Instructions to use ProbeX/Model-J__MAE__model_idx_0481 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProbeX/Model-J__MAE__model_idx_0481 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ProbeX/Model-J__MAE__model_idx_0481") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ProbeX/Model-J__MAE__model_idx_0481") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__MAE__model_idx_0481", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from ProbeX/Model-J__MAE__model_idx_0481: direct link, hf CLI and curl.
- Browser
- Download file 2.73 kB
-
https://huggingface.co/ProbeX/Model-J__MAE__model_idx_0481/resolve/main/trainer_state.json
- Command line
-
hf download hf://ProbeX/Model-J__MAE__model_idx_0481/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/ProbeX/Model-J__MAE__model_idx_0481/resolve/main/trainer_state.json
2.73 kB
Invalid JSON:Unexpected token 'I', ..."ad_norm": Infinity,
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| { | |
| "best_metric": 0.4768, | |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0481/checkpoints/checkpoint-1665", | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 1665, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": Infinity, | |
| "learning_rate": 0.0005, | |
| "loss": 3.21, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.22906666666666667, | |
| "eval_loss": 2.872424364089966, | |
| "eval_runtime": 6.2266, | |
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| "eval_steps_per_second": 9.475, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": Infinity, | |
| "learning_rate": 0.0005, | |
| "loss": 2.6443, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.3096, | |
| "eval_loss": 2.514268159866333, | |
| "eval_runtime": 6.2748, | |
| "eval_samples_per_second": 597.627, | |
| "eval_steps_per_second": 9.403, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 15.67379093170166, | |
| "learning_rate": 0.0005, | |
| "loss": 2.2746, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.34613333333333335, | |
| "eval_loss": 2.3270559310913086, | |
| "eval_runtime": 6.2573, | |
| "eval_samples_per_second": 599.303, | |
| "eval_steps_per_second": 9.429, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 11.251169204711914, | |
| "learning_rate": 0.0005, | |
| "loss": 1.983, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.4056, | |
| "eval_loss": 2.0823137760162354, | |
| "eval_runtime": 7.1089, | |
| "eval_samples_per_second": 527.506, | |
| "eval_steps_per_second": 8.299, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 13.21301555633545, | |
| "learning_rate": 0.0005, | |
| "loss": 1.7361, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.4768, | |
| "eval_loss": 1.866059422492981, | |
| "eval_runtime": 6.3409, | |
| "eval_samples_per_second": 591.395, | |
| "eval_steps_per_second": 9.305, | |
| "step": 1665 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 1665, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 8.2370660311296e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |