prxy5607's picture
Training in progress, step 50, checkpoint
b70ff6f verified
raw
history blame
9.75 kB
{
"best_metric": 1.3664671182632446,
"best_model_checkpoint": "miner_id_24/checkpoint-50",
"epoch": 1.0101010101010102,
"eval_steps": 50,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.020202020202020204,
"grad_norm": 5.289388179779053,
"learning_rate": 5e-06,
"loss": 3.9043,
"step": 1
},
{
"epoch": 0.020202020202020204,
"eval_loss": 5.048096656799316,
"eval_runtime": 4.2841,
"eval_samples_per_second": 19.607,
"eval_steps_per_second": 9.804,
"step": 1
},
{
"epoch": 0.04040404040404041,
"grad_norm": 6.221162796020508,
"learning_rate": 1e-05,
"loss": 4.4545,
"step": 2
},
{
"epoch": 0.06060606060606061,
"grad_norm": 6.830175876617432,
"learning_rate": 1.5e-05,
"loss": 4.4955,
"step": 3
},
{
"epoch": 0.08080808080808081,
"grad_norm": 7.195596694946289,
"learning_rate": 2e-05,
"loss": 4.5755,
"step": 4
},
{
"epoch": 0.10101010101010101,
"grad_norm": 6.808708667755127,
"learning_rate": 2.5e-05,
"loss": 4.6561,
"step": 5
},
{
"epoch": 0.12121212121212122,
"grad_norm": 7.063287258148193,
"learning_rate": 3e-05,
"loss": 4.7259,
"step": 6
},
{
"epoch": 0.1414141414141414,
"grad_norm": 7.591980934143066,
"learning_rate": 3.5e-05,
"loss": 4.7279,
"step": 7
},
{
"epoch": 0.16161616161616163,
"grad_norm": 6.363076686859131,
"learning_rate": 4e-05,
"loss": 4.4684,
"step": 8
},
{
"epoch": 0.18181818181818182,
"grad_norm": 4.987633228302002,
"learning_rate": 4.5e-05,
"loss": 4.4504,
"step": 9
},
{
"epoch": 0.20202020202020202,
"grad_norm": 4.296280860900879,
"learning_rate": 5e-05,
"loss": 4.0533,
"step": 10
},
{
"epoch": 0.2222222222222222,
"grad_norm": 3.862339735031128,
"learning_rate": 5.500000000000001e-05,
"loss": 4.0011,
"step": 11
},
{
"epoch": 0.24242424242424243,
"grad_norm": 3.470243453979492,
"learning_rate": 6e-05,
"loss": 4.0229,
"step": 12
},
{
"epoch": 0.26262626262626265,
"grad_norm": 2.2312989234924316,
"learning_rate": 6.500000000000001e-05,
"loss": 2.9522,
"step": 13
},
{
"epoch": 0.2828282828282828,
"grad_norm": 2.9605283737182617,
"learning_rate": 7e-05,
"loss": 3.0682,
"step": 14
},
{
"epoch": 0.30303030303030304,
"grad_norm": 2.9798710346221924,
"learning_rate": 7.500000000000001e-05,
"loss": 3.2887,
"step": 15
},
{
"epoch": 0.32323232323232326,
"grad_norm": 2.613205671310425,
"learning_rate": 8e-05,
"loss": 3.043,
"step": 16
},
{
"epoch": 0.3434343434343434,
"grad_norm": 2.627354860305786,
"learning_rate": 8.5e-05,
"loss": 3.0214,
"step": 17
},
{
"epoch": 0.36363636363636365,
"grad_norm": 2.2543275356292725,
"learning_rate": 9e-05,
"loss": 2.7168,
"step": 18
},
{
"epoch": 0.3838383838383838,
"grad_norm": 1.868975281715393,
"learning_rate": 9.5e-05,
"loss": 2.8404,
"step": 19
},
{
"epoch": 0.40404040404040403,
"grad_norm": 1.8961381912231445,
"learning_rate": 0.0001,
"loss": 2.6021,
"step": 20
},
{
"epoch": 0.42424242424242425,
"grad_norm": 1.7066221237182617,
"learning_rate": 9.998517349225698e-05,
"loss": 2.5649,
"step": 21
},
{
"epoch": 0.4444444444444444,
"grad_norm": 1.9032788276672363,
"learning_rate": 9.994070276204116e-05,
"loss": 2.3567,
"step": 22
},
{
"epoch": 0.46464646464646464,
"grad_norm": 1.6003658771514893,
"learning_rate": 9.986661418317759e-05,
"loss": 2.2917,
"step": 23
},
{
"epoch": 0.48484848484848486,
"grad_norm": 1.7048600912094116,
"learning_rate": 9.976295169466178e-05,
"loss": 2.5865,
"step": 24
},
{
"epoch": 0.5050505050505051,
"grad_norm": 1.562213659286499,
"learning_rate": 9.962977677460132e-05,
"loss": 2.0904,
"step": 25
},
{
"epoch": 0.5252525252525253,
"grad_norm": 1.4012371301651,
"learning_rate": 9.946716840375551e-05,
"loss": 1.9331,
"step": 26
},
{
"epoch": 0.5454545454545454,
"grad_norm": 1.4172520637512207,
"learning_rate": 9.927522301869515e-05,
"loss": 2.04,
"step": 27
},
{
"epoch": 0.5656565656565656,
"grad_norm": 1.2087681293487549,
"learning_rate": 9.905405445460972e-05,
"loss": 2.0439,
"step": 28
},
{
"epoch": 0.5858585858585859,
"grad_norm": 1.3168634176254272,
"learning_rate": 9.880379387779637e-05,
"loss": 2.0186,
"step": 29
},
{
"epoch": 0.6060606060606061,
"grad_norm": 1.3884882926940918,
"learning_rate": 9.852458970787026e-05,
"loss": 1.7423,
"step": 30
},
{
"epoch": 0.6262626262626263,
"grad_norm": 1.2662495374679565,
"learning_rate": 9.821660752974293e-05,
"loss": 1.8134,
"step": 31
},
{
"epoch": 0.6464646464646465,
"grad_norm": 1.2647764682769775,
"learning_rate": 9.78800299954203e-05,
"loss": 1.9441,
"step": 32
},
{
"epoch": 0.6666666666666666,
"grad_norm": 1.4162395000457764,
"learning_rate": 9.751505671567913e-05,
"loss": 1.7532,
"step": 33
},
{
"epoch": 0.6868686868686869,
"grad_norm": 1.3138062953948975,
"learning_rate": 9.712190414168572e-05,
"loss": 1.8705,
"step": 34
},
{
"epoch": 0.7070707070707071,
"grad_norm": 1.2262977361679077,
"learning_rate": 9.67008054366274e-05,
"loss": 1.7738,
"step": 35
},
{
"epoch": 0.7272727272727273,
"grad_norm": 1.5342642068862915,
"learning_rate": 9.625201033743261e-05,
"loss": 1.9003,
"step": 36
},
{
"epoch": 0.7474747474747475,
"grad_norm": 1.0173803567886353,
"learning_rate": 9.577578500666187e-05,
"loss": 1.4541,
"step": 37
},
{
"epoch": 0.7676767676767676,
"grad_norm": 0.9901583194732666,
"learning_rate": 9.527241187465734e-05,
"loss": 1.577,
"step": 38
},
{
"epoch": 0.7878787878787878,
"grad_norm": 0.9777953028678894,
"learning_rate": 9.474218947204459e-05,
"loss": 1.396,
"step": 39
},
{
"epoch": 0.8080808080808081,
"grad_norm": 1.240479588508606,
"learning_rate": 9.418543225268596e-05,
"loss": 1.6402,
"step": 40
},
{
"epoch": 0.8282828282828283,
"grad_norm": 1.1354819536209106,
"learning_rate": 9.360247040719039e-05,
"loss": 1.5014,
"step": 41
},
{
"epoch": 0.8484848484848485,
"grad_norm": 1.0067344903945923,
"learning_rate": 9.29936496670905e-05,
"loss": 1.4353,
"step": 42
},
{
"epoch": 0.8686868686868687,
"grad_norm": 1.0829236507415771,
"learning_rate": 9.235933109980301e-05,
"loss": 1.4657,
"step": 43
},
{
"epoch": 0.8888888888888888,
"grad_norm": 1.0891422033309937,
"learning_rate": 9.16998908944939e-05,
"loss": 1.5081,
"step": 44
},
{
"epoch": 0.9090909090909091,
"grad_norm": 1.0870673656463623,
"learning_rate": 9.101572013897555e-05,
"loss": 1.4492,
"step": 45
},
{
"epoch": 0.9292929292929293,
"grad_norm": 1.154875636100769,
"learning_rate": 9.030722458776814e-05,
"loss": 1.4784,
"step": 46
},
{
"epoch": 0.9494949494949495,
"grad_norm": 1.2022784948349,
"learning_rate": 8.957482442146272e-05,
"loss": 1.4172,
"step": 47
},
{
"epoch": 0.9696969696969697,
"grad_norm": 1.1286842823028564,
"learning_rate": 8.881895399752874e-05,
"loss": 1.3976,
"step": 48
},
{
"epoch": 0.98989898989899,
"grad_norm": 1.2492576837539673,
"learning_rate": 8.80400615927139e-05,
"loss": 1.3521,
"step": 49
},
{
"epoch": 1.0101010101010102,
"grad_norm": 1.5818628072738647,
"learning_rate": 8.72386091371891e-05,
"loss": 1.8895,
"step": 50
},
{
"epoch": 1.0101010101010102,
"eval_loss": 1.3664671182632446,
"eval_runtime": 4.2876,
"eval_samples_per_second": 19.591,
"eval_steps_per_second": 9.796,
"step": 50
}
],
"logging_steps": 1,
"max_steps": 149,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 50,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 5,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 1.359873201143808e+16,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}