adapters-opt-bnb8-QLORA-super_glue-wic / trainer_state-opt-bnb8-QLORA-super_glue-wic-sequence_classification.json
RMHalak's picture
Task: SequenceClassification
c70dd98 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 9.6,
"eval_steps": 1,
"global_step": 120,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.08,
"grad_norm": 15.745562553405762,
"learning_rate": 2.5e-05,
"loss": 0.8605,
"step": 1
},
{
"epoch": 0.08,
"eval_accuracy": 0.484,
"eval_loss": 0.8637617230415344,
"eval_runtime": 2.5683,
"eval_samples_per_second": 97.341,
"eval_steps_per_second": 2.726,
"step": 1
},
{
"epoch": 0.16,
"grad_norm": 19.96647834777832,
"learning_rate": 5e-05,
"loss": 0.9163,
"step": 2
},
{
"epoch": 0.16,
"eval_accuracy": 0.488,
"eval_loss": 0.810189425945282,
"eval_runtime": 2.552,
"eval_samples_per_second": 97.963,
"eval_steps_per_second": 2.743,
"step": 2
},
{
"epoch": 0.24,
"grad_norm": 19.000354766845703,
"learning_rate": 4.957627118644068e-05,
"loss": 0.8681,
"step": 3
},
{
"epoch": 0.24,
"eval_accuracy": 0.516,
"eval_loss": 0.7167539000511169,
"eval_runtime": 2.5526,
"eval_samples_per_second": 97.938,
"eval_steps_per_second": 2.742,
"step": 3
},
{
"epoch": 0.32,
"grad_norm": 4.575774669647217,
"learning_rate": 4.915254237288136e-05,
"loss": 0.6484,
"step": 4
},
{
"epoch": 0.32,
"eval_accuracy": 0.52,
"eval_loss": 0.7121953368186951,
"eval_runtime": 2.5001,
"eval_samples_per_second": 99.994,
"eval_steps_per_second": 2.8,
"step": 4
},
{
"epoch": 0.4,
"grad_norm": 2.526747703552246,
"learning_rate": 4.8728813559322034e-05,
"loss": 0.7006,
"step": 5
},
{
"epoch": 0.4,
"eval_accuracy": 0.516,
"eval_loss": 0.7209541201591492,
"eval_runtime": 2.5542,
"eval_samples_per_second": 97.879,
"eval_steps_per_second": 2.741,
"step": 5
},
{
"epoch": 0.48,
"grad_norm": 2.2623257637023926,
"learning_rate": 4.8305084745762714e-05,
"loss": 0.6587,
"step": 6
},
{
"epoch": 0.48,
"eval_accuracy": 0.516,
"eval_loss": 0.737973153591156,
"eval_runtime": 2.553,
"eval_samples_per_second": 97.925,
"eval_steps_per_second": 2.742,
"step": 6
},
{
"epoch": 0.56,
"grad_norm": 6.5833001136779785,
"learning_rate": 4.788135593220339e-05,
"loss": 0.6634,
"step": 7
},
{
"epoch": 0.56,
"eval_accuracy": 0.516,
"eval_loss": 0.7435795664787292,
"eval_runtime": 2.5637,
"eval_samples_per_second": 97.517,
"eval_steps_per_second": 2.73,
"step": 7
},
{
"epoch": 0.64,
"grad_norm": 11.965208053588867,
"learning_rate": 4.745762711864407e-05,
"loss": 0.7901,
"step": 8
},
{
"epoch": 0.64,
"eval_accuracy": 0.516,
"eval_loss": 0.7358012795448303,
"eval_runtime": 2.5517,
"eval_samples_per_second": 97.974,
"eval_steps_per_second": 2.743,
"step": 8
},
{
"epoch": 0.72,
"grad_norm": 11.749293327331543,
"learning_rate": 4.703389830508475e-05,
"loss": 0.7845,
"step": 9
},
{
"epoch": 0.72,
"eval_accuracy": 0.512,
"eval_loss": 0.7179194092750549,
"eval_runtime": 2.5585,
"eval_samples_per_second": 97.713,
"eval_steps_per_second": 2.736,
"step": 9
},
{
"epoch": 0.8,
"grad_norm": 7.4664130210876465,
"learning_rate": 4.6610169491525425e-05,
"loss": 0.9122,
"step": 10
},
{
"epoch": 0.8,
"eval_accuracy": 0.484,
"eval_loss": 0.6973310708999634,
"eval_runtime": 2.5527,
"eval_samples_per_second": 97.934,
"eval_steps_per_second": 2.742,
"step": 10
},
{
"epoch": 0.88,
"grad_norm": 5.599862098693848,
"learning_rate": 4.6186440677966104e-05,
"loss": 0.7581,
"step": 11
},
{
"epoch": 0.88,
"eval_accuracy": 0.512,
"eval_loss": 0.6890488266944885,
"eval_runtime": 2.5516,
"eval_samples_per_second": 97.976,
"eval_steps_per_second": 2.743,
"step": 11
},
{
"epoch": 0.96,
"grad_norm": 5.2170634269714355,
"learning_rate": 4.5762711864406784e-05,
"loss": 0.6821,
"step": 12
},
{
"epoch": 0.96,
"eval_accuracy": 0.512,
"eval_loss": 0.6933399438858032,
"eval_runtime": 2.5513,
"eval_samples_per_second": 97.991,
"eval_steps_per_second": 2.744,
"step": 12
},
{
"epoch": 1.04,
"grad_norm": 5.609626293182373,
"learning_rate": 4.533898305084746e-05,
"loss": 0.6992,
"step": 13
},
{
"epoch": 1.04,
"eval_accuracy": 0.512,
"eval_loss": 0.7035390734672546,
"eval_runtime": 2.5496,
"eval_samples_per_second": 98.056,
"eval_steps_per_second": 2.746,
"step": 13
},
{
"epoch": 1.12,
"grad_norm": 7.854551792144775,
"learning_rate": 4.491525423728814e-05,
"loss": 0.7384,
"step": 14
},
{
"epoch": 1.12,
"eval_accuracy": 0.516,
"eval_loss": 0.710085928440094,
"eval_runtime": 2.5489,
"eval_samples_per_second": 98.08,
"eval_steps_per_second": 2.746,
"step": 14
},
{
"epoch": 1.2,
"grad_norm": 5.026305198669434,
"learning_rate": 4.4491525423728816e-05,
"loss": 0.7223,
"step": 15
},
{
"epoch": 1.2,
"eval_accuracy": 0.508,
"eval_loss": 0.7157421708106995,
"eval_runtime": 2.5501,
"eval_samples_per_second": 98.036,
"eval_steps_per_second": 2.745,
"step": 15
},
{
"epoch": 1.28,
"grad_norm": 13.441658973693848,
"learning_rate": 4.4067796610169495e-05,
"loss": 0.7687,
"step": 16
},
{
"epoch": 1.28,
"eval_accuracy": 0.508,
"eval_loss": 0.7153124809265137,
"eval_runtime": 2.5486,
"eval_samples_per_second": 98.095,
"eval_steps_per_second": 2.747,
"step": 16
},
{
"epoch": 1.3599999999999999,
"grad_norm": 7.546152591705322,
"learning_rate": 4.3644067796610175e-05,
"loss": 0.7453,
"step": 17
},
{
"epoch": 1.3599999999999999,
"eval_accuracy": 0.512,
"eval_loss": 0.7087851762771606,
"eval_runtime": 2.5485,
"eval_samples_per_second": 98.095,
"eval_steps_per_second": 2.747,
"step": 17
},
{
"epoch": 1.44,
"grad_norm": 3.2455766201019287,
"learning_rate": 4.3220338983050854e-05,
"loss": 0.7231,
"step": 18
},
{
"epoch": 1.44,
"eval_accuracy": 0.512,
"eval_loss": 0.6991875171661377,
"eval_runtime": 2.5539,
"eval_samples_per_second": 97.889,
"eval_steps_per_second": 2.741,
"step": 18
},
{
"epoch": 1.52,
"grad_norm": 8.115966796875,
"learning_rate": 4.279661016949153e-05,
"loss": 0.7162,
"step": 19
},
{
"epoch": 1.52,
"eval_accuracy": 0.516,
"eval_loss": 0.6926875114440918,
"eval_runtime": 2.548,
"eval_samples_per_second": 98.118,
"eval_steps_per_second": 2.747,
"step": 19
},
{
"epoch": 1.6,
"grad_norm": 2.57649564743042,
"learning_rate": 4.2372881355932206e-05,
"loss": 0.6927,
"step": 20
},
{
"epoch": 1.6,
"eval_accuracy": 0.516,
"eval_loss": 0.688406229019165,
"eval_runtime": 2.5496,
"eval_samples_per_second": 98.054,
"eval_steps_per_second": 2.746,
"step": 20
},
{
"epoch": 1.6800000000000002,
"grad_norm": 2.991580009460449,
"learning_rate": 4.1949152542372886e-05,
"loss": 0.7097,
"step": 21
},
{
"epoch": 1.6800000000000002,
"eval_accuracy": 0.536,
"eval_loss": 0.6855859160423279,
"eval_runtime": 2.5522,
"eval_samples_per_second": 97.953,
"eval_steps_per_second": 2.743,
"step": 21
},
{
"epoch": 1.76,
"grad_norm": 2.709691286087036,
"learning_rate": 4.152542372881356e-05,
"loss": 0.6887,
"step": 22
},
{
"epoch": 1.76,
"eval_accuracy": 0.504,
"eval_loss": 0.6868593692779541,
"eval_runtime": 2.5523,
"eval_samples_per_second": 97.95,
"eval_steps_per_second": 2.743,
"step": 22
},
{
"epoch": 1.8399999999999999,
"grad_norm": 5.620818138122559,
"learning_rate": 4.110169491525424e-05,
"loss": 0.6656,
"step": 23
},
{
"epoch": 1.8399999999999999,
"eval_accuracy": 0.48,
"eval_loss": 0.6900019645690918,
"eval_runtime": 2.5504,
"eval_samples_per_second": 98.023,
"eval_steps_per_second": 2.745,
"step": 23
},
{
"epoch": 1.92,
"grad_norm": 12.563273429870605,
"learning_rate": 4.067796610169492e-05,
"loss": 0.7211,
"step": 24
},
{
"epoch": 1.92,
"eval_accuracy": 0.5,
"eval_loss": 0.6927011609077454,
"eval_runtime": 2.5512,
"eval_samples_per_second": 97.994,
"eval_steps_per_second": 2.744,
"step": 24
},
{
"epoch": 2.0,
"grad_norm": 3.7670013904571533,
"learning_rate": 4.025423728813559e-05,
"loss": 0.7575,
"step": 25
},
{
"epoch": 2.0,
"eval_accuracy": 0.496,
"eval_loss": 0.6926933526992798,
"eval_runtime": 2.5561,
"eval_samples_per_second": 97.805,
"eval_steps_per_second": 2.739,
"step": 25
},
{
"epoch": 2.08,
"grad_norm": 4.824467658996582,
"learning_rate": 3.983050847457627e-05,
"loss": 0.7596,
"step": 26
},
{
"epoch": 2.08,
"eval_accuracy": 0.532,
"eval_loss": 0.6877753734588623,
"eval_runtime": 2.5044,
"eval_samples_per_second": 99.823,
"eval_steps_per_second": 2.795,
"step": 26
},
{
"epoch": 2.16,
"grad_norm": 1.8508061170578003,
"learning_rate": 3.940677966101695e-05,
"loss": 0.7391,
"step": 27
},
{
"epoch": 2.16,
"eval_accuracy": 0.5,
"eval_loss": 0.6870742440223694,
"eval_runtime": 2.5639,
"eval_samples_per_second": 97.509,
"eval_steps_per_second": 2.73,
"step": 27
},
{
"epoch": 2.24,
"grad_norm": 3.564190149307251,
"learning_rate": 3.898305084745763e-05,
"loss": 0.6948,
"step": 28
},
{
"epoch": 2.24,
"eval_accuracy": 0.524,
"eval_loss": 0.6858359575271606,
"eval_runtime": 2.5544,
"eval_samples_per_second": 97.87,
"eval_steps_per_second": 2.74,
"step": 28
},
{
"epoch": 2.32,
"grad_norm": 5.474400997161865,
"learning_rate": 3.855932203389831e-05,
"loss": 0.7572,
"step": 29
},
{
"epoch": 2.32,
"eval_accuracy": 0.528,
"eval_loss": 0.6866718530654907,
"eval_runtime": 2.5557,
"eval_samples_per_second": 97.821,
"eval_steps_per_second": 2.739,
"step": 29
},
{
"epoch": 2.4,
"grad_norm": 2.450674533843994,
"learning_rate": 3.813559322033898e-05,
"loss": 0.6643,
"step": 30
},
{
"epoch": 2.4,
"eval_accuracy": 0.52,
"eval_loss": 0.6864023208618164,
"eval_runtime": 2.5543,
"eval_samples_per_second": 97.875,
"eval_steps_per_second": 2.741,
"step": 30
},
{
"epoch": 2.48,
"grad_norm": 3.568068265914917,
"learning_rate": 3.771186440677966e-05,
"loss": 0.7332,
"step": 31
},
{
"epoch": 2.48,
"eval_accuracy": 0.512,
"eval_loss": 0.6899687647819519,
"eval_runtime": 2.5505,
"eval_samples_per_second": 98.019,
"eval_steps_per_second": 2.745,
"step": 31
},
{
"epoch": 2.56,
"grad_norm": 2.2910633087158203,
"learning_rate": 3.728813559322034e-05,
"loss": 0.7119,
"step": 32
},
{
"epoch": 2.56,
"eval_accuracy": 0.508,
"eval_loss": 0.6921640634536743,
"eval_runtime": 2.5545,
"eval_samples_per_second": 97.865,
"eval_steps_per_second": 2.74,
"step": 32
},
{
"epoch": 2.64,
"grad_norm": 2.090604066848755,
"learning_rate": 3.686440677966102e-05,
"loss": 0.7247,
"step": 33
},
{
"epoch": 2.64,
"eval_accuracy": 0.512,
"eval_loss": 0.6914921998977661,
"eval_runtime": 2.5526,
"eval_samples_per_second": 97.939,
"eval_steps_per_second": 2.742,
"step": 33
},
{
"epoch": 2.7199999999999998,
"grad_norm": 6.273575782775879,
"learning_rate": 3.644067796610169e-05,
"loss": 0.7364,
"step": 34
},
{
"epoch": 2.7199999999999998,
"eval_accuracy": 0.508,
"eval_loss": 0.6918437480926514,
"eval_runtime": 2.5551,
"eval_samples_per_second": 97.843,
"eval_steps_per_second": 2.74,
"step": 34
},
{
"epoch": 2.8,
"grad_norm": 6.723451614379883,
"learning_rate": 3.601694915254237e-05,
"loss": 0.6936,
"step": 35
},
{
"epoch": 2.8,
"eval_accuracy": 0.512,
"eval_loss": 0.6923359632492065,
"eval_runtime": 2.5513,
"eval_samples_per_second": 97.991,
"eval_steps_per_second": 2.744,
"step": 35
},
{
"epoch": 2.88,
"grad_norm": 10.801304817199707,
"learning_rate": 3.559322033898305e-05,
"loss": 0.6749,
"step": 36
},
{
"epoch": 2.88,
"eval_accuracy": 0.516,
"eval_loss": 0.6919687390327454,
"eval_runtime": 2.5553,
"eval_samples_per_second": 97.836,
"eval_steps_per_second": 2.739,
"step": 36
},
{
"epoch": 2.96,
"grad_norm": 7.005471229553223,
"learning_rate": 3.516949152542373e-05,
"loss": 0.7283,
"step": 37
},
{
"epoch": 2.96,
"eval_accuracy": 0.528,
"eval_loss": 0.690359354019165,
"eval_runtime": 2.5563,
"eval_samples_per_second": 97.799,
"eval_steps_per_second": 2.738,
"step": 37
},
{
"epoch": 3.04,
"grad_norm": 3.912996530532837,
"learning_rate": 3.474576271186441e-05,
"loss": 0.6633,
"step": 38
},
{
"epoch": 3.04,
"eval_accuracy": 0.524,
"eval_loss": 0.6878437399864197,
"eval_runtime": 2.5515,
"eval_samples_per_second": 97.982,
"eval_steps_per_second": 2.743,
"step": 38
},
{
"epoch": 3.12,
"grad_norm": 3.429208278656006,
"learning_rate": 3.432203389830508e-05,
"loss": 0.705,
"step": 39
},
{
"epoch": 3.12,
"eval_accuracy": 0.52,
"eval_loss": 0.6873710751533508,
"eval_runtime": 2.5571,
"eval_samples_per_second": 97.766,
"eval_steps_per_second": 2.737,
"step": 39
},
{
"epoch": 3.2,
"grad_norm": 3.2059762477874756,
"learning_rate": 3.389830508474576e-05,
"loss": 0.6913,
"step": 40
},
{
"epoch": 3.2,
"eval_accuracy": 0.516,
"eval_loss": 0.689160168170929,
"eval_runtime": 2.5594,
"eval_samples_per_second": 97.681,
"eval_steps_per_second": 2.735,
"step": 40
},
{
"epoch": 3.2800000000000002,
"grad_norm": 1.8953251838684082,
"learning_rate": 3.347457627118644e-05,
"loss": 0.6501,
"step": 41
},
{
"epoch": 3.2800000000000002,
"eval_accuracy": 0.52,
"eval_loss": 0.6878241896629333,
"eval_runtime": 2.5561,
"eval_samples_per_second": 97.806,
"eval_steps_per_second": 2.739,
"step": 41
},
{
"epoch": 3.36,
"grad_norm": 3.3232831954956055,
"learning_rate": 3.305084745762712e-05,
"loss": 0.7278,
"step": 42
},
{
"epoch": 3.36,
"eval_accuracy": 0.52,
"eval_loss": 0.6906406283378601,
"eval_runtime": 2.5543,
"eval_samples_per_second": 97.873,
"eval_steps_per_second": 2.74,
"step": 42
},
{
"epoch": 3.44,
"grad_norm": 7.255284309387207,
"learning_rate": 3.26271186440678e-05,
"loss": 0.6755,
"step": 43
},
{
"epoch": 3.44,
"eval_accuracy": 0.52,
"eval_loss": 0.6893867254257202,
"eval_runtime": 2.5555,
"eval_samples_per_second": 97.827,
"eval_steps_per_second": 2.739,
"step": 43
},
{
"epoch": 3.52,
"grad_norm": 5.801779270172119,
"learning_rate": 3.2203389830508473e-05,
"loss": 0.7261,
"step": 44
},
{
"epoch": 3.52,
"eval_accuracy": 0.52,
"eval_loss": 0.689304769039154,
"eval_runtime": 2.5009,
"eval_samples_per_second": 99.965,
"eval_steps_per_second": 2.799,
"step": 44
},
{
"epoch": 3.6,
"grad_norm": 6.175045967102051,
"learning_rate": 3.177966101694915e-05,
"loss": 0.6614,
"step": 45
},
{
"epoch": 3.6,
"eval_accuracy": 0.52,
"eval_loss": 0.6881933808326721,
"eval_runtime": 2.5565,
"eval_samples_per_second": 97.788,
"eval_steps_per_second": 2.738,
"step": 45
},
{
"epoch": 3.68,
"grad_norm": 7.691817760467529,
"learning_rate": 3.135593220338983e-05,
"loss": 0.7862,
"step": 46
},
{
"epoch": 3.68,
"eval_accuracy": 0.52,
"eval_loss": 0.6858007907867432,
"eval_runtime": 2.556,
"eval_samples_per_second": 97.808,
"eval_steps_per_second": 2.739,
"step": 46
},
{
"epoch": 3.76,
"grad_norm": 7.117946624755859,
"learning_rate": 3.093220338983051e-05,
"loss": 0.6939,
"step": 47
},
{
"epoch": 3.76,
"eval_accuracy": 0.52,
"eval_loss": 0.6848788857460022,
"eval_runtime": 2.5617,
"eval_samples_per_second": 97.593,
"eval_steps_per_second": 2.733,
"step": 47
},
{
"epoch": 3.84,
"grad_norm": 3.879883289337158,
"learning_rate": 3.050847457627119e-05,
"loss": 0.6851,
"step": 48
},
{
"epoch": 3.84,
"eval_accuracy": 0.52,
"eval_loss": 0.6833086013793945,
"eval_runtime": 2.5485,
"eval_samples_per_second": 98.095,
"eval_steps_per_second": 2.747,
"step": 48
},
{
"epoch": 3.92,
"grad_norm": 7.152946949005127,
"learning_rate": 3.0084745762711864e-05,
"loss": 0.7251,
"step": 49
},
{
"epoch": 3.92,
"eval_accuracy": 0.508,
"eval_loss": 0.6816601753234863,
"eval_runtime": 2.5514,
"eval_samples_per_second": 97.984,
"eval_steps_per_second": 2.744,
"step": 49
},
{
"epoch": 4.0,
"grad_norm": 1.905958890914917,
"learning_rate": 2.9661016949152544e-05,
"loss": 0.7008,
"step": 50
},
{
"epoch": 4.0,
"eval_accuracy": 0.508,
"eval_loss": 0.6813437342643738,
"eval_runtime": 2.5476,
"eval_samples_per_second": 98.131,
"eval_steps_per_second": 2.748,
"step": 50
},
{
"epoch": 4.08,
"grad_norm": 3.4690747261047363,
"learning_rate": 2.9237288135593223e-05,
"loss": 0.7161,
"step": 51
},
{
"epoch": 4.08,
"eval_accuracy": 0.52,
"eval_loss": 0.6803905963897705,
"eval_runtime": 2.552,
"eval_samples_per_second": 97.961,
"eval_steps_per_second": 2.743,
"step": 51
},
{
"epoch": 4.16,
"grad_norm": 4.801358699798584,
"learning_rate": 2.88135593220339e-05,
"loss": 0.6932,
"step": 52
},
{
"epoch": 4.16,
"eval_accuracy": 0.512,
"eval_loss": 0.6818437576293945,
"eval_runtime": 2.5499,
"eval_samples_per_second": 98.043,
"eval_steps_per_second": 2.745,
"step": 52
},
{
"epoch": 4.24,
"grad_norm": 11.071053504943848,
"learning_rate": 2.838983050847458e-05,
"loss": 0.6743,
"step": 53
},
{
"epoch": 4.24,
"eval_accuracy": 0.5,
"eval_loss": 0.6845312714576721,
"eval_runtime": 2.552,
"eval_samples_per_second": 97.962,
"eval_steps_per_second": 2.743,
"step": 53
},
{
"epoch": 4.32,
"grad_norm": 2.7743890285491943,
"learning_rate": 2.7966101694915255e-05,
"loss": 0.7102,
"step": 54
},
{
"epoch": 4.32,
"eval_accuracy": 0.5,
"eval_loss": 0.6837421655654907,
"eval_runtime": 2.5501,
"eval_samples_per_second": 98.035,
"eval_steps_per_second": 2.745,
"step": 54
},
{
"epoch": 4.4,
"grad_norm": 4.514011859893799,
"learning_rate": 2.754237288135593e-05,
"loss": 0.7169,
"step": 55
},
{
"epoch": 4.4,
"eval_accuracy": 0.532,
"eval_loss": 0.6851328015327454,
"eval_runtime": 2.4999,
"eval_samples_per_second": 100.005,
"eval_steps_per_second": 2.8,
"step": 55
},
{
"epoch": 4.48,
"grad_norm": 4.223740100860596,
"learning_rate": 2.711864406779661e-05,
"loss": 0.735,
"step": 56
},
{
"epoch": 4.48,
"eval_accuracy": 0.54,
"eval_loss": 0.6856874823570251,
"eval_runtime": 2.501,
"eval_samples_per_second": 99.959,
"eval_steps_per_second": 2.799,
"step": 56
},
{
"epoch": 4.5600000000000005,
"grad_norm": 8.217570304870605,
"learning_rate": 2.669491525423729e-05,
"loss": 0.7155,
"step": 57
},
{
"epoch": 4.5600000000000005,
"eval_accuracy": 0.56,
"eval_loss": 0.686718761920929,
"eval_runtime": 2.455,
"eval_samples_per_second": 101.832,
"eval_steps_per_second": 2.851,
"step": 57
},
{
"epoch": 4.64,
"grad_norm": 7.043219089508057,
"learning_rate": 2.627118644067797e-05,
"loss": 0.696,
"step": 58
},
{
"epoch": 4.64,
"eval_accuracy": 0.536,
"eval_loss": 0.6860937476158142,
"eval_runtime": 2.5524,
"eval_samples_per_second": 97.946,
"eval_steps_per_second": 2.742,
"step": 58
},
{
"epoch": 4.72,
"grad_norm": 5.340857982635498,
"learning_rate": 2.5847457627118642e-05,
"loss": 0.715,
"step": 59
},
{
"epoch": 4.72,
"eval_accuracy": 0.572,
"eval_loss": 0.6860234141349792,
"eval_runtime": 2.5519,
"eval_samples_per_second": 97.968,
"eval_steps_per_second": 2.743,
"step": 59
},
{
"epoch": 4.8,
"grad_norm": 3.935725212097168,
"learning_rate": 2.5423728813559322e-05,
"loss": 0.6934,
"step": 60
},
{
"epoch": 4.8,
"eval_accuracy": 0.532,
"eval_loss": 0.6857656240463257,
"eval_runtime": 2.5599,
"eval_samples_per_second": 97.659,
"eval_steps_per_second": 2.734,
"step": 60
},
{
"epoch": 4.88,
"grad_norm": 5.759483814239502,
"learning_rate": 2.5e-05,
"loss": 0.6659,
"step": 61
},
{
"epoch": 4.88,
"eval_accuracy": 0.54,
"eval_loss": 0.6850937604904175,
"eval_runtime": 2.556,
"eval_samples_per_second": 97.809,
"eval_steps_per_second": 2.739,
"step": 61
},
{
"epoch": 4.96,
"grad_norm": 9.154269218444824,
"learning_rate": 2.457627118644068e-05,
"loss": 0.7122,
"step": 62
},
{
"epoch": 4.96,
"eval_accuracy": 0.54,
"eval_loss": 0.683843731880188,
"eval_runtime": 2.5171,
"eval_samples_per_second": 99.322,
"eval_steps_per_second": 2.781,
"step": 62
},
{
"epoch": 5.04,
"grad_norm": 3.8628180027008057,
"learning_rate": 2.4152542372881357e-05,
"loss": 0.685,
"step": 63
},
{
"epoch": 5.04,
"eval_accuracy": 0.536,
"eval_loss": 0.6826719045639038,
"eval_runtime": 2.5523,
"eval_samples_per_second": 97.95,
"eval_steps_per_second": 2.743,
"step": 63
},
{
"epoch": 5.12,
"grad_norm": 3.074619770050049,
"learning_rate": 2.3728813559322036e-05,
"loss": 0.6702,
"step": 64
},
{
"epoch": 5.12,
"eval_accuracy": 0.54,
"eval_loss": 0.6835703253746033,
"eval_runtime": 2.5526,
"eval_samples_per_second": 97.94,
"eval_steps_per_second": 2.742,
"step": 64
},
{
"epoch": 5.2,
"grad_norm": 3.274127721786499,
"learning_rate": 2.3305084745762712e-05,
"loss": 0.7247,
"step": 65
},
{
"epoch": 5.2,
"eval_accuracy": 0.532,
"eval_loss": 0.6832265853881836,
"eval_runtime": 2.5575,
"eval_samples_per_second": 97.752,
"eval_steps_per_second": 2.737,
"step": 65
},
{
"epoch": 5.28,
"grad_norm": 3.9896106719970703,
"learning_rate": 2.2881355932203392e-05,
"loss": 0.7237,
"step": 66
},
{
"epoch": 5.28,
"eval_accuracy": 0.52,
"eval_loss": 0.683218777179718,
"eval_runtime": 2.5521,
"eval_samples_per_second": 97.959,
"eval_steps_per_second": 2.743,
"step": 66
},
{
"epoch": 5.36,
"grad_norm": 4.6198410987854,
"learning_rate": 2.245762711864407e-05,
"loss": 0.6874,
"step": 67
},
{
"epoch": 5.36,
"eval_accuracy": 0.52,
"eval_loss": 0.6817265748977661,
"eval_runtime": 2.5508,
"eval_samples_per_second": 98.007,
"eval_steps_per_second": 2.744,
"step": 67
},
{
"epoch": 5.44,
"grad_norm": 2.7638332843780518,
"learning_rate": 2.2033898305084748e-05,
"loss": 0.6759,
"step": 68
},
{
"epoch": 5.44,
"eval_accuracy": 0.524,
"eval_loss": 0.6810156106948853,
"eval_runtime": 2.5592,
"eval_samples_per_second": 97.689,
"eval_steps_per_second": 2.735,
"step": 68
},
{
"epoch": 5.52,
"grad_norm": 5.45823860168457,
"learning_rate": 2.1610169491525427e-05,
"loss": 0.6508,
"step": 69
},
{
"epoch": 5.52,
"eval_accuracy": 0.524,
"eval_loss": 0.6822657585144043,
"eval_runtime": 2.5549,
"eval_samples_per_second": 97.85,
"eval_steps_per_second": 2.74,
"step": 69
},
{
"epoch": 5.6,
"grad_norm": 1.344992756843567,
"learning_rate": 2.1186440677966103e-05,
"loss": 0.65,
"step": 70
},
{
"epoch": 5.6,
"eval_accuracy": 0.524,
"eval_loss": 0.6806054711341858,
"eval_runtime": 2.5531,
"eval_samples_per_second": 97.92,
"eval_steps_per_second": 2.742,
"step": 70
},
{
"epoch": 5.68,
"grad_norm": 3.803818941116333,
"learning_rate": 2.076271186440678e-05,
"loss": 0.6818,
"step": 71
},
{
"epoch": 5.68,
"eval_accuracy": 0.524,
"eval_loss": 0.6822031140327454,
"eval_runtime": 2.5599,
"eval_samples_per_second": 97.661,
"eval_steps_per_second": 2.734,
"step": 71
},
{
"epoch": 5.76,
"grad_norm": 3.8192968368530273,
"learning_rate": 2.033898305084746e-05,
"loss": 0.6384,
"step": 72
},
{
"epoch": 5.76,
"eval_accuracy": 0.524,
"eval_loss": 0.6826953887939453,
"eval_runtime": 2.5524,
"eval_samples_per_second": 97.945,
"eval_steps_per_second": 2.742,
"step": 72
},
{
"epoch": 5.84,
"grad_norm": 2.2677340507507324,
"learning_rate": 1.9915254237288135e-05,
"loss": 0.6847,
"step": 73
},
{
"epoch": 5.84,
"eval_accuracy": 0.516,
"eval_loss": 0.6820663809776306,
"eval_runtime": 2.5706,
"eval_samples_per_second": 97.253,
"eval_steps_per_second": 2.723,
"step": 73
},
{
"epoch": 5.92,
"grad_norm": 10.372380256652832,
"learning_rate": 1.9491525423728814e-05,
"loss": 0.7528,
"step": 74
},
{
"epoch": 5.92,
"eval_accuracy": 0.516,
"eval_loss": 0.683914065361023,
"eval_runtime": 2.5522,
"eval_samples_per_second": 97.953,
"eval_steps_per_second": 2.743,
"step": 74
},
{
"epoch": 6.0,
"grad_norm": 2.46616268157959,
"learning_rate": 1.906779661016949e-05,
"loss": 0.6733,
"step": 75
},
{
"epoch": 6.0,
"eval_accuracy": 0.516,
"eval_loss": 0.6828632950782776,
"eval_runtime": 2.5571,
"eval_samples_per_second": 97.766,
"eval_steps_per_second": 2.737,
"step": 75
},
{
"epoch": 6.08,
"grad_norm": 4.386812686920166,
"learning_rate": 1.864406779661017e-05,
"loss": 0.6642,
"step": 76
},
{
"epoch": 6.08,
"eval_accuracy": 0.512,
"eval_loss": 0.6845312714576721,
"eval_runtime": 2.5496,
"eval_samples_per_second": 98.055,
"eval_steps_per_second": 2.746,
"step": 76
},
{
"epoch": 6.16,
"grad_norm": 2.428257703781128,
"learning_rate": 1.8220338983050846e-05,
"loss": 0.669,
"step": 77
},
{
"epoch": 6.16,
"eval_accuracy": 0.516,
"eval_loss": 0.6866054534912109,
"eval_runtime": 2.5556,
"eval_samples_per_second": 97.825,
"eval_steps_per_second": 2.739,
"step": 77
},
{
"epoch": 6.24,
"grad_norm": 3.2233493328094482,
"learning_rate": 1.7796610169491526e-05,
"loss": 0.6525,
"step": 78
},
{
"epoch": 6.24,
"eval_accuracy": 0.52,
"eval_loss": 0.6888242363929749,
"eval_runtime": 2.5518,
"eval_samples_per_second": 97.969,
"eval_steps_per_second": 2.743,
"step": 78
},
{
"epoch": 6.32,
"grad_norm": 4.684359550476074,
"learning_rate": 1.7372881355932205e-05,
"loss": 0.6827,
"step": 79
},
{
"epoch": 6.32,
"eval_accuracy": 0.52,
"eval_loss": 0.6881914138793945,
"eval_runtime": 2.5526,
"eval_samples_per_second": 97.938,
"eval_steps_per_second": 2.742,
"step": 79
},
{
"epoch": 6.4,
"grad_norm": 6.635712623596191,
"learning_rate": 1.694915254237288e-05,
"loss": 0.7138,
"step": 80
},
{
"epoch": 6.4,
"eval_accuracy": 0.52,
"eval_loss": 0.688589870929718,
"eval_runtime": 2.5551,
"eval_samples_per_second": 97.843,
"eval_steps_per_second": 2.74,
"step": 80
},
{
"epoch": 6.48,
"grad_norm": 2.153329610824585,
"learning_rate": 1.652542372881356e-05,
"loss": 0.6533,
"step": 81
},
{
"epoch": 6.48,
"eval_accuracy": 0.52,
"eval_loss": 0.6895253658294678,
"eval_runtime": 2.5548,
"eval_samples_per_second": 97.856,
"eval_steps_per_second": 2.74,
"step": 81
},
{
"epoch": 6.5600000000000005,
"grad_norm": 8.309370994567871,
"learning_rate": 1.6101694915254237e-05,
"loss": 0.7126,
"step": 82
},
{
"epoch": 6.5600000000000005,
"eval_accuracy": 0.52,
"eval_loss": 0.6872695088386536,
"eval_runtime": 2.5551,
"eval_samples_per_second": 97.844,
"eval_steps_per_second": 2.74,
"step": 82
},
{
"epoch": 6.64,
"grad_norm": 7.506027698516846,
"learning_rate": 1.5677966101694916e-05,
"loss": 0.7333,
"step": 83
},
{
"epoch": 6.64,
"eval_accuracy": 0.52,
"eval_loss": 0.6848945021629333,
"eval_runtime": 2.5576,
"eval_samples_per_second": 97.75,
"eval_steps_per_second": 2.737,
"step": 83
},
{
"epoch": 6.72,
"grad_norm": 2.9009928703308105,
"learning_rate": 1.5254237288135596e-05,
"loss": 0.6469,
"step": 84
},
{
"epoch": 6.72,
"eval_accuracy": 0.52,
"eval_loss": 0.6854609251022339,
"eval_runtime": 2.5528,
"eval_samples_per_second": 97.93,
"eval_steps_per_second": 2.742,
"step": 84
},
{
"epoch": 6.8,
"grad_norm": 5.017767429351807,
"learning_rate": 1.4830508474576272e-05,
"loss": 0.7521,
"step": 85
},
{
"epoch": 6.8,
"eval_accuracy": 0.52,
"eval_loss": 0.6840038895606995,
"eval_runtime": 2.5591,
"eval_samples_per_second": 97.691,
"eval_steps_per_second": 2.735,
"step": 85
},
{
"epoch": 6.88,
"grad_norm": 2.006927013397217,
"learning_rate": 1.440677966101695e-05,
"loss": 0.6516,
"step": 86
},
{
"epoch": 6.88,
"eval_accuracy": 0.52,
"eval_loss": 0.6825664043426514,
"eval_runtime": 2.5642,
"eval_samples_per_second": 97.496,
"eval_steps_per_second": 2.73,
"step": 86
},
{
"epoch": 6.96,
"grad_norm": 5.504487037658691,
"learning_rate": 1.3983050847457627e-05,
"loss": 0.7072,
"step": 87
},
{
"epoch": 6.96,
"eval_accuracy": 0.516,
"eval_loss": 0.6815390586853027,
"eval_runtime": 2.5618,
"eval_samples_per_second": 97.588,
"eval_steps_per_second": 2.732,
"step": 87
},
{
"epoch": 7.04,
"grad_norm": 3.175321578979492,
"learning_rate": 1.3559322033898305e-05,
"loss": 0.6543,
"step": 88
},
{
"epoch": 7.04,
"eval_accuracy": 0.52,
"eval_loss": 0.6796953082084656,
"eval_runtime": 2.5612,
"eval_samples_per_second": 97.61,
"eval_steps_per_second": 2.733,
"step": 88
},
{
"epoch": 7.12,
"grad_norm": 9.99293327331543,
"learning_rate": 1.3135593220338985e-05,
"loss": 0.7078,
"step": 89
},
{
"epoch": 7.12,
"eval_accuracy": 0.524,
"eval_loss": 0.6775000691413879,
"eval_runtime": 2.5598,
"eval_samples_per_second": 97.663,
"eval_steps_per_second": 2.735,
"step": 89
},
{
"epoch": 7.2,
"grad_norm": 6.317586421966553,
"learning_rate": 1.2711864406779661e-05,
"loss": 0.7115,
"step": 90
},
{
"epoch": 7.2,
"eval_accuracy": 0.528,
"eval_loss": 0.6765468716621399,
"eval_runtime": 2.5596,
"eval_samples_per_second": 97.67,
"eval_steps_per_second": 2.735,
"step": 90
},
{
"epoch": 7.28,
"grad_norm": 6.010474681854248,
"learning_rate": 1.228813559322034e-05,
"loss": 0.6348,
"step": 91
},
{
"epoch": 7.28,
"eval_accuracy": 0.532,
"eval_loss": 0.6753984093666077,
"eval_runtime": 2.5578,
"eval_samples_per_second": 97.741,
"eval_steps_per_second": 2.737,
"step": 91
},
{
"epoch": 7.36,
"grad_norm": 1.554281234741211,
"learning_rate": 1.1864406779661018e-05,
"loss": 0.6907,
"step": 92
},
{
"epoch": 7.36,
"eval_accuracy": 0.552,
"eval_loss": 0.6742578148841858,
"eval_runtime": 2.5536,
"eval_samples_per_second": 97.901,
"eval_steps_per_second": 2.741,
"step": 92
},
{
"epoch": 7.44,
"grad_norm": 2.691506862640381,
"learning_rate": 1.1440677966101696e-05,
"loss": 0.6474,
"step": 93
},
{
"epoch": 7.44,
"eval_accuracy": 0.532,
"eval_loss": 0.6753789186477661,
"eval_runtime": 2.5576,
"eval_samples_per_second": 97.747,
"eval_steps_per_second": 2.737,
"step": 93
},
{
"epoch": 7.52,
"grad_norm": 3.9982895851135254,
"learning_rate": 1.1016949152542374e-05,
"loss": 0.6816,
"step": 94
},
{
"epoch": 7.52,
"eval_accuracy": 0.536,
"eval_loss": 0.6741992235183716,
"eval_runtime": 2.5538,
"eval_samples_per_second": 97.894,
"eval_steps_per_second": 2.741,
"step": 94
},
{
"epoch": 7.6,
"grad_norm": 4.3524274826049805,
"learning_rate": 1.0593220338983052e-05,
"loss": 0.6974,
"step": 95
},
{
"epoch": 7.6,
"eval_accuracy": 0.544,
"eval_loss": 0.6741132736206055,
"eval_runtime": 2.5546,
"eval_samples_per_second": 97.862,
"eval_steps_per_second": 2.74,
"step": 95
},
{
"epoch": 7.68,
"grad_norm": 2.858217477798462,
"learning_rate": 1.016949152542373e-05,
"loss": 0.7131,
"step": 96
},
{
"epoch": 7.68,
"eval_accuracy": 0.556,
"eval_loss": 0.6736015677452087,
"eval_runtime": 2.5522,
"eval_samples_per_second": 97.955,
"eval_steps_per_second": 2.743,
"step": 96
},
{
"epoch": 7.76,
"grad_norm": 5.655324459075928,
"learning_rate": 9.745762711864407e-06,
"loss": 0.639,
"step": 97
},
{
"epoch": 7.76,
"eval_accuracy": 0.56,
"eval_loss": 0.6730742454528809,
"eval_runtime": 2.559,
"eval_samples_per_second": 97.694,
"eval_steps_per_second": 2.735,
"step": 97
},
{
"epoch": 7.84,
"grad_norm": 11.034967422485352,
"learning_rate": 9.322033898305085e-06,
"loss": 0.6931,
"step": 98
},
{
"epoch": 7.84,
"eval_accuracy": 0.552,
"eval_loss": 0.6729413866996765,
"eval_runtime": 2.5511,
"eval_samples_per_second": 97.998,
"eval_steps_per_second": 2.744,
"step": 98
},
{
"epoch": 7.92,
"grad_norm": 4.288939476013184,
"learning_rate": 8.898305084745763e-06,
"loss": 0.7052,
"step": 99
},
{
"epoch": 7.92,
"eval_accuracy": 0.536,
"eval_loss": 0.6727031469345093,
"eval_runtime": 2.5507,
"eval_samples_per_second": 98.012,
"eval_steps_per_second": 2.744,
"step": 99
},
{
"epoch": 8.0,
"grad_norm": 7.271831035614014,
"learning_rate": 8.47457627118644e-06,
"loss": 0.6804,
"step": 100
},
{
"epoch": 8.0,
"eval_accuracy": 0.532,
"eval_loss": 0.6717929840087891,
"eval_runtime": 2.5062,
"eval_samples_per_second": 99.751,
"eval_steps_per_second": 2.793,
"step": 100
},
{
"epoch": 8.08,
"grad_norm": 3.726989269256592,
"learning_rate": 8.050847457627118e-06,
"loss": 0.6751,
"step": 101
},
{
"epoch": 8.08,
"eval_accuracy": 0.536,
"eval_loss": 0.6729882955551147,
"eval_runtime": 2.552,
"eval_samples_per_second": 97.962,
"eval_steps_per_second": 2.743,
"step": 101
},
{
"epoch": 8.16,
"grad_norm": 3.427084445953369,
"learning_rate": 7.627118644067798e-06,
"loss": 0.6867,
"step": 102
},
{
"epoch": 8.16,
"eval_accuracy": 0.536,
"eval_loss": 0.6727109551429749,
"eval_runtime": 2.5498,
"eval_samples_per_second": 98.046,
"eval_steps_per_second": 2.745,
"step": 102
},
{
"epoch": 8.24,
"grad_norm": 7.673038005828857,
"learning_rate": 7.203389830508475e-06,
"loss": 0.6712,
"step": 103
},
{
"epoch": 8.24,
"eval_accuracy": 0.548,
"eval_loss": 0.6731953024864197,
"eval_runtime": 2.564,
"eval_samples_per_second": 97.503,
"eval_steps_per_second": 2.73,
"step": 103
},
{
"epoch": 8.32,
"grad_norm": 4.261835098266602,
"learning_rate": 6.779661016949153e-06,
"loss": 0.7308,
"step": 104
},
{
"epoch": 8.32,
"eval_accuracy": 0.556,
"eval_loss": 0.6727851629257202,
"eval_runtime": 2.5486,
"eval_samples_per_second": 98.091,
"eval_steps_per_second": 2.747,
"step": 104
},
{
"epoch": 8.4,
"grad_norm": 4.702732086181641,
"learning_rate": 6.3559322033898304e-06,
"loss": 0.7019,
"step": 105
},
{
"epoch": 8.4,
"eval_accuracy": 0.532,
"eval_loss": 0.6733944416046143,
"eval_runtime": 2.5543,
"eval_samples_per_second": 97.876,
"eval_steps_per_second": 2.741,
"step": 105
},
{
"epoch": 8.48,
"grad_norm": 1.8300518989562988,
"learning_rate": 5.932203389830509e-06,
"loss": 0.6733,
"step": 106
},
{
"epoch": 8.48,
"eval_accuracy": 0.528,
"eval_loss": 0.6754140853881836,
"eval_runtime": 2.5508,
"eval_samples_per_second": 98.009,
"eval_steps_per_second": 2.744,
"step": 106
},
{
"epoch": 8.56,
"grad_norm": 4.873719692230225,
"learning_rate": 5.508474576271187e-06,
"loss": 0.6503,
"step": 107
},
{
"epoch": 8.56,
"eval_accuracy": 0.528,
"eval_loss": 0.6744531393051147,
"eval_runtime": 2.5498,
"eval_samples_per_second": 98.045,
"eval_steps_per_second": 2.745,
"step": 107
},
{
"epoch": 8.64,
"grad_norm": 2.1070873737335205,
"learning_rate": 5.084745762711865e-06,
"loss": 0.6976,
"step": 108
},
{
"epoch": 8.64,
"eval_accuracy": 0.52,
"eval_loss": 0.6756640672683716,
"eval_runtime": 2.5509,
"eval_samples_per_second": 98.005,
"eval_steps_per_second": 2.744,
"step": 108
},
{
"epoch": 8.72,
"grad_norm": 1.433050513267517,
"learning_rate": 4.6610169491525425e-06,
"loss": 0.6447,
"step": 109
},
{
"epoch": 8.72,
"eval_accuracy": 0.528,
"eval_loss": 0.6764531135559082,
"eval_runtime": 2.5599,
"eval_samples_per_second": 97.66,
"eval_steps_per_second": 2.734,
"step": 109
},
{
"epoch": 8.8,
"grad_norm": 2.937915086746216,
"learning_rate": 4.23728813559322e-06,
"loss": 0.6964,
"step": 110
},
{
"epoch": 8.8,
"eval_accuracy": 0.516,
"eval_loss": 0.6768437623977661,
"eval_runtime": 2.5495,
"eval_samples_per_second": 98.058,
"eval_steps_per_second": 2.746,
"step": 110
},
{
"epoch": 8.88,
"grad_norm": 1.9771907329559326,
"learning_rate": 3.813559322033899e-06,
"loss": 0.6625,
"step": 111
},
{
"epoch": 8.88,
"eval_accuracy": 0.52,
"eval_loss": 0.677441418170929,
"eval_runtime": 2.5474,
"eval_samples_per_second": 98.139,
"eval_steps_per_second": 2.748,
"step": 111
},
{
"epoch": 8.96,
"grad_norm": 8.43002986907959,
"learning_rate": 3.3898305084745763e-06,
"loss": 0.7092,
"step": 112
},
{
"epoch": 8.96,
"eval_accuracy": 0.52,
"eval_loss": 0.6763046979904175,
"eval_runtime": 2.5006,
"eval_samples_per_second": 99.975,
"eval_steps_per_second": 2.799,
"step": 112
},
{
"epoch": 9.04,
"grad_norm": 16.455059051513672,
"learning_rate": 2.9661016949152545e-06,
"loss": 0.6859,
"step": 113
},
{
"epoch": 9.04,
"eval_accuracy": 0.524,
"eval_loss": 0.6773906350135803,
"eval_runtime": 2.5491,
"eval_samples_per_second": 98.075,
"eval_steps_per_second": 2.746,
"step": 113
},
{
"epoch": 9.12,
"grad_norm": 3.359854221343994,
"learning_rate": 2.5423728813559323e-06,
"loss": 0.6657,
"step": 114
},
{
"epoch": 9.12,
"eval_accuracy": 0.524,
"eval_loss": 0.6762812733650208,
"eval_runtime": 2.5524,
"eval_samples_per_second": 97.946,
"eval_steps_per_second": 2.742,
"step": 114
},
{
"epoch": 9.2,
"grad_norm": 3.9168431758880615,
"learning_rate": 2.11864406779661e-06,
"loss": 0.6546,
"step": 115
},
{
"epoch": 9.2,
"eval_accuracy": 0.52,
"eval_loss": 0.6755898594856262,
"eval_runtime": 2.5568,
"eval_samples_per_second": 97.78,
"eval_steps_per_second": 2.738,
"step": 115
},
{
"epoch": 9.28,
"grad_norm": 3.361232280731201,
"learning_rate": 1.6949152542372882e-06,
"loss": 0.7128,
"step": 116
},
{
"epoch": 9.28,
"eval_accuracy": 0.516,
"eval_loss": 0.6770547032356262,
"eval_runtime": 2.5602,
"eval_samples_per_second": 97.649,
"eval_steps_per_second": 2.734,
"step": 116
},
{
"epoch": 9.36,
"grad_norm": 2.9631147384643555,
"learning_rate": 1.2711864406779662e-06,
"loss": 0.6779,
"step": 117
},
{
"epoch": 9.36,
"eval_accuracy": 0.528,
"eval_loss": 0.6765038967132568,
"eval_runtime": 2.5606,
"eval_samples_per_second": 97.633,
"eval_steps_per_second": 2.734,
"step": 117
},
{
"epoch": 9.44,
"grad_norm": 4.792584419250488,
"learning_rate": 8.474576271186441e-07,
"loss": 0.6241,
"step": 118
},
{
"epoch": 9.44,
"eval_accuracy": 0.516,
"eval_loss": 0.6751171946525574,
"eval_runtime": 2.5493,
"eval_samples_per_second": 98.066,
"eval_steps_per_second": 2.746,
"step": 118
},
{
"epoch": 9.52,
"grad_norm": 5.438122749328613,
"learning_rate": 4.2372881355932204e-07,
"loss": 0.6748,
"step": 119
},
{
"epoch": 9.52,
"eval_accuracy": 0.516,
"eval_loss": 0.6753047108650208,
"eval_runtime": 2.5608,
"eval_samples_per_second": 97.624,
"eval_steps_per_second": 2.733,
"step": 119
},
{
"epoch": 9.6,
"grad_norm": 2.0531022548675537,
"learning_rate": 0.0,
"loss": 0.6738,
"step": 120
},
{
"epoch": 9.6,
"eval_accuracy": 0.524,
"eval_loss": 0.6763242483139038,
"eval_runtime": 2.5002,
"eval_samples_per_second": 99.994,
"eval_steps_per_second": 2.8,
"step": 120
},
{
"epoch": 9.6,
"step": 120,
"total_flos": 2.3370919602814976e+16,
"train_loss": 0.7025685042142868,
"train_runtime": 671.5636,
"train_samples_per_second": 14.891,
"train_steps_per_second": 0.179
}
],
"logging_steps": 1,
"max_steps": 120,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 2.3370919602814976e+16,
"train_batch_size": 10,
"trial_name": null,
"trial_params": null
}