rootxhacker's picture
Upload folder using huggingface_hub
109a1ee verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.0,
"eval_steps": 500,
"global_step": 396,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.050505050505050504,
"grad_norm": 2.394207715988159,
"learning_rate": 1.9545454545454546e-05,
"loss": 5.1582,
"mean_token_accuracy": 0.2001233294606209,
"num_tokens": 870609.0,
"step": 10
},
{
"epoch": 0.10101010101010101,
"grad_norm": 1.912199854850769,
"learning_rate": 1.904040404040404e-05,
"loss": 4.9452,
"mean_token_accuracy": 0.2211832121014595,
"num_tokens": 1740025.0,
"step": 20
},
{
"epoch": 0.15151515151515152,
"grad_norm": 1.7625455856323242,
"learning_rate": 1.8535353535353537e-05,
"loss": 4.793,
"mean_token_accuracy": 0.23438227660953997,
"num_tokens": 2612799.0,
"step": 30
},
{
"epoch": 0.20202020202020202,
"grad_norm": 1.8361155986785889,
"learning_rate": 1.803030303030303e-05,
"loss": 4.6586,
"mean_token_accuracy": 0.2492609653621912,
"num_tokens": 3481685.0,
"step": 40
},
{
"epoch": 0.25252525252525254,
"grad_norm": 1.7993879318237305,
"learning_rate": 1.752525252525253e-05,
"loss": 4.5569,
"mean_token_accuracy": 0.2619336560368538,
"num_tokens": 4345672.0,
"step": 50
},
{
"epoch": 0.30303030303030304,
"grad_norm": 1.399275541305542,
"learning_rate": 1.7020202020202023e-05,
"loss": 4.4388,
"mean_token_accuracy": 0.27335850447416304,
"num_tokens": 5211312.0,
"step": 60
},
{
"epoch": 0.35353535353535354,
"grad_norm": 1.0864430665969849,
"learning_rate": 1.6515151515151517e-05,
"loss": 4.3731,
"mean_token_accuracy": 0.2805166557431221,
"num_tokens": 6083451.0,
"step": 70
},
{
"epoch": 0.40404040404040403,
"grad_norm": 1.1086381673812866,
"learning_rate": 1.601010101010101e-05,
"loss": 4.2975,
"mean_token_accuracy": 0.28774467632174494,
"num_tokens": 6945294.0,
"step": 80
},
{
"epoch": 0.45454545454545453,
"grad_norm": 3.123107671737671,
"learning_rate": 1.5505050505050508e-05,
"loss": 4.2324,
"mean_token_accuracy": 0.2966753713786602,
"num_tokens": 7817939.0,
"step": 90
},
{
"epoch": 0.5050505050505051,
"grad_norm": 0.9251999855041504,
"learning_rate": 1.5000000000000002e-05,
"loss": 4.1625,
"mean_token_accuracy": 0.3053535230457783,
"num_tokens": 8691417.0,
"step": 100
},
{
"epoch": 0.5555555555555556,
"grad_norm": 0.9401581287384033,
"learning_rate": 1.4494949494949494e-05,
"loss": 4.1047,
"mean_token_accuracy": 0.31215064153075217,
"num_tokens": 9562161.0,
"step": 110
},
{
"epoch": 0.6060606060606061,
"grad_norm": 1.956444263458252,
"learning_rate": 1.3989898989898992e-05,
"loss": 4.0634,
"mean_token_accuracy": 0.31729411631822585,
"num_tokens": 10428287.0,
"step": 120
},
{
"epoch": 0.6565656565656566,
"grad_norm": 1.4297130107879639,
"learning_rate": 1.3484848484848486e-05,
"loss": 4.0134,
"mean_token_accuracy": 0.321382661908865,
"num_tokens": 11297263.0,
"step": 130
},
{
"epoch": 0.7070707070707071,
"grad_norm": 0.9279031753540039,
"learning_rate": 1.2979797979797981e-05,
"loss": 3.9757,
"mean_token_accuracy": 0.3249970510601997,
"num_tokens": 12166798.0,
"step": 140
},
{
"epoch": 0.7575757575757576,
"grad_norm": 0.7721190452575684,
"learning_rate": 1.2474747474747475e-05,
"loss": 3.9472,
"mean_token_accuracy": 0.32724879309535027,
"num_tokens": 13039570.0,
"step": 150
},
{
"epoch": 0.8080808080808081,
"grad_norm": 0.8442203402519226,
"learning_rate": 1.1969696969696971e-05,
"loss": 3.9148,
"mean_token_accuracy": 0.3321701854467392,
"num_tokens": 13914152.0,
"step": 160
},
{
"epoch": 0.8585858585858586,
"grad_norm": 2.19596266746521,
"learning_rate": 1.1464646464646465e-05,
"loss": 3.8928,
"mean_token_accuracy": 0.3358906783163548,
"num_tokens": 14784924.0,
"step": 170
},
{
"epoch": 0.9090909090909091,
"grad_norm": 0.7308172583580017,
"learning_rate": 1.0959595959595961e-05,
"loss": 3.8529,
"mean_token_accuracy": 0.33917868658900263,
"num_tokens": 15653435.0,
"step": 180
},
{
"epoch": 0.9595959595959596,
"grad_norm": 0.6991971135139465,
"learning_rate": 1.0454545454545455e-05,
"loss": 3.847,
"mean_token_accuracy": 0.3425107732415199,
"num_tokens": 16520037.0,
"step": 190
},
{
"epoch": 1.0101010101010102,
"grad_norm": 0.6827145218849182,
"learning_rate": 9.94949494949495e-06,
"loss": 3.832,
"mean_token_accuracy": 0.34413780048489573,
"num_tokens": 17380162.0,
"step": 200
},
{
"epoch": 1.0606060606060606,
"grad_norm": 0.7619866132736206,
"learning_rate": 9.444444444444445e-06,
"loss": 3.7904,
"mean_token_accuracy": 0.3476664200425148,
"num_tokens": 18252280.0,
"step": 210
},
{
"epoch": 1.1111111111111112,
"grad_norm": 0.6569390892982483,
"learning_rate": 8.93939393939394e-06,
"loss": 3.7948,
"mean_token_accuracy": 0.3474963568150997,
"num_tokens": 19118807.0,
"step": 220
},
{
"epoch": 1.1616161616161615,
"grad_norm": 1.1422395706176758,
"learning_rate": 8.434343434343434e-06,
"loss": 3.7545,
"mean_token_accuracy": 0.350558465719223,
"num_tokens": 19987183.0,
"step": 230
},
{
"epoch": 1.2121212121212122,
"grad_norm": 0.9118938446044922,
"learning_rate": 7.92929292929293e-06,
"loss": 3.7356,
"mean_token_accuracy": 0.3532609537243843,
"num_tokens": 20864146.0,
"step": 240
},
{
"epoch": 1.2626262626262625,
"grad_norm": 0.830457329750061,
"learning_rate": 7.424242424242425e-06,
"loss": 3.7153,
"mean_token_accuracy": 0.3551630362868309,
"num_tokens": 21719950.0,
"step": 250
},
{
"epoch": 1.3131313131313131,
"grad_norm": 0.735416054725647,
"learning_rate": 6.91919191919192e-06,
"loss": 3.719,
"mean_token_accuracy": 0.35566510185599326,
"num_tokens": 22598888.0,
"step": 260
},
{
"epoch": 1.3636363636363638,
"grad_norm": 0.7242897152900696,
"learning_rate": 6.4141414141414145e-06,
"loss": 3.699,
"mean_token_accuracy": 0.35784361362457273,
"num_tokens": 23475457.0,
"step": 270
},
{
"epoch": 1.4141414141414141,
"grad_norm": 0.876636803150177,
"learning_rate": 5.90909090909091e-06,
"loss": 3.6957,
"mean_token_accuracy": 0.35799761712551115,
"num_tokens": 24343304.0,
"step": 280
},
{
"epoch": 1.4646464646464645,
"grad_norm": 0.7917715907096863,
"learning_rate": 5.404040404040405e-06,
"loss": 3.6889,
"mean_token_accuracy": 0.3586253359913826,
"num_tokens": 25207489.0,
"step": 290
},
{
"epoch": 1.5151515151515151,
"grad_norm": 0.7085571885108948,
"learning_rate": 4.898989898989899e-06,
"loss": 3.668,
"mean_token_accuracy": 0.36179669201374054,
"num_tokens": 26072804.0,
"step": 300
},
{
"epoch": 1.5656565656565657,
"grad_norm": 0.5749636292457581,
"learning_rate": 4.393939393939394e-06,
"loss": 3.657,
"mean_token_accuracy": 0.3627041429281235,
"num_tokens": 26939192.0,
"step": 310
},
{
"epoch": 1.6161616161616161,
"grad_norm": 0.8387623429298401,
"learning_rate": 3.88888888888889e-06,
"loss": 3.668,
"mean_token_accuracy": 0.3618996299803257,
"num_tokens": 27805084.0,
"step": 320
},
{
"epoch": 1.6666666666666665,
"grad_norm": 0.6559562683105469,
"learning_rate": 3.3838383838383844e-06,
"loss": 3.6492,
"mean_token_accuracy": 0.36368392035365105,
"num_tokens": 28676488.0,
"step": 330
},
{
"epoch": 1.7171717171717171,
"grad_norm": 0.6847353577613831,
"learning_rate": 2.8787878787878793e-06,
"loss": 3.6622,
"mean_token_accuracy": 0.3614747479557991,
"num_tokens": 29545994.0,
"step": 340
},
{
"epoch": 1.7676767676767677,
"grad_norm": 0.8682920336723328,
"learning_rate": 2.373737373737374e-06,
"loss": 3.648,
"mean_token_accuracy": 0.36393540278077124,
"num_tokens": 30421682.0,
"step": 350
},
{
"epoch": 1.8181818181818183,
"grad_norm": 0.7822595834732056,
"learning_rate": 1.868686868686869e-06,
"loss": 3.6468,
"mean_token_accuracy": 0.36377949416637423,
"num_tokens": 31290360.0,
"step": 360
},
{
"epoch": 1.8686868686868687,
"grad_norm": 0.6070267558097839,
"learning_rate": 1.3636363636363636e-06,
"loss": 3.6441,
"mean_token_accuracy": 0.3641804397106171,
"num_tokens": 32154120.0,
"step": 370
},
{
"epoch": 1.9191919191919191,
"grad_norm": 0.7802349328994751,
"learning_rate": 8.585858585858587e-07,
"loss": 3.6413,
"mean_token_accuracy": 0.3650804080069065,
"num_tokens": 33021167.0,
"step": 380
},
{
"epoch": 1.9696969696969697,
"grad_norm": 0.5713841319084167,
"learning_rate": 3.535353535353536e-07,
"loss": 3.6402,
"mean_token_accuracy": 0.3654905065894127,
"num_tokens": 33894053.0,
"step": 390
}
],
"logging_steps": 10,
"max_steps": 396,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.6464949686042624e+16,
"train_batch_size": 64,
"trial_name": null,
"trial_params": null
}