| { |
| "best_global_step": null, |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 0.12, |
| "eval_steps": 1000, |
| "global_step": 6000, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.002, |
| "grad_norm": 1.158125638961792, |
| "learning_rate": 7.920000000000001e-05, |
| "loss": 8.2536, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.004, |
| "grad_norm": 0.6474116444587708, |
| "learning_rate": 0.00015920000000000002, |
| "loss": 6.577, |
| "step": 200 |
| }, |
| { |
| "epoch": 0.006, |
| "grad_norm": 0.8440109491348267, |
| "learning_rate": 0.00023920000000000001, |
| "loss": 6.1636, |
| "step": 300 |
| }, |
| { |
| "epoch": 0.008, |
| "grad_norm": 0.712805986404419, |
| "learning_rate": 0.0003192, |
| "loss": 5.8686, |
| "step": 400 |
| }, |
| { |
| "epoch": 0.01, |
| "grad_norm": 0.6756730675697327, |
| "learning_rate": 0.0003992, |
| "loss": 5.5639, |
| "step": 500 |
| }, |
| { |
| "epoch": 0.012, |
| "grad_norm": 0.8336403965950012, |
| "learning_rate": 0.00047920000000000005, |
| "loss": 5.3098, |
| "step": 600 |
| }, |
| { |
| "epoch": 0.014, |
| "grad_norm": 0.6417033672332764, |
| "learning_rate": 0.0005592, |
| "loss": 5.0845, |
| "step": 700 |
| }, |
| { |
| "epoch": 0.016, |
| "grad_norm": 0.5867908596992493, |
| "learning_rate": 0.0006392, |
| "loss": 4.8767, |
| "step": 800 |
| }, |
| { |
| "epoch": 0.018, |
| "grad_norm": 0.5321984887123108, |
| "learning_rate": 0.0007191999999999999, |
| "loss": 4.7211, |
| "step": 900 |
| }, |
| { |
| "epoch": 0.02, |
| "grad_norm": 0.5662059187889099, |
| "learning_rate": 0.0007992, |
| "loss": 4.6059, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.02, |
| "eval_accuracy": 0.2709784735812133, |
| "eval_loss": 4.504483222961426, |
| "eval_runtime": 11.2003, |
| "eval_samples_per_second": 89.283, |
| "eval_steps_per_second": 0.714, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.022, |
| "grad_norm": 0.45525625348091125, |
| "learning_rate": 0.0008792, |
| "loss": 4.4901, |
| "step": 1100 |
| }, |
| { |
| "epoch": 0.024, |
| "grad_norm": 0.4701859652996063, |
| "learning_rate": 0.0009592000000000001, |
| "loss": 4.4344, |
| "step": 1200 |
| }, |
| { |
| "epoch": 0.026, |
| "grad_norm": 0.40884163975715637, |
| "learning_rate": 0.0010391999999999999, |
| "loss": 4.3707, |
| "step": 1300 |
| }, |
| { |
| "epoch": 0.028, |
| "grad_norm": 0.3846769332885742, |
| "learning_rate": 0.0011192, |
| "loss": 4.336, |
| "step": 1400 |
| }, |
| { |
| "epoch": 0.03, |
| "grad_norm": 0.3585458993911743, |
| "learning_rate": 0.0011992, |
| "loss": 4.2832, |
| "step": 1500 |
| }, |
| { |
| "epoch": 0.032, |
| "grad_norm": 0.4558027982711792, |
| "learning_rate": 0.0012791999999999999, |
| "loss": 4.2599, |
| "step": 1600 |
| }, |
| { |
| "epoch": 0.034, |
| "grad_norm": 0.33011195063591003, |
| "learning_rate": 0.0013592, |
| "loss": 4.2287, |
| "step": 1700 |
| }, |
| { |
| "epoch": 0.036, |
| "grad_norm": 0.32163774967193604, |
| "learning_rate": 0.0014392, |
| "loss": 4.1932, |
| "step": 1800 |
| }, |
| { |
| "epoch": 0.038, |
| "grad_norm": 0.30342814326286316, |
| "learning_rate": 0.0015192, |
| "loss": 4.1447, |
| "step": 1900 |
| }, |
| { |
| "epoch": 0.04, |
| "grad_norm": 0.32037997245788574, |
| "learning_rate": 0.0015992, |
| "loss": 4.149, |
| "step": 2000 |
| }, |
| { |
| "epoch": 0.04, |
| "eval_accuracy": 0.30734833659491195, |
| "eval_loss": 4.087185859680176, |
| "eval_runtime": 11.8275, |
| "eval_samples_per_second": 84.549, |
| "eval_steps_per_second": 0.676, |
| "step": 2000 |
| }, |
| { |
| "epoch": 0.042, |
| "grad_norm": 0.3013302683830261, |
| "learning_rate": 0.0016792, |
| "loss": 4.1191, |
| "step": 2100 |
| }, |
| { |
| "epoch": 0.044, |
| "grad_norm": 0.25836440920829773, |
| "learning_rate": 0.0017592, |
| "loss": 4.075, |
| "step": 2200 |
| }, |
| { |
| "epoch": 0.046, |
| "grad_norm": 0.2489597499370575, |
| "learning_rate": 0.0018392, |
| "loss": 4.0824, |
| "step": 2300 |
| }, |
| { |
| "epoch": 0.048, |
| "grad_norm": 0.24732087552547455, |
| "learning_rate": 0.0019192, |
| "loss": 4.0533, |
| "step": 2400 |
| }, |
| { |
| "epoch": 0.05, |
| "grad_norm": 0.2429002970457077, |
| "learning_rate": 0.0019992, |
| "loss": 4.0472, |
| "step": 2500 |
| }, |
| { |
| "epoch": 0.052, |
| "grad_norm": 0.21534161269664764, |
| "learning_rate": 0.001999978563623903, |
| "loss": 4.0063, |
| "step": 2600 |
| }, |
| { |
| "epoch": 0.054, |
| "grad_norm": 0.2244805246591568, |
| "learning_rate": 0.0019999133871331223, |
| "loss": 4.0074, |
| "step": 2700 |
| }, |
| { |
| "epoch": 0.056, |
| "grad_norm": 0.1999787837266922, |
| "learning_rate": 0.0019998044711915177, |
| "loss": 3.9708, |
| "step": 2800 |
| }, |
| { |
| "epoch": 0.058, |
| "grad_norm": 0.19969643652439117, |
| "learning_rate": 0.0019996518205634257, |
| "loss": 3.9525, |
| "step": 2900 |
| }, |
| { |
| "epoch": 0.06, |
| "grad_norm": 0.21098633110523224, |
| "learning_rate": 0.0019994554419262797, |
| "loss": 3.9491, |
| "step": 3000 |
| }, |
| { |
| "epoch": 0.06, |
| "eval_accuracy": 0.324146771037182, |
| "eval_loss": 3.9009768962860107, |
| "eval_runtime": 18.6503, |
| "eval_samples_per_second": 53.618, |
| "eval_steps_per_second": 0.429, |
| "step": 3000 |
| }, |
| { |
| "epoch": 0.062, |
| "grad_norm": 0.1954544633626938, |
| "learning_rate": 0.001999215343870317, |
| "loss": 3.942, |
| "step": 3100 |
| }, |
| { |
| "epoch": 0.064, |
| "grad_norm": 0.19358158111572266, |
| "learning_rate": 0.0019989315368982054, |
| "loss": 3.9159, |
| "step": 3200 |
| }, |
| { |
| "epoch": 0.066, |
| "grad_norm": 0.18568383157253265, |
| "learning_rate": 0.0019986040334245797, |
| "loss": 3.8959, |
| "step": 3300 |
| }, |
| { |
| "epoch": 0.068, |
| "grad_norm": 0.1798350065946579, |
| "learning_rate": 0.001998232847775504, |
| "loss": 3.9035, |
| "step": 3400 |
| }, |
| { |
| "epoch": 0.07, |
| "grad_norm": 0.18326053023338318, |
| "learning_rate": 0.0019978179961878404, |
| "loss": 3.8771, |
| "step": 3500 |
| }, |
| { |
| "epoch": 0.072, |
| "grad_norm": 0.1763591170310974, |
| "learning_rate": 0.001997359496808541, |
| "loss": 3.8714, |
| "step": 3600 |
| }, |
| { |
| "epoch": 0.074, |
| "grad_norm": 0.16502562165260315, |
| "learning_rate": 0.001996857369693855, |
| "loss": 3.8516, |
| "step": 3700 |
| }, |
| { |
| "epoch": 0.076, |
| "grad_norm": 0.18450422585010529, |
| "learning_rate": 0.0019963116368084486, |
| "loss": 3.8573, |
| "step": 3800 |
| }, |
| { |
| "epoch": 0.078, |
| "grad_norm": 0.1750190556049347, |
| "learning_rate": 0.001995722322024446, |
| "loss": 3.8403, |
| "step": 3900 |
| }, |
| { |
| "epoch": 0.08, |
| "grad_norm": 0.1842149794101715, |
| "learning_rate": 0.001995089451120385, |
| "loss": 3.8158, |
| "step": 4000 |
| }, |
| { |
| "epoch": 0.08, |
| "eval_accuracy": 0.3340352250489237, |
| "eval_loss": 3.7926738262176514, |
| "eval_runtime": 12.3279, |
| "eval_samples_per_second": 81.117, |
| "eval_steps_per_second": 0.649, |
| "step": 4000 |
| }, |
| { |
| "epoch": 0.082, |
| "grad_norm": 0.1560104936361313, |
| "learning_rate": 0.0019944130517800893, |
| "loss": 3.8258, |
| "step": 4100 |
| }, |
| { |
| "epoch": 0.084, |
| "grad_norm": 0.15086719393730164, |
| "learning_rate": 0.001993693153591457, |
| "loss": 3.8246, |
| "step": 4200 |
| }, |
| { |
| "epoch": 0.086, |
| "grad_norm": 0.1565793752670288, |
| "learning_rate": 0.0019929297880451674, |
| "loss": 3.8036, |
| "step": 4300 |
| }, |
| { |
| "epoch": 0.088, |
| "grad_norm": 0.16023847460746765, |
| "learning_rate": 0.0019921229885333023, |
| "loss": 3.7936, |
| "step": 4400 |
| }, |
| { |
| "epoch": 0.09, |
| "grad_norm": 0.16122952103614807, |
| "learning_rate": 0.001991272790347886, |
| "loss": 3.8071, |
| "step": 4500 |
| }, |
| { |
| "epoch": 0.092, |
| "grad_norm": 0.1704457700252533, |
| "learning_rate": 0.0019903792306793415, |
| "loss": 3.7761, |
| "step": 4600 |
| }, |
| { |
| "epoch": 0.094, |
| "grad_norm": 0.14904244244098663, |
| "learning_rate": 0.001989442348614863, |
| "loss": 3.7839, |
| "step": 4700 |
| }, |
| { |
| "epoch": 0.096, |
| "grad_norm": 0.15502023696899414, |
| "learning_rate": 0.0019884621851367075, |
| "loss": 3.7759, |
| "step": 4800 |
| }, |
| { |
| "epoch": 0.098, |
| "grad_norm": 0.14749225974082947, |
| "learning_rate": 0.001987438783120401, |
| "loss": 3.7718, |
| "step": 4900 |
| }, |
| { |
| "epoch": 0.1, |
| "grad_norm": 0.15654946863651276, |
| "learning_rate": 0.001986372187332862, |
| "loss": 3.7804, |
| "step": 5000 |
| }, |
| { |
| "epoch": 0.1, |
| "eval_accuracy": 0.3406477495107632, |
| "eval_loss": 3.7244012355804443, |
| "eval_runtime": 12.2821, |
| "eval_samples_per_second": 81.419, |
| "eval_steps_per_second": 0.651, |
| "step": 5000 |
| }, |
| { |
| "epoch": 0.102, |
| "grad_norm": 0.15231221914291382, |
| "learning_rate": 0.0019852624444304467, |
| "loss": 3.7449, |
| "step": 5100 |
| }, |
| { |
| "epoch": 0.104, |
| "grad_norm": 0.15843184292316437, |
| "learning_rate": 0.0019841096029569044, |
| "loss": 3.7559, |
| "step": 5200 |
| }, |
| { |
| "epoch": 0.106, |
| "grad_norm": 0.14371678233146667, |
| "learning_rate": 0.0019829137133412556, |
| "loss": 3.7536, |
| "step": 5300 |
| }, |
| { |
| "epoch": 0.108, |
| "grad_norm": 0.1501024067401886, |
| "learning_rate": 0.001981674827895587, |
| "loss": 3.7346, |
| "step": 5400 |
| }, |
| { |
| "epoch": 0.11, |
| "grad_norm": 0.1276807337999344, |
| "learning_rate": 0.00198039300081276, |
| "loss": 3.7387, |
| "step": 5500 |
| }, |
| { |
| "epoch": 0.112, |
| "grad_norm": 0.13706138730049133, |
| "learning_rate": 0.0019790682881640448, |
| "loss": 3.738, |
| "step": 5600 |
| }, |
| { |
| "epoch": 0.114, |
| "grad_norm": 0.14035683870315552, |
| "learning_rate": 0.001977700747896664, |
| "loss": 3.7224, |
| "step": 5700 |
| }, |
| { |
| "epoch": 0.116, |
| "grad_norm": 0.1608739197254181, |
| "learning_rate": 0.001976290439831259, |
| "loss": 3.7252, |
| "step": 5800 |
| }, |
| { |
| "epoch": 0.118, |
| "grad_norm": 0.130873903632164, |
| "learning_rate": 0.0019748374256592736, |
| "loss": 3.7179, |
| "step": 5900 |
| }, |
| { |
| "epoch": 0.12, |
| "grad_norm": 0.13922768831253052, |
| "learning_rate": 0.0019733417689402543, |
| "loss": 3.712, |
| "step": 6000 |
| }, |
| { |
| "epoch": 0.12, |
| "eval_accuracy": 0.3451976516634051, |
| "eval_loss": 3.6720173358917236, |
| "eval_runtime": 12.3084, |
| "eval_samples_per_second": 81.245, |
| "eval_steps_per_second": 0.65, |
| "step": 6000 |
| } |
| ], |
| "logging_steps": 100, |
| "max_steps": 50000, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 9223372036854775807, |
| "save_steps": 2000, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 0.0, |
| "train_batch_size": 128, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|