Instructions to use mlahr/font-identifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlahr/font-identifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mlahr/font-identifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("mlahr/font-identifier") model = AutoModelForImageClassification.from_pretrained("mlahr/font-identifier") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": 84, | |
| "best_metric": 0.6681818181818182, | |
| "best_model_checkpoint": "font-identifier/checkpoint-84", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 84, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.7272727272727273, | |
| "grad_norm": 9.430075645446777, | |
| "learning_rate": 6.428571428571429e-06, | |
| "loss": 3.3213, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.06818181818181818, | |
| "eval_loss": 3.2453081607818604, | |
| "eval_runtime": 2.4333, | |
| "eval_samples_per_second": 90.411, | |
| "eval_steps_per_second": 5.753, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 1.4363636363636363, | |
| "grad_norm": 9.360711097717285, | |
| "learning_rate": 1.357142857142857e-05, | |
| "loss": 3.1711, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.12727272727272726, | |
| "eval_loss": 3.0051403045654297, | |
| "eval_runtime": 2.0612, | |
| "eval_samples_per_second": 106.735, | |
| "eval_steps_per_second": 6.792, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 2.1454545454545455, | |
| "grad_norm": 8.500679016113281, | |
| "learning_rate": 2.0714285714285718e-05, | |
| "loss": 2.983, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 2.8727272727272726, | |
| "grad_norm": 9.82868766784668, | |
| "learning_rate": 2.785714285714286e-05, | |
| "loss": 2.8729, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.20909090909090908, | |
| "eval_loss": 2.6284613609313965, | |
| "eval_runtime": 2.0503, | |
| "eval_samples_per_second": 107.302, | |
| "eval_steps_per_second": 6.828, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 3.581818181818182, | |
| "grad_norm": 7.700014114379883, | |
| "learning_rate": 3.5e-05, | |
| "loss": 2.562, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.37727272727272726, | |
| "eval_loss": 2.160020112991333, | |
| "eval_runtime": 2.3625, | |
| "eval_samples_per_second": 93.121, | |
| "eval_steps_per_second": 5.926, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 4.290909090909091, | |
| "grad_norm": 7.527115821838379, | |
| "learning_rate": 4.214285714285714e-05, | |
| "loss": 2.2406, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 5.579476833343506, | |
| "learning_rate": 4.928571428571429e-05, | |
| "loss": 1.8675, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.5363636363636364, | |
| "eval_loss": 1.639161229133606, | |
| "eval_runtime": 2.0879, | |
| "eval_samples_per_second": 105.372, | |
| "eval_steps_per_second": 6.705, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 5.7272727272727275, | |
| "grad_norm": 6.313197135925293, | |
| "learning_rate": 4.928571428571429e-05, | |
| "loss": 1.6359, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.6681818181818182, | |
| "eval_loss": 1.2266921997070312, | |
| "eval_runtime": 2.1098, | |
| "eval_samples_per_second": 104.274, | |
| "eval_steps_per_second": 6.636, | |
| "step": 84 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 700, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 50, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 5.335155484065792e+16, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |