Instructions to use DeepDream2045/f4a0105d-f1d8-41e3-9298-98df2db01e82 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/f4a0105d-f1d8-41e3-9298-98df2db01e82 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("princeton-nlp/Sheared-LLaMA-1.3B") model = PeftModel.from_pretrained(base_model, "DeepDream2045/f4a0105d-f1d8-41e3-9298-98df2db01e82") - Notebooks
- Google Colab
- Kaggle
Invalid JSON:Unexpected token 'N', ..."_metric": NaN,
"be"... is not valid JSON
| { | |
| "best_metric": NaN, | |
| "best_model_checkpoint": "miner_id_24/checkpoint-25", | |
| "epoch": 1.6126482213438735, | |
| "eval_steps": 25, | |
| "global_step": 25, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.06324110671936758, | |
| "grad_norm": NaN, | |
| "learning_rate": 5e-05, | |
| "loss": 0.0, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.06324110671936758, | |
| "eval_loss": NaN, | |
| "eval_runtime": 1.0459, | |
| "eval_samples_per_second": 102.3, | |
| "eval_steps_per_second": 13.385, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.12648221343873517, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.18972332015810275, | |
| "grad_norm": NaN, | |
| "learning_rate": 9.988343845952697e-05, | |
| "loss": 0.0, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.25296442687747034, | |
| "grad_norm": NaN, | |
| "learning_rate": 9.953429730181653e-05, | |
| "loss": 0.0, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.31620553359683795, | |
| "grad_norm": NaN, | |
| "learning_rate": 9.895420438411616e-05, | |
| "loss": 0.0, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.3794466403162055, | |
| "grad_norm": NaN, | |
| "learning_rate": 9.814586436738998e-05, | |
| "loss": 0.0, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.4426877470355731, | |
| "grad_norm": NaN, | |
| "learning_rate": 9.711304610594104e-05, | |
| "loss": 0.0, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.5059288537549407, | |
| "grad_norm": NaN, | |
| "learning_rate": 9.586056507527266e-05, | |
| "loss": 0.0, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.5691699604743083, | |
| "grad_norm": NaN, | |
| "learning_rate": 9.439426092011875e-05, | |
| "loss": 0.0, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.6324110671936759, | |
| "grad_norm": NaN, | |
| "learning_rate": 9.272097022732443e-05, | |
| "loss": 0.0, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.6956521739130435, | |
| "grad_norm": NaN, | |
| "learning_rate": 9.08484946505221e-05, | |
| "loss": 0.0, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.758893280632411, | |
| "grad_norm": NaN, | |
| "learning_rate": 8.8785564535221e-05, | |
| "loss": 0.0, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.8221343873517787, | |
| "grad_norm": NaN, | |
| "learning_rate": 8.654179821390621e-05, | |
| "loss": 0.0, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.8853754940711462, | |
| "grad_norm": NaN, | |
| "learning_rate": 8.412765716093272e-05, | |
| "loss": 0.0, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.9486166007905138, | |
| "grad_norm": NaN, | |
| "learning_rate": 8.155439721630264e-05, | |
| "loss": 0.0, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 1.0434782608695652, | |
| "grad_norm": NaN, | |
| "learning_rate": 7.883401610574336e-05, | |
| "loss": 0.0, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 1.1067193675889329, | |
| "grad_norm": NaN, | |
| "learning_rate": 7.597919750177168e-05, | |
| "loss": 0.0, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 1.1699604743083003, | |
| "grad_norm": NaN, | |
| "learning_rate": 7.300325188655761e-05, | |
| "loss": 0.0, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 1.233201581027668, | |
| "grad_norm": NaN, | |
| "learning_rate": 6.992005449231208e-05, | |
| "loss": 0.0, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 1.2964426877470356, | |
| "grad_norm": NaN, | |
| "learning_rate": 6.674398060854931e-05, | |
| "loss": 0.0, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.359683794466403, | |
| "grad_norm": NaN, | |
| "learning_rate": 6.348983855785121e-05, | |
| "loss": 0.0, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 1.4229249011857708, | |
| "grad_norm": NaN, | |
| "learning_rate": 6.01728006526317e-05, | |
| "loss": 0.0, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 1.4861660079051384, | |
| "grad_norm": NaN, | |
| "learning_rate": 5.680833245481234e-05, | |
| "loss": 0.0, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 1.5494071146245059, | |
| "grad_norm": NaN, | |
| "learning_rate": 5.341212066823355e-05, | |
| "loss": 0.0, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 1.6126482213438735, | |
| "grad_norm": NaN, | |
| "learning_rate": 5e-05, | |
| "loss": 0.0, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 1.6126482213438735, | |
| "eval_loss": NaN, | |
| "eval_runtime": 1.043, | |
| "eval_samples_per_second": 102.584, | |
| "eval_steps_per_second": 13.422, | |
| "step": 25 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 48, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 4, | |
| "save_steps": 25, | |
| "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": 5.1506187337728e+16, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |