Instructions to use nateraw/my-cool-timm-model-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use nateraw/my-cool-timm-model-2 with timm:
import timm model = timm.create_model("hf-hub:nateraw/my-cool-timm-model-2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from nateraw/my-cool-timm-model-2: direct link, hf CLI and curl.
- Browser
- Download file 1.2 kB
-
https://huggingface.co/nateraw/my-cool-timm-model-2/resolve/9d6d46c51f68e8649bffc4627c6b5ea814678d83/trainer_state.json
- Command line
-
hf download hf://nateraw/my-cool-timm-model-2@9d6d46c51f68e8649bffc4627c6b5ea814678d83/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/nateraw/my-cool-timm-model-2/resolve/9d6d46c51f68e8649bffc4627c6b5ea814678d83/trainer_state.json
1.2 kB
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.13513513513513514, | |
| "global_step": 10, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.07, | |
| "eval_acc1": 92.08203125, | |
| "eval_acc5": 100.0, | |
| "eval_loss": 0.3436393737792969, | |
| "eval_runtime": 21.3181, | |
| "eval_samples_per_second": 164.696, | |
| "eval_steps_per_second": 0.657, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "learning_rate": 0.0, | |
| "loss": 0.4914, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_acc1": 95.21504211425781, | |
| "eval_acc5": 100.0, | |
| "eval_loss": 0.2510463297367096, | |
| "eval_runtime": 20.9889, | |
| "eval_samples_per_second": 167.279, | |
| "eval_steps_per_second": 0.667, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "step": 10, | |
| "total_flos": 0.0, | |
| "train_loss": 0.49140148162841796, | |
| "train_runtime": 64.5205, | |
| "train_samples_per_second": 39.677, | |
| "train_steps_per_second": 0.155 | |
| } | |
| ], | |
| "max_steps": 10, | |
| "num_train_epochs": 1, | |
| "total_flos": 0.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |