klora_2000_skill / 111 /trainer_state.json
RayDu0010's picture
Upload folder using huggingface_hub
d8d7e20 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 500,
"global_step": 276,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.018148820326678767,
"grad_norm": 1.0784239768981934,
"learning_rate": 1.7391304347826088e-06,
"loss": 1.2027,
"step": 5
},
{
"epoch": 0.036297640653357534,
"grad_norm": 0.8809816837310791,
"learning_rate": 3.913043478260869e-06,
"loss": 1.2648,
"step": 10
},
{
"epoch": 0.0544464609800363,
"grad_norm": 0.6940921545028687,
"learning_rate": 6.086956521739131e-06,
"loss": 1.263,
"step": 15
},
{
"epoch": 0.07259528130671507,
"grad_norm": 0.7154361009597778,
"learning_rate": 8.260869565217392e-06,
"loss": 1.2225,
"step": 20
},
{
"epoch": 0.09074410163339383,
"grad_norm": 0.6354780197143555,
"learning_rate": 1.0434782608695653e-05,
"loss": 1.2134,
"step": 25
},
{
"epoch": 0.1088929219600726,
"grad_norm": 0.6585204005241394,
"learning_rate": 1.2608695652173912e-05,
"loss": 1.14,
"step": 30
},
{
"epoch": 0.12704174228675136,
"grad_norm": 0.5307602286338806,
"learning_rate": 1.4782608695652174e-05,
"loss": 1.128,
"step": 35
},
{
"epoch": 0.14519056261343014,
"grad_norm": 0.5485066771507263,
"learning_rate": 1.6956521739130433e-05,
"loss": 1.1518,
"step": 40
},
{
"epoch": 0.16333938294010888,
"grad_norm": 0.7185664772987366,
"learning_rate": 1.9130434782608694e-05,
"loss": 1.1149,
"step": 45
},
{
"epoch": 0.18148820326678766,
"grad_norm": 0.51127028465271,
"learning_rate": 2.1304347826086958e-05,
"loss": 1.143,
"step": 50
},
{
"epoch": 0.1996370235934664,
"grad_norm": 0.535865843296051,
"learning_rate": 2.347826086956522e-05,
"loss": 1.1259,
"step": 55
},
{
"epoch": 0.2177858439201452,
"grad_norm": 0.5300245881080627,
"learning_rate": 2.565217391304348e-05,
"loss": 1.0789,
"step": 60
},
{
"epoch": 0.23593466424682397,
"grad_norm": 0.5276510715484619,
"learning_rate": 2.782608695652174e-05,
"loss": 1.0811,
"step": 65
},
{
"epoch": 0.2540834845735027,
"grad_norm": 0.5264666676521301,
"learning_rate": 3e-05,
"loss": 1.0645,
"step": 70
},
{
"epoch": 0.27223230490018147,
"grad_norm": 0.5153283476829529,
"learning_rate": 2.999892331059753e-05,
"loss": 1.1043,
"step": 75
},
{
"epoch": 0.29038112522686027,
"grad_norm": 0.533360481262207,
"learning_rate": 2.999569339695812e-05,
"loss": 1.0288,
"step": 80
},
{
"epoch": 0.308529945553539,
"grad_norm": 0.6700855493545532,
"learning_rate": 2.9990310722763616e-05,
"loss": 1.0037,
"step": 85
},
{
"epoch": 0.32667876588021777,
"grad_norm": 0.6054568290710449,
"learning_rate": 2.9982776060743112e-05,
"loss": 1.0362,
"step": 90
},
{
"epoch": 0.3448275862068966,
"grad_norm": 0.9136693477630615,
"learning_rate": 2.9973090492562048e-05,
"loss": 1.0228,
"step": 95
},
{
"epoch": 0.3629764065335753,
"grad_norm": 0.609896183013916,
"learning_rate": 2.9961255408666903e-05,
"loss": 0.9895,
"step": 100
},
{
"epoch": 0.3811252268602541,
"grad_norm": 0.657203733921051,
"learning_rate": 2.99472725080856e-05,
"loss": 0.9758,
"step": 105
},
{
"epoch": 0.3992740471869328,
"grad_norm": 0.7311093211174011,
"learning_rate": 2.9931143798183588e-05,
"loss": 0.9626,
"step": 110
},
{
"epoch": 0.41742286751361163,
"grad_norm": 0.6201342940330505,
"learning_rate": 2.9912871594375667e-05,
"loss": 0.9704,
"step": 115
},
{
"epoch": 0.4355716878402904,
"grad_norm": 0.6121538281440735,
"learning_rate": 2.98924585197936e-05,
"loss": 0.931,
"step": 120
},
{
"epoch": 0.4537205081669691,
"grad_norm": 0.6566389799118042,
"learning_rate": 2.9869907504909532e-05,
"loss": 0.9246,
"step": 125
},
{
"epoch": 0.47186932849364793,
"grad_norm": 0.6150594353675842,
"learning_rate": 2.984522178711529e-05,
"loss": 0.9232,
"step": 130
},
{
"epoch": 0.4900181488203267,
"grad_norm": 0.68607497215271,
"learning_rate": 2.9818404910257645e-05,
"loss": 0.8966,
"step": 135
},
{
"epoch": 0.5081669691470054,
"grad_norm": 0.6849779486656189,
"learning_rate": 2.9789460724129545e-05,
"loss": 0.9419,
"step": 140
},
{
"epoch": 0.5263157894736842,
"grad_norm": 0.8690723180770874,
"learning_rate": 2.9758393383917447e-05,
"loss": 0.8704,
"step": 145
},
{
"epoch": 0.5444646098003629,
"grad_norm": 0.962196409702301,
"learning_rate": 2.9725207349604823e-05,
"loss": 0.9073,
"step": 150
},
{
"epoch": 0.5626134301270418,
"grad_norm": 0.7416574954986572,
"learning_rate": 2.968990738533186e-05,
"loss": 0.9249,
"step": 155
},
{
"epoch": 0.5807622504537205,
"grad_norm": 0.7890663146972656,
"learning_rate": 2.965249855871155e-05,
"loss": 0.8781,
"step": 160
},
{
"epoch": 0.5989110707803993,
"grad_norm": 0.814849317073822,
"learning_rate": 2.961298624010219e-05,
"loss": 0.8271,
"step": 165
},
{
"epoch": 0.617059891107078,
"grad_norm": 0.8292708396911621,
"learning_rate": 2.9571376101836397e-05,
"loss": 0.8268,
"step": 170
},
{
"epoch": 0.6352087114337568,
"grad_norm": 0.8682757019996643,
"learning_rate": 2.9527674117406834e-05,
"loss": 0.7837,
"step": 175
},
{
"epoch": 0.6533575317604355,
"grad_norm": 0.7653095126152039,
"learning_rate": 2.948188656060864e-05,
"loss": 0.8026,
"step": 180
},
{
"epoch": 0.6715063520871143,
"grad_norm": 1.0673071146011353,
"learning_rate": 2.9434020004638757e-05,
"loss": 0.7887,
"step": 185
},
{
"epoch": 0.6896551724137931,
"grad_norm": 0.869884192943573,
"learning_rate": 2.9384081321152335e-05,
"loss": 0.7971,
"step": 190
},
{
"epoch": 0.7078039927404719,
"grad_norm": 0.926493227481842,
"learning_rate": 2.9332077679276206e-05,
"loss": 0.7297,
"step": 195
},
{
"epoch": 0.7259528130671506,
"grad_norm": 0.8653711080551147,
"learning_rate": 2.927801654457972e-05,
"loss": 0.7314,
"step": 200
},
{
"epoch": 0.7441016333938294,
"grad_norm": 0.8328022956848145,
"learning_rate": 2.9221905678002982e-05,
"loss": 0.7543,
"step": 205
},
{
"epoch": 0.7622504537205081,
"grad_norm": 0.8467786908149719,
"learning_rate": 2.9163753134742716e-05,
"loss": 0.7292,
"step": 210
},
{
"epoch": 0.7803992740471869,
"grad_norm": 0.9099471569061279,
"learning_rate": 2.910356726309586e-05,
"loss": 0.7632,
"step": 215
},
{
"epoch": 0.7985480943738656,
"grad_norm": 0.8697426915168762,
"learning_rate": 2.9041356703261108e-05,
"loss": 0.6898,
"step": 220
},
{
"epoch": 0.8166969147005445,
"grad_norm": 0.8971152305603027,
"learning_rate": 2.8977130386098525e-05,
"loss": 0.6785,
"step": 225
},
{
"epoch": 0.8348457350272233,
"grad_norm": 0.9118236303329468,
"learning_rate": 2.8910897531847447e-05,
"loss": 0.6571,
"step": 230
},
{
"epoch": 0.852994555353902,
"grad_norm": 0.8698996901512146,
"learning_rate": 2.8842667648802847e-05,
"loss": 0.6911,
"step": 235
},
{
"epoch": 0.8711433756805808,
"grad_norm": 0.9623836874961853,
"learning_rate": 2.877245053195033e-05,
"loss": 0.6313,
"step": 240
},
{
"epoch": 0.8892921960072595,
"grad_norm": 0.9111562371253967,
"learning_rate": 2.8700256261559962e-05,
"loss": 0.6695,
"step": 245
},
{
"epoch": 0.9074410163339383,
"grad_norm": 0.8837359547615051,
"learning_rate": 2.8626095201739206e-05,
"loss": 0.6461,
"step": 250
},
{
"epoch": 0.925589836660617,
"grad_norm": 1.2072163820266724,
"learning_rate": 2.8549977998945003e-05,
"loss": 0.6622,
"step": 255
},
{
"epoch": 0.9437386569872959,
"grad_norm": 0.987786591053009,
"learning_rate": 2.847191558045544e-05,
"loss": 0.6912,
"step": 260
},
{
"epoch": 0.9618874773139746,
"grad_norm": 0.9701903462409973,
"learning_rate": 2.839191915280102e-05,
"loss": 0.6322,
"step": 265
},
{
"epoch": 0.9800362976406534,
"grad_norm": 1.2309809923171997,
"learning_rate": 2.831000020015585e-05,
"loss": 0.5662,
"step": 270
},
{
"epoch": 0.9981851179673321,
"grad_norm": 1.0858169794082642,
"learning_rate": 2.8226170482689022e-05,
"loss": 0.6321,
"step": 275
}
],
"logging_steps": 5,
"max_steps": 1380,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"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": 3.8427147710234624e+17,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}