Instructions to use shibajustfor/712e19a3-bcea-41ce-b45a-f4ec75414de3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/712e19a3-bcea-41ce-b45a-f4ec75414de3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "shibajustfor/712e19a3-bcea-41ce-b45a-f4ec75414de3") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from shibajustfor/712e19a3-bcea-41ce-b45a-f4ec75414de3: direct link, hf CLI and curl.
- Browser
- Download file 2.48 kB
-
https://huggingface.co/shibajustfor/712e19a3-bcea-41ce-b45a-f4ec75414de3/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://shibajustfor/712e19a3-bcea-41ce-b45a-f4ec75414de3/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/shibajustfor/712e19a3-bcea-41ce-b45a-f4ec75414de3/resolve/main/last-checkpoint/trainer_state.json
2.48 kB
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.007029135767757354, | |
| "eval_steps": 13, | |
| "global_step": 50, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0001405827153551471, | |
| "eval_loss": 1.0878578424453735, | |
| "eval_runtime": 49.5912, | |
| "eval_samples_per_second": 60.394, | |
| "eval_steps_per_second": 30.207, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.001405827153551471, | |
| "grad_norm": 1.1144373416900635, | |
| "learning_rate": 0.00019396926207859084, | |
| "loss": 0.994, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.0018275752996169121, | |
| "eval_loss": 0.8051884174346924, | |
| "eval_runtime": 48.0786, | |
| "eval_samples_per_second": 62.294, | |
| "eval_steps_per_second": 31.157, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.002811654307102942, | |
| "grad_norm": 1.0517555475234985, | |
| "learning_rate": 0.00015000000000000001, | |
| "loss": 0.8244, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.0036551505992338243, | |
| "eval_loss": 0.7168914079666138, | |
| "eval_runtime": 49.1951, | |
| "eval_samples_per_second": 60.88, | |
| "eval_steps_per_second": 30.45, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.0042174814606544125, | |
| "grad_norm": 0.8600016236305237, | |
| "learning_rate": 8.263518223330697e-05, | |
| "loss": 0.7754, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.005482725898850736, | |
| "eval_loss": 0.6936303377151489, | |
| "eval_runtime": 48.7885, | |
| "eval_samples_per_second": 61.387, | |
| "eval_steps_per_second": 30.704, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.005623308614205884, | |
| "grad_norm": 0.9557920694351196, | |
| "learning_rate": 2.339555568810221e-05, | |
| "loss": 0.6672, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.007029135767757354, | |
| "grad_norm": 1.0672272443771362, | |
| "learning_rate": 0.0, | |
| "loss": 0.6929, | |
| "step": 50 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 50, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 13, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1278959891251200.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |