bd26-d2332be6f75e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "marialvsantiago/5571a358-933b-425b-bd26-d2332be6f75e") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from marialvsantiago/5571a358-933b-425b-bd26-d2332be6f75e: direct link, hf CLI and curl.
- Browser
- Download file 2.02 kB
-
https://huggingface.co/marialvsantiago/5571a358-933b-425b-bd26-d2332be6f75e/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://marialvsantiago/5571a358-933b-425b-bd26-d2332be6f75e/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/marialvsantiago/5571a358-933b-425b-bd26-d2332be6f75e/resolve/main/last-checkpoint/trainer_state.json
2.02 kB
Invalid JSON:Unexpected token 'N', ..."_metric": NaN,
"be"... is not valid JSON
| { | |
| "best_metric": NaN, | |
| "best_model_checkpoint": "miner_id_24/checkpoint-10", | |
| "epoch": 0.0002139483635624542, | |
| "eval_steps": 5, | |
| "global_step": 10, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 2.139483635624542e-05, | |
| "eval_loss": NaN, | |
| "eval_runtime": 2353.1089, | |
| "eval_samples_per_second": 8.364, | |
| "eval_steps_per_second": 4.182, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 6.418450906873626e-05, | |
| "grad_norm": NaN, | |
| "learning_rate": 3e-05, | |
| "loss": 0.0, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.0001069741817812271, | |
| "eval_loss": NaN, | |
| "eval_runtime": 2354.4139, | |
| "eval_samples_per_second": 8.359, | |
| "eval_steps_per_second": 4.18, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.0001283690181374725, | |
| "grad_norm": NaN, | |
| "learning_rate": 6e-05, | |
| "loss": 0.0, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.0001925535272062088, | |
| "grad_norm": NaN, | |
| "learning_rate": 9e-05, | |
| "loss": 0.0, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.0002139483635624542, | |
| "eval_loss": NaN, | |
| "eval_runtime": 2354.4889, | |
| "eval_samples_per_second": 8.359, | |
| "eval_steps_per_second": 4.18, | |
| "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": 3709436417802240.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |