| { | |
| "best_metric": 0.5975975975975976, | |
| "best_model_checkpoint": "outputs/xlm-roberta-base-reddit-indonesia-sarcastic/checkpoint-1854", | |
| "epoch": 8.0, | |
| "eval_steps": 500, | |
| "global_step": 2472, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 9.997611994132918e-06, | |
| "loss": 0.5174, | |
| "step": 309 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7725017717930546, | |
| "eval_f1": 0.46410684474123537, | |
| "eval_loss": 0.4617661237716675, | |
| "eval_precision": 0.5650406504065041, | |
| "eval_recall": 0.3937677053824363, | |
| "eval_runtime": 5.4985, | |
| "eval_samples_per_second": 256.614, | |
| "eval_steps_per_second": 4.183, | |
| "step": 309 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 9.990324230393262e-06, | |
| "loss": 0.4462, | |
| "step": 618 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7994330262225372, | |
| "eval_f1": 0.5428109854604201, | |
| "eval_loss": 0.44074001908302307, | |
| "eval_precision": 0.631578947368421, | |
| "eval_recall": 0.47592067988668557, | |
| "eval_runtime": 5.4944, | |
| "eval_samples_per_second": 256.808, | |
| "eval_steps_per_second": 4.186, | |
| "step": 618 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 9.97814344098319e-06, | |
| "loss": 0.3952, | |
| "step": 927 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8036853295535081, | |
| "eval_f1": 0.4990958408679928, | |
| "eval_loss": 0.46895381808280945, | |
| "eval_precision": 0.69, | |
| "eval_recall": 0.3909348441926346, | |
| "eval_runtime": 5.4972, | |
| "eval_samples_per_second": 256.677, | |
| "eval_steps_per_second": 4.184, | |
| "step": 927 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 9.961018240847407e-06, | |
| "loss": 0.3525, | |
| "step": 1236 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8079376328844791, | |
| "eval_f1": 0.5152057245080501, | |
| "eval_loss": 0.49054116010665894, | |
| "eval_precision": 0.6990291262135923, | |
| "eval_recall": 0.40793201133144474, | |
| "eval_runtime": 5.492, | |
| "eval_samples_per_second": 256.917, | |
| "eval_steps_per_second": 4.188, | |
| "step": 1236 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 9.938997114658899e-06, | |
| "loss": 0.3102, | |
| "step": 1545 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.81218993621545, | |
| "eval_f1": 0.5916795069337443, | |
| "eval_loss": 0.47409912943840027, | |
| "eval_precision": 0.6486486486486487, | |
| "eval_recall": 0.5439093484419264, | |
| "eval_runtime": 5.495, | |
| "eval_samples_per_second": 256.78, | |
| "eval_steps_per_second": 4.186, | |
| "step": 1545 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 9.912196668799343e-06, | |
| "loss": 0.2645, | |
| "step": 1854 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8100637845499645, | |
| "eval_f1": 0.5975975975975976, | |
| "eval_loss": 0.4963834285736084, | |
| "eval_precision": 0.6357827476038339, | |
| "eval_recall": 0.5637393767705382, | |
| "eval_runtime": 5.4944, | |
| "eval_samples_per_second": 256.807, | |
| "eval_steps_per_second": 4.186, | |
| "step": 1854 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 9.880469337563785e-06, | |
| "loss": 0.2168, | |
| "step": 2163 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8079376328844791, | |
| "eval_f1": 0.5824345146379045, | |
| "eval_loss": 0.5215579271316528, | |
| "eval_precision": 0.6385135135135135, | |
| "eval_recall": 0.5354107648725213, | |
| "eval_runtime": 5.501, | |
| "eval_samples_per_second": 256.501, | |
| "eval_steps_per_second": 4.181, | |
| "step": 2163 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 9.843925572318254e-06, | |
| "loss": 0.1759, | |
| "step": 2472 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.8043940467753367, | |
| "eval_f1": 0.5818181818181818, | |
| "eval_loss": 0.6826359033584595, | |
| "eval_precision": 0.6254071661237784, | |
| "eval_recall": 0.5439093484419264, | |
| "eval_runtime": 5.4973, | |
| "eval_samples_per_second": 256.673, | |
| "eval_steps_per_second": 4.184, | |
| "step": 2472 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "step": 2472, | |
| "total_flos": 5199600676024320.0, | |
| "train_loss": 0.3348430090351784, | |
| "train_runtime": 1124.687, | |
| "train_samples_per_second": 878.556, | |
| "train_steps_per_second": 27.474 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 30900, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 100, | |
| "save_steps": 500, | |
| "total_flos": 5199600676024320.0, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |