Instructions to use dimasik87/4ac67ab7-aaa5-46f9-b3dd-d935c7b307b8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/4ac67ab7-aaa5-46f9-b3dd-d935c7b307b8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "dimasik87/4ac67ab7-aaa5-46f9-b3dd-d935c7b307b8") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from dimasik87/4ac67ab7-aaa5-46f9-b3dd-d935c7b307b8: direct link, hf CLI and curl.
- Browser
- Download file 2.15 kB
-
https://huggingface.co/dimasik87/4ac67ab7-aaa5-46f9-b3dd-d935c7b307b8/resolve/73fc9b47bbf09c63b78f34d30033dfa011e6e3d6/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://dimasik87/4ac67ab7-aaa5-46f9-b3dd-d935c7b307b8@73fc9b47bbf09c63b78f34d30033dfa011e6e3d6/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/dimasik87/4ac67ab7-aaa5-46f9-b3dd-d935c7b307b8/resolve/73fc9b47bbf09c63b78f34d30033dfa011e6e3d6/last-checkpoint/trainer_state.json
2.15 kB
| { | |
| "best_metric": 11.93195915222168, | |
| "best_model_checkpoint": "miner_id_24/checkpoint-10", | |
| "epoch": 0.04744958481613286, | |
| "eval_steps": 5, | |
| "global_step": 10, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.004744958481613286, | |
| "eval_loss": 11.932116508483887, | |
| "eval_runtime": 0.8506, | |
| "eval_samples_per_second": 209.264, | |
| "eval_steps_per_second": 52.904, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.014234875444839857, | |
| "grad_norm": 0.02677612006664276, | |
| "learning_rate": 0.00012, | |
| "loss": 11.9319, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.02372479240806643, | |
| "eval_loss": 11.932097434997559, | |
| "eval_runtime": 0.8543, | |
| "eval_samples_per_second": 208.355, | |
| "eval_steps_per_second": 52.674, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.028469750889679714, | |
| "grad_norm": 0.03796449303627014, | |
| "learning_rate": 0.0001992114701314478, | |
| "loss": 11.9311, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.042704626334519574, | |
| "grad_norm": 0.03717769309878349, | |
| "learning_rate": 0.00018763066800438636, | |
| "loss": 11.9322, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.04744958481613286, | |
| "eval_loss": 11.93195915222168, | |
| "eval_runtime": 0.9139, | |
| "eval_samples_per_second": 194.77, | |
| "eval_steps_per_second": 49.24, | |
| "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": 7494696960.0, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |