Instructions to use brucoder/WINTER-FROST-3-try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brucoder/WINTER-FROST-3-try with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("brucoder/WINTER-FROST-3-try", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-25/trainer_state.json from brucoder/WINTER-FROST-3-try: direct link, hf CLI and curl.
- Browser
- Download file 1.69 kB
-
https://huggingface.co/brucoder/WINTER-FROST-3-try/resolve/main/checkpoint-25/trainer_state.json
- Command line
-
hf download hf://brucoder/WINTER-FROST-3-try/checkpoint-25/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/brucoder/WINTER-FROST-3-try/resolve/main/checkpoint-25/trainer_state.json
1.69 kB
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.014954389113204725, | |
| "eval_steps": 500, | |
| "global_step": 25, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0029908778226409452, | |
| "grad_norm": 0.42996275424957275, | |
| "learning_rate": 8e-05, | |
| "loss": 1.3150932312011718, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.0059817556452818905, | |
| "grad_norm": 0.34759286046028137, | |
| "learning_rate": 0.00018, | |
| "loss": 1.2311323165893555, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.008972633467922835, | |
| "grad_norm": 0.23679782450199127, | |
| "learning_rate": 0.00019724137931034484, | |
| "loss": 0.929847240447998, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.011963511290563781, | |
| "grad_norm": 0.7136238217353821, | |
| "learning_rate": 0.00019379310344827587, | |
| "loss": 0.7683926105499268, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.014954389113204725, | |
| "grad_norm": 0.36432984471321106, | |
| "learning_rate": 0.0001903448275862069, | |
| "loss": 0.9011115074157715, | |
| "step": 25 | |
| } | |
| ], | |
| "logging_steps": 5, | |
| "max_steps": 300, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 25, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 4126137326309376.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |