Instructions to use Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/Paladiso/a31e9467-1b84-42f8-a0e6-2c16bbde2ff7/resolve/main/last-checkpoint/trainer_state.json
2.99 kB
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.0029331964508322946, | |
| "eval_steps": 3, | |
| "global_step": 10, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.00029331964508322946, | |
| "grad_norm": 1.1542128324508667, | |
| "learning_rate": 2e-05, | |
| "loss": 1.6672, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.0005866392901664589, | |
| "grad_norm": 0.8581305742263794, | |
| "learning_rate": 4e-05, | |
| "loss": 1.3434, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.0008799589352496884, | |
| "grad_norm": 0.9822282791137695, | |
| "learning_rate": 6e-05, | |
| "loss": 1.3971, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.0008799589352496884, | |
| "eval_loss": 1.5251803398132324, | |
| "eval_runtime": 133.4372, | |
| "eval_samples_per_second": 10.762, | |
| "eval_steps_per_second": 5.381, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.0011732785803329178, | |
| "grad_norm": 1.1366212368011475, | |
| "learning_rate": 8e-05, | |
| "loss": 1.5729, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.0014665982254161473, | |
| "grad_norm": 0.9662085175514221, | |
| "learning_rate": 0.0001, | |
| "loss": 1.4449, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.0017599178704993767, | |
| "grad_norm": 0.8611655235290527, | |
| "learning_rate": 0.00012, | |
| "loss": 1.4187, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.0017599178704993767, | |
| "eval_loss": 1.4484795331954956, | |
| "eval_runtime": 132.2383, | |
| "eval_samples_per_second": 10.859, | |
| "eval_steps_per_second": 5.43, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.002053237515582606, | |
| "grad_norm": 0.9230878949165344, | |
| "learning_rate": 0.00014, | |
| "loss": 1.5278, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.0023465571606658357, | |
| "grad_norm": 1.190510869026184, | |
| "learning_rate": 0.00016, | |
| "loss": 1.4455, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.002639876805749065, | |
| "grad_norm": 0.8905510902404785, | |
| "learning_rate": 0.00018, | |
| "loss": 1.34, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.002639876805749065, | |
| "eval_loss": 1.3201472759246826, | |
| "eval_runtime": 132.1601, | |
| "eval_samples_per_second": 10.866, | |
| "eval_steps_per_second": 5.433, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.0029331964508322946, | |
| "grad_norm": 0.8329473733901978, | |
| "learning_rate": 0.0002, | |
| "loss": 1.3695, | |
| "step": 10 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 10, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 3, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 500097330708480.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |