|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 1.103448275862069, |
|
"eval_steps": 17, |
|
"global_step": 200, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.005517241379310344, |
|
"eval_loss": 3.884207010269165, |
|
"eval_runtime": 4.4659, |
|
"eval_samples_per_second": 68.296, |
|
"eval_steps_per_second": 8.733, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.016551724137931035, |
|
"grad_norm": 0.6788153648376465, |
|
"learning_rate": 3e-05, |
|
"loss": 3.8284, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.03310344827586207, |
|
"grad_norm": 0.6769624352455139, |
|
"learning_rate": 6e-05, |
|
"loss": 3.7716, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.0496551724137931, |
|
"grad_norm": 0.8537060618400574, |
|
"learning_rate": 9e-05, |
|
"loss": 3.8822, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.06620689655172414, |
|
"grad_norm": 0.9294676780700684, |
|
"learning_rate": 9.997266286704631e-05, |
|
"loss": 3.7923, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.08275862068965517, |
|
"grad_norm": 0.9163342118263245, |
|
"learning_rate": 9.98292246503335e-05, |
|
"loss": 3.315, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.09379310344827586, |
|
"eval_loss": 3.4180614948272705, |
|
"eval_runtime": 4.4396, |
|
"eval_samples_per_second": 68.701, |
|
"eval_steps_per_second": 8.785, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.0993103448275862, |
|
"grad_norm": 1.1075429916381836, |
|
"learning_rate": 9.956320346634876e-05, |
|
"loss": 3.3909, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.11586206896551725, |
|
"grad_norm": 1.0358085632324219, |
|
"learning_rate": 9.917525374361912e-05, |
|
"loss": 3.0781, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.13241379310344828, |
|
"grad_norm": 0.6941744685173035, |
|
"learning_rate": 9.86663298624003e-05, |
|
"loss": 3.1513, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.1489655172413793, |
|
"grad_norm": 0.7888012528419495, |
|
"learning_rate": 9.803768380684242e-05, |
|
"loss": 2.815, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.16551724137931034, |
|
"grad_norm": 0.6974669694900513, |
|
"learning_rate": 9.729086208503174e-05, |
|
"loss": 2.7661, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.1820689655172414, |
|
"grad_norm": 0.7885407209396362, |
|
"learning_rate": 9.642770192448536e-05, |
|
"loss": 2.8794, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 0.18758620689655173, |
|
"eval_loss": 2.820341110229492, |
|
"eval_runtime": 4.4584, |
|
"eval_samples_per_second": 68.411, |
|
"eval_steps_per_second": 8.748, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 0.1986206896551724, |
|
"grad_norm": 0.8363791108131409, |
|
"learning_rate": 9.545032675245813e-05, |
|
"loss": 2.712, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.21517241379310345, |
|
"grad_norm": 0.7954784035682678, |
|
"learning_rate": 9.43611409721806e-05, |
|
"loss": 2.5269, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 0.2317241379310345, |
|
"grad_norm": 0.5852518081665039, |
|
"learning_rate": 9.316282404787871e-05, |
|
"loss": 2.4872, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 0.2482758620689655, |
|
"grad_norm": 0.5917105674743652, |
|
"learning_rate": 9.185832391312644e-05, |
|
"loss": 2.6372, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.26482758620689656, |
|
"grad_norm": 0.5113472938537598, |
|
"learning_rate": 9.045084971874738e-05, |
|
"loss": 2.3365, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 0.2813793103448276, |
|
"grad_norm": 0.6705360412597656, |
|
"learning_rate": 8.894386393810563e-05, |
|
"loss": 2.512, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 0.2813793103448276, |
|
"eval_loss": 2.4239444732666016, |
|
"eval_runtime": 4.4605, |
|
"eval_samples_per_second": 68.378, |
|
"eval_steps_per_second": 8.743, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 0.2979310344827586, |
|
"grad_norm": 0.46963927149772644, |
|
"learning_rate": 8.73410738492077e-05, |
|
"loss": 2.3514, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 0.31448275862068964, |
|
"grad_norm": 0.43661412596702576, |
|
"learning_rate": 8.564642241456986e-05, |
|
"loss": 2.3, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 0.3310344827586207, |
|
"grad_norm": 0.48196548223495483, |
|
"learning_rate": 8.386407858128706e-05, |
|
"loss": 2.2038, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.34758620689655173, |
|
"grad_norm": 0.47665441036224365, |
|
"learning_rate": 8.199842702516583e-05, |
|
"loss": 2.2897, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 0.3641379310344828, |
|
"grad_norm": 0.4325224459171295, |
|
"learning_rate": 8.005405736415126e-05, |
|
"loss": 2.1655, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 0.37517241379310345, |
|
"eval_loss": 2.257903575897217, |
|
"eval_runtime": 4.4787, |
|
"eval_samples_per_second": 68.1, |
|
"eval_steps_per_second": 8.708, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 0.38068965517241377, |
|
"grad_norm": 0.45721158385276794, |
|
"learning_rate": 7.803575286758364e-05, |
|
"loss": 2.1911, |
|
"step": 69 |
|
}, |
|
{ |
|
"epoch": 0.3972413793103448, |
|
"grad_norm": 0.5159802436828613, |
|
"learning_rate": 7.594847868906076e-05, |
|
"loss": 2.249, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 0.41379310344827586, |
|
"grad_norm": 0.4334803819656372, |
|
"learning_rate": 7.379736965185368e-05, |
|
"loss": 2.0298, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.4303448275862069, |
|
"grad_norm": 0.4824793338775635, |
|
"learning_rate": 7.158771761692464e-05, |
|
"loss": 2.1161, |
|
"step": 78 |
|
}, |
|
{ |
|
"epoch": 0.44689655172413795, |
|
"grad_norm": 0.507147490978241, |
|
"learning_rate": 6.932495846462261e-05, |
|
"loss": 2.1276, |
|
"step": 81 |
|
}, |
|
{ |
|
"epoch": 0.463448275862069, |
|
"grad_norm": 0.5079874396324158, |
|
"learning_rate": 6.701465872208216e-05, |
|
"loss": 2.3072, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 0.4689655172413793, |
|
"eval_loss": 2.1795969009399414, |
|
"eval_runtime": 4.4446, |
|
"eval_samples_per_second": 68.623, |
|
"eval_steps_per_second": 8.775, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"grad_norm": 0.5210072994232178, |
|
"learning_rate": 6.466250186922325e-05, |
|
"loss": 2.006, |
|
"step": 87 |
|
}, |
|
{ |
|
"epoch": 0.496551724137931, |
|
"grad_norm": 0.4956110119819641, |
|
"learning_rate": 6.227427435703997e-05, |
|
"loss": 2.0443, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.5131034482758621, |
|
"grad_norm": 0.5796875357627869, |
|
"learning_rate": 5.985585137257401e-05, |
|
"loss": 2.173, |
|
"step": 93 |
|
}, |
|
{ |
|
"epoch": 0.5296551724137931, |
|
"grad_norm": 0.5329291224479675, |
|
"learning_rate": 5.74131823855921e-05, |
|
"loss": 2.1224, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 0.5462068965517242, |
|
"grad_norm": 0.555596113204956, |
|
"learning_rate": 5.495227651252315e-05, |
|
"loss": 2.0329, |
|
"step": 99 |
|
}, |
|
{ |
|
"epoch": 0.5627586206896552, |
|
"grad_norm": 0.462854266166687, |
|
"learning_rate": 5.247918773366112e-05, |
|
"loss": 1.9292, |
|
"step": 102 |
|
}, |
|
{ |
|
"epoch": 0.5627586206896552, |
|
"eval_loss": 2.1433825492858887, |
|
"eval_runtime": 4.4422, |
|
"eval_samples_per_second": 68.66, |
|
"eval_steps_per_second": 8.779, |
|
"step": 102 |
|
}, |
|
{ |
|
"epoch": 0.5793103448275863, |
|
"grad_norm": 0.53304523229599, |
|
"learning_rate": 5e-05, |
|
"loss": 2.1968, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 0.5958620689655172, |
|
"grad_norm": 0.4985330402851105, |
|
"learning_rate": 4.7520812266338885e-05, |
|
"loss": 2.0337, |
|
"step": 108 |
|
}, |
|
{ |
|
"epoch": 0.6124137931034482, |
|
"grad_norm": 0.5477891564369202, |
|
"learning_rate": 4.504772348747687e-05, |
|
"loss": 2.1453, |
|
"step": 111 |
|
}, |
|
{ |
|
"epoch": 0.6289655172413793, |
|
"grad_norm": 0.5858056545257568, |
|
"learning_rate": 4.2586817614407895e-05, |
|
"loss": 2.1941, |
|
"step": 114 |
|
}, |
|
{ |
|
"epoch": 0.6455172413793103, |
|
"grad_norm": 0.4582912027835846, |
|
"learning_rate": 4.0144148627425993e-05, |
|
"loss": 1.9992, |
|
"step": 117 |
|
}, |
|
{ |
|
"epoch": 0.6565517241379311, |
|
"eval_loss": 2.1214051246643066, |
|
"eval_runtime": 4.4514, |
|
"eval_samples_per_second": 68.518, |
|
"eval_steps_per_second": 8.761, |
|
"step": 119 |
|
}, |
|
{ |
|
"epoch": 0.6620689655172414, |
|
"grad_norm": 0.5721688270568848, |
|
"learning_rate": 3.772572564296005e-05, |
|
"loss": 2.0894, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.6786206896551724, |
|
"grad_norm": 0.5939153432846069, |
|
"learning_rate": 3.533749813077677e-05, |
|
"loss": 2.0367, |
|
"step": 123 |
|
}, |
|
{ |
|
"epoch": 0.6951724137931035, |
|
"grad_norm": 0.5539590716362, |
|
"learning_rate": 3.298534127791785e-05, |
|
"loss": 2.1166, |
|
"step": 126 |
|
}, |
|
{ |
|
"epoch": 0.7117241379310345, |
|
"grad_norm": 0.5420939326286316, |
|
"learning_rate": 3.0675041535377405e-05, |
|
"loss": 1.9757, |
|
"step": 129 |
|
}, |
|
{ |
|
"epoch": 0.7282758620689656, |
|
"grad_norm": 0.5419110059738159, |
|
"learning_rate": 2.8412282383075363e-05, |
|
"loss": 1.9603, |
|
"step": 132 |
|
}, |
|
{ |
|
"epoch": 0.7448275862068966, |
|
"grad_norm": 0.5101600289344788, |
|
"learning_rate": 2.6202630348146324e-05, |
|
"loss": 1.9635, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 0.7503448275862069, |
|
"eval_loss": 2.1131086349487305, |
|
"eval_runtime": 4.4579, |
|
"eval_samples_per_second": 68.417, |
|
"eval_steps_per_second": 8.748, |
|
"step": 136 |
|
}, |
|
{ |
|
"epoch": 0.7613793103448275, |
|
"grad_norm": 0.5550276637077332, |
|
"learning_rate": 2.405152131093926e-05, |
|
"loss": 2.0373, |
|
"step": 138 |
|
}, |
|
{ |
|
"epoch": 0.7779310344827586, |
|
"grad_norm": 0.5338502526283264, |
|
"learning_rate": 2.196424713241637e-05, |
|
"loss": 2.1343, |
|
"step": 141 |
|
}, |
|
{ |
|
"epoch": 0.7944827586206896, |
|
"grad_norm": 0.47092920541763306, |
|
"learning_rate": 1.9945942635848748e-05, |
|
"loss": 1.9688, |
|
"step": 144 |
|
}, |
|
{ |
|
"epoch": 0.8110344827586207, |
|
"grad_norm": 0.5254806876182556, |
|
"learning_rate": 1.800157297483417e-05, |
|
"loss": 2.0718, |
|
"step": 147 |
|
}, |
|
{ |
|
"epoch": 0.8275862068965517, |
|
"grad_norm": 0.5177105069160461, |
|
"learning_rate": 1.6135921418712956e-05, |
|
"loss": 2.188, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.8441379310344828, |
|
"grad_norm": 0.49027958512306213, |
|
"learning_rate": 1.435357758543015e-05, |
|
"loss": 2.1538, |
|
"step": 153 |
|
}, |
|
{ |
|
"epoch": 0.8441379310344828, |
|
"eval_loss": 2.107172966003418, |
|
"eval_runtime": 4.4092, |
|
"eval_samples_per_second": 69.174, |
|
"eval_steps_per_second": 8.845, |
|
"step": 153 |
|
}, |
|
{ |
|
"epoch": 0.8606896551724138, |
|
"grad_norm": 0.4854514002799988, |
|
"learning_rate": 1.2658926150792322e-05, |
|
"loss": 1.8567, |
|
"step": 156 |
|
}, |
|
{ |
|
"epoch": 0.8772413793103448, |
|
"grad_norm": 0.4650457203388214, |
|
"learning_rate": 1.1056136061894384e-05, |
|
"loss": 2.0116, |
|
"step": 159 |
|
}, |
|
{ |
|
"epoch": 0.8937931034482759, |
|
"grad_norm": 0.4151840806007385, |
|
"learning_rate": 9.549150281252633e-06, |
|
"loss": 2.0101, |
|
"step": 162 |
|
}, |
|
{ |
|
"epoch": 0.9103448275862069, |
|
"grad_norm": 0.49467867612838745, |
|
"learning_rate": 8.141676086873572e-06, |
|
"loss": 2.0835, |
|
"step": 165 |
|
}, |
|
{ |
|
"epoch": 0.926896551724138, |
|
"grad_norm": 0.622384786605835, |
|
"learning_rate": 6.837175952121306e-06, |
|
"loss": 2.2758, |
|
"step": 168 |
|
}, |
|
{ |
|
"epoch": 0.9379310344827586, |
|
"eval_loss": 2.102418899536133, |
|
"eval_runtime": 4.4651, |
|
"eval_samples_per_second": 68.308, |
|
"eval_steps_per_second": 8.734, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.9434482758620689, |
|
"grad_norm": 0.5099430680274963, |
|
"learning_rate": 5.6388590278194096e-06, |
|
"loss": 1.9916, |
|
"step": 171 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"grad_norm": 0.49288663268089294, |
|
"learning_rate": 4.549673247541875e-06, |
|
"loss": 2.1636, |
|
"step": 174 |
|
}, |
|
{ |
|
"epoch": 0.976551724137931, |
|
"grad_norm": 0.5609566569328308, |
|
"learning_rate": 3.5722980755146517e-06, |
|
"loss": 2.0894, |
|
"step": 177 |
|
}, |
|
{ |
|
"epoch": 0.993103448275862, |
|
"grad_norm": 0.45057249069213867, |
|
"learning_rate": 2.7091379149682685e-06, |
|
"loss": 2.0022, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 1.0096551724137932, |
|
"grad_norm": 0.4906492233276367, |
|
"learning_rate": 1.962316193157593e-06, |
|
"loss": 2.3473, |
|
"step": 183 |
|
}, |
|
{ |
|
"epoch": 1.0262068965517241, |
|
"grad_norm": 0.6296617984771729, |
|
"learning_rate": 1.333670137599713e-06, |
|
"loss": 2.0053, |
|
"step": 186 |
|
}, |
|
{ |
|
"epoch": 1.0317241379310345, |
|
"eval_loss": 2.1006078720092773, |
|
"eval_runtime": 4.4441, |
|
"eval_samples_per_second": 68.63, |
|
"eval_steps_per_second": 8.776, |
|
"step": 187 |
|
}, |
|
{ |
|
"epoch": 1.042758620689655, |
|
"grad_norm": 0.4491814374923706, |
|
"learning_rate": 8.247462563808817e-07, |
|
"loss": 2.0738, |
|
"step": 189 |
|
}, |
|
{ |
|
"epoch": 1.0593103448275862, |
|
"grad_norm": 0.566460907459259, |
|
"learning_rate": 4.367965336512403e-07, |
|
"loss": 2.149, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 1.0758620689655172, |
|
"grad_norm": 0.4609183073043823, |
|
"learning_rate": 1.7077534966650766e-07, |
|
"loss": 2.0185, |
|
"step": 195 |
|
}, |
|
{ |
|
"epoch": 1.0924137931034483, |
|
"grad_norm": 0.5644339323043823, |
|
"learning_rate": 2.7337132953697554e-08, |
|
"loss": 1.8901, |
|
"step": 198 |
|
} |
|
], |
|
"logging_steps": 3, |
|
"max_steps": 200, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 2, |
|
"save_steps": 17, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.27034770292736e+16, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|