| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 10.0, | |
| "eval_steps": 50, | |
| "global_step": 60, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 1.4512845277786255, | |
| "learning_rate": 5e-06, | |
| "loss": 0.3183, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.6471868753433228, | |
| "eval_custom-arc-semantics-data-jp_cosine_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.6471868753433228, | |
| "eval_custom-arc-semantics-data-jp_cosine_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_cosine_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 345.4730529785156, | |
| "eval_custom-arc-semantics-data-jp_dot_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_dot_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_dot_f1_threshold": 345.4730529785156, | |
| "eval_custom-arc-semantics-data-jp_dot_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 19.563411712646484, | |
| "eval_custom-arc-semantics-data-jp_euclidean_ap": 0.81, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 19.563411712646484, | |
| "eval_custom-arc-semantics-data-jp_euclidean_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 429.613037109375, | |
| "eval_custom-arc-semantics-data-jp_manhattan_ap": 0.81, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 429.613037109375, | |
| "eval_custom-arc-semantics-data-jp_manhattan_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 429.613037109375, | |
| "eval_custom-arc-semantics-data-jp_max_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_max_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_max_f1_threshold": 429.613037109375, | |
| "eval_custom-arc-semantics-data-jp_max_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_recall": 0.8, | |
| "eval_loss": 0.17167754471302032, | |
| "eval_runtime": 2.9189, | |
| "eval_samples_per_second": 2.056, | |
| "eval_steps_per_second": 0.343, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.304966688156128, | |
| "learning_rate": 1e-05, | |
| "loss": 0.3026, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.6410852670669556, | |
| "eval_custom-arc-semantics-data-jp_cosine_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.6410852670669556, | |
| "eval_custom-arc-semantics-data-jp_cosine_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_cosine_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 341.5276184082031, | |
| "eval_custom-arc-semantics-data-jp_dot_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_dot_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_dot_f1_threshold": 341.5276184082031, | |
| "eval_custom-arc-semantics-data-jp_dot_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 19.734420776367188, | |
| "eval_custom-arc-semantics-data-jp_euclidean_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 19.734420776367188, | |
| "eval_custom-arc-semantics-data-jp_euclidean_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 434.0592346191406, | |
| "eval_custom-arc-semantics-data-jp_manhattan_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 434.0592346191406, | |
| "eval_custom-arc-semantics-data-jp_manhattan_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 434.0592346191406, | |
| "eval_custom-arc-semantics-data-jp_max_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_max_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_max_f1_threshold": 434.0592346191406, | |
| "eval_custom-arc-semantics-data-jp_max_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_recall": 0.8, | |
| "eval_loss": 0.17033492028713226, | |
| "eval_runtime": 2.9121, | |
| "eval_samples_per_second": 2.06, | |
| "eval_steps_per_second": 0.343, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 1.0188632011413574, | |
| "learning_rate": 1.5000000000000002e-05, | |
| "loss": 0.2667, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.6364033818244934, | |
| "eval_custom-arc-semantics-data-jp_cosine_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.6364033818244934, | |
| "eval_custom-arc-semantics-data-jp_cosine_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_cosine_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 338.5497131347656, | |
| "eval_custom-arc-semantics-data-jp_dot_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_dot_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_dot_f1_threshold": 338.5497131347656, | |
| "eval_custom-arc-semantics-data-jp_dot_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 19.83578109741211, | |
| "eval_custom-arc-semantics-data-jp_euclidean_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 19.83578109741211, | |
| "eval_custom-arc-semantics-data-jp_euclidean_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 437.1195068359375, | |
| "eval_custom-arc-semantics-data-jp_manhattan_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 437.1195068359375, | |
| "eval_custom-arc-semantics-data-jp_manhattan_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 437.1195068359375, | |
| "eval_custom-arc-semantics-data-jp_max_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_max_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_max_f1_threshold": 437.1195068359375, | |
| "eval_custom-arc-semantics-data-jp_max_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_recall": 0.8, | |
| "eval_loss": 0.16623182594776154, | |
| "eval_runtime": 3.4915, | |
| "eval_samples_per_second": 1.718, | |
| "eval_steps_per_second": 0.286, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.5784842371940613, | |
| "learning_rate": 2e-05, | |
| "loss": 0.2164, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.6302204132080078, | |
| "eval_custom-arc-semantics-data-jp_cosine_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.6302204132080078, | |
| "eval_custom-arc-semantics-data-jp_cosine_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_cosine_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 385.5712585449219, | |
| "eval_custom-arc-semantics-data-jp_dot_ap": 0.9266666666666665, | |
| "eval_custom-arc-semantics-data-jp_dot_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_dot_f1_threshold": 339.04254150390625, | |
| "eval_custom-arc-semantics-data-jp_dot_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 19.902908325195312, | |
| "eval_custom-arc-semantics-data-jp_euclidean_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 19.902908325195312, | |
| "eval_custom-arc-semantics-data-jp_euclidean_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 438.79205322265625, | |
| "eval_custom-arc-semantics-data-jp_manhattan_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 438.79205322265625, | |
| "eval_custom-arc-semantics-data-jp_manhattan_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 438.79205322265625, | |
| "eval_custom-arc-semantics-data-jp_max_ap": 0.9266666666666665, | |
| "eval_custom-arc-semantics-data-jp_max_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_max_f1_threshold": 438.79205322265625, | |
| "eval_custom-arc-semantics-data-jp_max_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_recall": 0.8, | |
| "eval_loss": 0.15949387848377228, | |
| "eval_runtime": 2.6844, | |
| "eval_samples_per_second": 2.235, | |
| "eval_steps_per_second": 0.373, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.4092578589916229, | |
| "learning_rate": 1.6666666666666667e-05, | |
| "loss": 0.1779, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.587942361831665, | |
| "eval_custom-arc-semantics-data-jp_cosine_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.587942361831665, | |
| "eval_custom-arc-semantics-data-jp_cosine_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_cosine_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 369.192626953125, | |
| "eval_custom-arc-semantics-data-jp_dot_ap": 0.9266666666666665, | |
| "eval_custom-arc-semantics-data-jp_dot_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_dot_f1_threshold": 318.3497619628906, | |
| "eval_custom-arc-semantics-data-jp_dot_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 21.073081970214844, | |
| "eval_custom-arc-semantics-data-jp_euclidean_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 21.073081970214844, | |
| "eval_custom-arc-semantics-data-jp_euclidean_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 462.51629638671875, | |
| "eval_custom-arc-semantics-data-jp_manhattan_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 462.51629638671875, | |
| "eval_custom-arc-semantics-data-jp_manhattan_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 462.51629638671875, | |
| "eval_custom-arc-semantics-data-jp_max_ap": 0.9266666666666665, | |
| "eval_custom-arc-semantics-data-jp_max_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_max_f1_threshold": 462.51629638671875, | |
| "eval_custom-arc-semantics-data-jp_max_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_recall": 0.8, | |
| "eval_loss": 0.16796135902404785, | |
| "eval_runtime": 3.0306, | |
| "eval_samples_per_second": 1.98, | |
| "eval_steps_per_second": 0.33, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.45830854773521423, | |
| "learning_rate": 1.3333333333333333e-05, | |
| "loss": 0.1271, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.5134342908859253, | |
| "eval_custom-arc-semantics-data-jp_cosine_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.5134342908859253, | |
| "eval_custom-arc-semantics-data-jp_cosine_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_cosine_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 278.04107666015625, | |
| "eval_custom-arc-semantics-data-jp_dot_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_dot_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_dot_f1_threshold": 278.04107666015625, | |
| "eval_custom-arc-semantics-data-jp_dot_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 22.917387008666992, | |
| "eval_custom-arc-semantics-data-jp_euclidean_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 22.917387008666992, | |
| "eval_custom-arc-semantics-data-jp_euclidean_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 502.63287353515625, | |
| "eval_custom-arc-semantics-data-jp_manhattan_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 502.63287353515625, | |
| "eval_custom-arc-semantics-data-jp_manhattan_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 502.63287353515625, | |
| "eval_custom-arc-semantics-data-jp_max_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_max_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_max_f1_threshold": 502.63287353515625, | |
| "eval_custom-arc-semantics-data-jp_max_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_recall": 0.8, | |
| "eval_loss": 0.19386596977710724, | |
| "eval_runtime": 2.8354, | |
| "eval_samples_per_second": 2.116, | |
| "eval_steps_per_second": 0.353, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 0.3822881579399109, | |
| "learning_rate": 1e-05, | |
| "loss": 0.1018, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.46284571290016174, | |
| "eval_custom-arc-semantics-data-jp_cosine_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.46284571290016174, | |
| "eval_custom-arc-semantics-data-jp_cosine_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_cosine_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 249.8519287109375, | |
| "eval_custom-arc-semantics-data-jp_dot_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_dot_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_dot_f1_threshold": 249.8519287109375, | |
| "eval_custom-arc-semantics-data-jp_dot_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 24.051647186279297, | |
| "eval_custom-arc-semantics-data-jp_euclidean_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 24.051647186279297, | |
| "eval_custom-arc-semantics-data-jp_euclidean_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 527.3822021484375, | |
| "eval_custom-arc-semantics-data-jp_manhattan_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 527.3822021484375, | |
| "eval_custom-arc-semantics-data-jp_manhattan_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 527.3822021484375, | |
| "eval_custom-arc-semantics-data-jp_max_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_max_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_max_f1_threshold": 527.3822021484375, | |
| "eval_custom-arc-semantics-data-jp_max_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_recall": 0.8, | |
| "eval_loss": 0.2168869525194168, | |
| "eval_runtime": 2.7296, | |
| "eval_samples_per_second": 2.198, | |
| "eval_steps_per_second": 0.366, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 0.3190430998802185, | |
| "learning_rate": 6.666666666666667e-06, | |
| "loss": 0.0824, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.45021578669548035, | |
| "eval_custom-arc-semantics-data-jp_cosine_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.45021578669548035, | |
| "eval_custom-arc-semantics-data-jp_cosine_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_cosine_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 241.99093627929688, | |
| "eval_custom-arc-semantics-data-jp_dot_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_dot_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_dot_f1_threshold": 241.99093627929688, | |
| "eval_custom-arc-semantics-data-jp_dot_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 24.27983283996582, | |
| "eval_custom-arc-semantics-data-jp_euclidean_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 24.27983283996582, | |
| "eval_custom-arc-semantics-data-jp_euclidean_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 532.0448608398438, | |
| "eval_custom-arc-semantics-data-jp_manhattan_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 532.0448608398438, | |
| "eval_custom-arc-semantics-data-jp_manhattan_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 532.0448608398438, | |
| "eval_custom-arc-semantics-data-jp_max_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_max_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_max_f1_threshold": 532.0448608398438, | |
| "eval_custom-arc-semantics-data-jp_max_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_recall": 0.8, | |
| "eval_loss": 0.2245994359254837, | |
| "eval_runtime": 2.6403, | |
| "eval_samples_per_second": 2.273, | |
| "eval_steps_per_second": 0.379, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "grad_norm": 0.2815457880496979, | |
| "learning_rate": 3.3333333333333333e-06, | |
| "loss": 0.0732, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.45798632502555847, | |
| "eval_custom-arc-semantics-data-jp_cosine_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.45798632502555847, | |
| "eval_custom-arc-semantics-data-jp_cosine_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_cosine_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 245.57119750976562, | |
| "eval_custom-arc-semantics-data-jp_dot_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_dot_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_dot_f1_threshold": 245.57119750976562, | |
| "eval_custom-arc-semantics-data-jp_dot_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 24.071979522705078, | |
| "eval_custom-arc-semantics-data-jp_euclidean_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 24.071979522705078, | |
| "eval_custom-arc-semantics-data-jp_euclidean_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 527.4176025390625, | |
| "eval_custom-arc-semantics-data-jp_manhattan_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 527.4176025390625, | |
| "eval_custom-arc-semantics-data-jp_manhattan_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 527.4176025390625, | |
| "eval_custom-arc-semantics-data-jp_max_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_max_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_max_f1_threshold": 527.4176025390625, | |
| "eval_custom-arc-semantics-data-jp_max_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_recall": 0.8, | |
| "eval_loss": 0.22094659507274628, | |
| "eval_runtime": 2.8393, | |
| "eval_samples_per_second": 2.113, | |
| "eval_steps_per_second": 0.352, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "grad_norm": 0.32951635122299194, | |
| "learning_rate": 0.0, | |
| "loss": 0.0672, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_cosine_accuracy_threshold": 0.4631122350692749, | |
| "eval_custom-arc-semantics-data-jp_cosine_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_cosine_f1_threshold": 0.4631122350692749, | |
| "eval_custom-arc-semantics-data-jp_cosine_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_cosine_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_dot_accuracy_threshold": 248.13394165039062, | |
| "eval_custom-arc-semantics-data-jp_dot_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_dot_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_dot_f1_threshold": 248.13394165039062, | |
| "eval_custom-arc-semantics-data-jp_dot_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_dot_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_euclidean_accuracy_threshold": 23.945947647094727, | |
| "eval_custom-arc-semantics-data-jp_euclidean_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_euclidean_f1_threshold": 23.945947647094727, | |
| "eval_custom-arc-semantics-data-jp_euclidean_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_euclidean_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_manhattan_accuracy_threshold": 524.65185546875, | |
| "eval_custom-arc-semantics-data-jp_manhattan_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_manhattan_f1_threshold": 524.65185546875, | |
| "eval_custom-arc-semantics-data-jp_manhattan_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_manhattan_recall": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy": 0.6666666666666666, | |
| "eval_custom-arc-semantics-data-jp_max_accuracy_threshold": 524.65185546875, | |
| "eval_custom-arc-semantics-data-jp_max_ap": 0.8766666666666667, | |
| "eval_custom-arc-semantics-data-jp_max_f1": 0.8000000000000002, | |
| "eval_custom-arc-semantics-data-jp_max_f1_threshold": 524.65185546875, | |
| "eval_custom-arc-semantics-data-jp_max_precision": 0.8, | |
| "eval_custom-arc-semantics-data-jp_max_recall": 0.8, | |
| "eval_loss": 0.21867813169956207, | |
| "eval_runtime": 2.9145, | |
| "eval_samples_per_second": 2.059, | |
| "eval_steps_per_second": 0.343, | |
| "step": 60 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 60, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "save_steps": 100, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 0.0, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |