checkpoint-8752/trainer_state.json
| 1 | { |
| 2 | "best_metric": 1.0447938442230225, |
| 3 | "best_model_checkpoint": "fairface_age_image_detection/checkpoint-8752", |
| 4 | "epoch": 4.0, |
| 5 | "eval_steps": 500, |
| 6 | "global_step": 8752, |
| 7 | "is_hyper_param_search": false, |
| 8 | "is_local_process_zero": true, |
| 9 | "is_world_process_zero": true, |
| 10 | "log_history": [ |
| 11 | { |
| 12 | "epoch": 0.22851919561243145, |
| 13 | "grad_norm": 2.228593587875366, |
| 14 | "learning_rate": 3.7931509997701674e-06, |
| 15 | "loss": 1.8122, |
| 16 | "step": 500 |
| 17 | }, |
| 18 | { |
| 19 | "epoch": 0.4570383912248629, |
| 20 | "grad_norm": 3.4612433910369873, |
| 21 | "learning_rate": 3.5633187772925763e-06, |
| 22 | "loss": 1.4177, |
| 23 | "step": 1000 |
| 24 | }, |
| 25 | { |
| 26 | "epoch": 0.6855575868372943, |
| 27 | "grad_norm": 5.7468061447143555, |
| 28 | "learning_rate": 3.333486554814985e-06, |
| 29 | "loss": 1.3017, |
| 30 | "step": 1500 |
| 31 | }, |
| 32 | { |
| 33 | "epoch": 0.9140767824497258, |
| 34 | "grad_norm": 4.807565212249756, |
| 35 | "learning_rate": 3.1036543323373935e-06, |
| 36 | "loss": 1.2187, |
| 37 | "step": 2000 |
| 38 | }, |
| 39 | { |
| 40 | "epoch": 1.0, |
| 41 | "eval_accuracy": 0.5457, |
| 42 | "eval_loss": 1.1929566860198975, |
| 43 | "eval_model_preparation_time": 0.0035, |
| 44 | "eval_runtime": 876.5594, |
| 45 | "eval_samples_per_second": 11.408, |
| 46 | "eval_steps_per_second": 1.426, |
| 47 | "step": 2188 |
| 48 | }, |
| 49 | { |
| 50 | "epoch": 1.1425959780621573, |
| 51 | "grad_norm": 3.004606246948242, |
| 52 | "learning_rate": 2.873822109859802e-06, |
| 53 | "loss": 1.1713, |
| 54 | "step": 2500 |
| 55 | }, |
| 56 | { |
| 57 | "epoch": 1.3711151736745886, |
| 58 | "grad_norm": 4.531455039978027, |
| 59 | "learning_rate": 2.643989887382211e-06, |
| 60 | "loss": 1.1284, |
| 61 | "step": 3000 |
| 62 | }, |
| 63 | { |
| 64 | "epoch": 1.59963436928702, |
| 65 | "grad_norm": 3.8209729194641113, |
| 66 | "learning_rate": 2.4141576649046196e-06, |
| 67 | "loss": 1.105, |
| 68 | "step": 3500 |
| 69 | }, |
| 70 | { |
| 71 | "epoch": 1.8281535648994516, |
| 72 | "grad_norm": 3.4607913494110107, |
| 73 | "learning_rate": 2.184325442427028e-06, |
| 74 | "loss": 1.0773, |
| 75 | "step": 4000 |
| 76 | }, |
| 77 | { |
| 78 | "epoch": 2.0, |
| 79 | "eval_accuracy": 0.5754, |
| 80 | "eval_loss": 1.085502028465271, |
| 81 | "eval_model_preparation_time": 0.0035, |
| 82 | "eval_runtime": 892.4566, |
| 83 | "eval_samples_per_second": 11.205, |
| 84 | "eval_steps_per_second": 1.401, |
| 85 | "step": 4376 |
| 86 | }, |
| 87 | { |
| 88 | "epoch": 2.056672760511883, |
| 89 | "grad_norm": 4.261874675750732, |
| 90 | "learning_rate": 1.954493219949437e-06, |
| 91 | "loss": 1.0657, |
| 92 | "step": 4500 |
| 93 | }, |
| 94 | { |
| 95 | "epoch": 2.2851919561243146, |
| 96 | "grad_norm": 3.815229654312134, |
| 97 | "learning_rate": 1.7246609974718455e-06, |
| 98 | "loss": 1.036, |
| 99 | "step": 5000 |
| 100 | }, |
| 101 | { |
| 102 | "epoch": 2.5137111517367456, |
| 103 | "grad_norm": 4.119363307952881, |
| 104 | "learning_rate": 1.494828774994254e-06, |
| 105 | "loss": 1.0255, |
| 106 | "step": 5500 |
| 107 | }, |
| 108 | { |
| 109 | "epoch": 2.742230347349177, |
| 110 | "grad_norm": 4.172023296356201, |
| 111 | "learning_rate": 1.2649965525166627e-06, |
| 112 | "loss": 1.0126, |
| 113 | "step": 6000 |
| 114 | }, |
| 115 | { |
| 116 | "epoch": 2.9707495429616086, |
| 117 | "grad_norm": 3.792961597442627, |
| 118 | "learning_rate": 1.0351643300390714e-06, |
| 119 | "loss": 1.008, |
| 120 | "step": 6500 |
| 121 | }, |
| 122 | { |
| 123 | "epoch": 3.0, |
| 124 | "eval_accuracy": 0.5792, |
| 125 | "eval_loss": 1.0549699068069458, |
| 126 | "eval_model_preparation_time": 0.0035, |
| 127 | "eval_runtime": 902.9283, |
| 128 | "eval_samples_per_second": 11.075, |
| 129 | "eval_steps_per_second": 1.384, |
| 130 | "step": 6564 |
| 131 | }, |
| 132 | { |
| 133 | "epoch": 3.19926873857404, |
| 134 | "grad_norm": 6.58300256729126, |
| 135 | "learning_rate": 8.053321075614801e-07, |
| 136 | "loss": 0.9923, |
| 137 | "step": 7000 |
| 138 | }, |
| 139 | { |
| 140 | "epoch": 3.4277879341864717, |
| 141 | "grad_norm": 7.9831223487854, |
| 142 | "learning_rate": 5.754998850838887e-07, |
| 143 | "loss": 0.9792, |
| 144 | "step": 7500 |
| 145 | }, |
| 146 | { |
| 147 | "epoch": 3.656307129798903, |
| 148 | "grad_norm": 6.074549198150635, |
| 149 | "learning_rate": 3.456676626062974e-07, |
| 150 | "loss": 0.9826, |
| 151 | "step": 8000 |
| 152 | }, |
| 153 | { |
| 154 | "epoch": 3.8848263254113347, |
| 155 | "grad_norm": 6.298589706420898, |
| 156 | "learning_rate": 1.1583544012870603e-07, |
| 157 | "loss": 0.9858, |
| 158 | "step": 8500 |
| 159 | }, |
| 160 | { |
| 161 | "epoch": 4.0, |
| 162 | "eval_accuracy": 0.5809, |
| 163 | "eval_loss": 1.0447938442230225, |
| 164 | "eval_model_preparation_time": 0.0035, |
| 165 | "eval_runtime": 893.1973, |
| 166 | "eval_samples_per_second": 11.196, |
| 167 | "eval_steps_per_second": 1.399, |
| 168 | "step": 8752 |
| 169 | } |
| 170 | ], |
| 171 | "logging_steps": 500, |
| 172 | "max_steps": 8752, |
| 173 | "num_input_tokens_seen": 0, |
| 174 | "num_train_epochs": 4, |
| 175 | "save_steps": 500, |
| 176 | "stateful_callbacks": { |
| 177 | "TrainerControl": { |
| 178 | "args": { |
| 179 | "should_epoch_stop": false, |
| 180 | "should_evaluate": false, |
| 181 | "should_log": false, |
| 182 | "should_save": true, |
| 183 | "should_training_stop": true |
| 184 | }, |
| 185 | "attributes": {} |
| 186 | } |
| 187 | }, |
| 188 | "total_flos": 2.169911838302208e+19, |
| 189 | "train_batch_size": 32, |
| 190 | "trial_name": null, |
| 191 | "trial_params": null |
| 192 | } |
| 193 | |