Instructions to use vmpsergio/83ccc229-46a5-4ad6-a1b2-8f438794426e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vmpsergio/83ccc229-46a5-4ad6-a1b2-8f438794426e 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, "vmpsergio/83ccc229-46a5-4ad6-a1b2-8f438794426e") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from vmpsergio/83ccc229-46a5-4ad6-a1b2-8f438794426e: direct link, hf CLI and curl.
- Browser
- Download file 4.21 kB
-
https://huggingface.co/vmpsergio/83ccc229-46a5-4ad6-a1b2-8f438794426e/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://vmpsergio/83ccc229-46a5-4ad6-a1b2-8f438794426e/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/vmpsergio/83ccc229-46a5-4ad6-a1b2-8f438794426e/resolve/main/last-checkpoint/trainer_state.json
4.21 kB
| { | |
| "best_metric": 11.929627418518066, | |
| "best_model_checkpoint": "miner_id_24/checkpoint-30", | |
| "epoch": 0.030503304524656837, | |
| "eval_steps": 5, | |
| "global_step": 30, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0010167768174885613, | |
| "eval_loss": 11.931282997131348, | |
| "eval_runtime": 12.1282, | |
| "eval_samples_per_second": 34.218, | |
| "eval_steps_per_second": 17.15, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.003050330452465684, | |
| "grad_norm": 0.034024111926555634, | |
| "learning_rate": 6e-05, | |
| "loss": 11.9303, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.005083884087442806, | |
| "eval_loss": 11.931171417236328, | |
| "eval_runtime": 12.2651, | |
| "eval_samples_per_second": 33.836, | |
| "eval_steps_per_second": 16.959, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.006100660904931368, | |
| "grad_norm": 0.03859293833374977, | |
| "learning_rate": 0.00012, | |
| "loss": 11.9311, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.009150991357397052, | |
| "grad_norm": 0.028728436678647995, | |
| "learning_rate": 0.00018, | |
| "loss": 11.9335, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.010167768174885612, | |
| "eval_loss": 11.93080997467041, | |
| "eval_runtime": 12.0381, | |
| "eval_samples_per_second": 34.474, | |
| "eval_steps_per_second": 17.278, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.012201321809862735, | |
| "grad_norm": 0.03001631423830986, | |
| "learning_rate": 0.00019510565162951537, | |
| "loss": 11.9301, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.015251652262328419, | |
| "grad_norm": 0.05156728997826576, | |
| "learning_rate": 0.00017071067811865476, | |
| "loss": 11.9283, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.015251652262328419, | |
| "eval_loss": 11.930292129516602, | |
| "eval_runtime": 12.0367, | |
| "eval_samples_per_second": 34.478, | |
| "eval_steps_per_second": 17.28, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.018301982714794104, | |
| "grad_norm": 0.04535188153386116, | |
| "learning_rate": 0.00013090169943749476, | |
| "loss": 11.9301, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.020335536349771224, | |
| "eval_loss": 11.929884910583496, | |
| "eval_runtime": 12.3097, | |
| "eval_samples_per_second": 33.713, | |
| "eval_steps_per_second": 16.897, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.021352313167259787, | |
| "grad_norm": 0.03429163247346878, | |
| "learning_rate": 8.435655349597689e-05, | |
| "loss": 11.9307, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.02440264361972547, | |
| "grad_norm": 0.02444632537662983, | |
| "learning_rate": 4.12214747707527e-05, | |
| "loss": 11.9311, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.02541942043721403, | |
| "eval_loss": 11.929669380187988, | |
| "eval_runtime": 12.3353, | |
| "eval_samples_per_second": 33.643, | |
| "eval_steps_per_second": 16.862, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.027452974072191154, | |
| "grad_norm": 0.03801164776086807, | |
| "learning_rate": 1.0899347581163221e-05, | |
| "loss": 11.9294, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.030503304524656837, | |
| "grad_norm": 0.027243835851550102, | |
| "learning_rate": 0.0, | |
| "loss": 11.9301, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.030503304524656837, | |
| "eval_loss": 11.929627418518066, | |
| "eval_runtime": 12.1453, | |
| "eval_samples_per_second": 34.17, | |
| "eval_steps_per_second": 17.126, | |
| "step": 30 | |
| } | |
| ], | |
| "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": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 16956751872.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |