1507 lines
35 KiB
JSON
1507 lines
35 KiB
JSON
{
|
|
"best_metric": 0.5939880609512329,
|
|
"best_model_checkpoint": "/mnt/data1/sheshuaijie/Output/CoT/Trained/vicuna-13b_english-cot+auto-cot_0.0002/lora/checkpoint-1036",
|
|
"epoch": 6.835463917525773,
|
|
"global_step": 1036,
|
|
"is_hyper_param_search": false,
|
|
"is_local_process_zero": true,
|
|
"is_world_process_zero": true,
|
|
"log_history": [
|
|
{
|
|
"epoch": 0.05,
|
|
"eval_loss": 1.7208857536315918,
|
|
"eval_runtime": 39.046,
|
|
"eval_samples_per_second": 76.832,
|
|
"eval_steps_per_second": 2.407,
|
|
"step": 7
|
|
},
|
|
{
|
|
"epoch": 0.09,
|
|
"eval_loss": 1.3302656412124634,
|
|
"eval_runtime": 39.1446,
|
|
"eval_samples_per_second": 76.639,
|
|
"eval_steps_per_second": 2.401,
|
|
"step": 14
|
|
},
|
|
{
|
|
"epoch": 0.13,
|
|
"learning_rate": 0.00019933110367892977,
|
|
"loss": 1.607,
|
|
"step": 20
|
|
},
|
|
{
|
|
"epoch": 0.14,
|
|
"eval_loss": 1.0993696451187134,
|
|
"eval_runtime": 39.2624,
|
|
"eval_samples_per_second": 76.409,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 21
|
|
},
|
|
{
|
|
"epoch": 0.18,
|
|
"eval_loss": 0.9883869886398315,
|
|
"eval_runtime": 39.2607,
|
|
"eval_samples_per_second": 76.412,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 28
|
|
},
|
|
{
|
|
"epoch": 0.23,
|
|
"eval_loss": 0.9121341109275818,
|
|
"eval_runtime": 39.2818,
|
|
"eval_samples_per_second": 76.371,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 35
|
|
},
|
|
{
|
|
"epoch": 0.26,
|
|
"learning_rate": 0.00019665551839464883,
|
|
"loss": 1.0077,
|
|
"step": 40
|
|
},
|
|
{
|
|
"epoch": 0.28,
|
|
"eval_loss": 0.8665392398834229,
|
|
"eval_runtime": 39.261,
|
|
"eval_samples_per_second": 76.412,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 42
|
|
},
|
|
{
|
|
"epoch": 0.32,
|
|
"eval_loss": 0.8299428820610046,
|
|
"eval_runtime": 39.2723,
|
|
"eval_samples_per_second": 76.39,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 49
|
|
},
|
|
{
|
|
"epoch": 0.37,
|
|
"eval_loss": 0.7965301275253296,
|
|
"eval_runtime": 39.2718,
|
|
"eval_samples_per_second": 76.391,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 56
|
|
},
|
|
{
|
|
"epoch": 0.4,
|
|
"learning_rate": 0.0001939799331103679,
|
|
"loss": 0.8626,
|
|
"step": 60
|
|
},
|
|
{
|
|
"epoch": 0.42,
|
|
"eval_loss": 0.7661889791488647,
|
|
"eval_runtime": 39.2752,
|
|
"eval_samples_per_second": 76.384,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 63
|
|
},
|
|
{
|
|
"epoch": 0.46,
|
|
"eval_loss": 0.744417130947113,
|
|
"eval_runtime": 39.2899,
|
|
"eval_samples_per_second": 76.355,
|
|
"eval_steps_per_second": 2.392,
|
|
"step": 70
|
|
},
|
|
{
|
|
"epoch": 0.51,
|
|
"eval_loss": 0.728394627571106,
|
|
"eval_runtime": 39.298,
|
|
"eval_samples_per_second": 76.34,
|
|
"eval_steps_per_second": 2.392,
|
|
"step": 77
|
|
},
|
|
{
|
|
"epoch": 0.53,
|
|
"learning_rate": 0.00019130434782608697,
|
|
"loss": 0.7683,
|
|
"step": 80
|
|
},
|
|
{
|
|
"epoch": 0.55,
|
|
"eval_loss": 0.7151542901992798,
|
|
"eval_runtime": 39.272,
|
|
"eval_samples_per_second": 76.39,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 84
|
|
},
|
|
{
|
|
"epoch": 0.6,
|
|
"eval_loss": 0.7049417495727539,
|
|
"eval_runtime": 39.2657,
|
|
"eval_samples_per_second": 76.403,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 91
|
|
},
|
|
{
|
|
"epoch": 0.65,
|
|
"eval_loss": 0.6961150765419006,
|
|
"eval_runtime": 39.2274,
|
|
"eval_samples_per_second": 76.477,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 98
|
|
},
|
|
{
|
|
"epoch": 0.66,
|
|
"learning_rate": 0.00018862876254180605,
|
|
"loss": 0.7346,
|
|
"step": 100
|
|
},
|
|
{
|
|
"epoch": 0.69,
|
|
"eval_loss": 0.6891586780548096,
|
|
"eval_runtime": 39.2698,
|
|
"eval_samples_per_second": 76.395,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 105
|
|
},
|
|
{
|
|
"epoch": 0.74,
|
|
"eval_loss": 0.6833620667457581,
|
|
"eval_runtime": 39.2474,
|
|
"eval_samples_per_second": 76.438,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 112
|
|
},
|
|
{
|
|
"epoch": 0.79,
|
|
"eval_loss": 0.678981602191925,
|
|
"eval_runtime": 39.2363,
|
|
"eval_samples_per_second": 76.46,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 119
|
|
},
|
|
{
|
|
"epoch": 0.79,
|
|
"learning_rate": 0.0001859531772575251,
|
|
"loss": 0.7095,
|
|
"step": 120
|
|
},
|
|
{
|
|
"epoch": 0.83,
|
|
"eval_loss": 0.6739740967750549,
|
|
"eval_runtime": 39.2467,
|
|
"eval_samples_per_second": 76.439,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 126
|
|
},
|
|
{
|
|
"epoch": 0.88,
|
|
"eval_loss": 0.6704814434051514,
|
|
"eval_runtime": 39.2828,
|
|
"eval_samples_per_second": 76.369,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 133
|
|
},
|
|
{
|
|
"epoch": 0.92,
|
|
"learning_rate": 0.00018327759197324413,
|
|
"loss": 0.6989,
|
|
"step": 140
|
|
},
|
|
{
|
|
"epoch": 0.92,
|
|
"eval_loss": 0.6668062210083008,
|
|
"eval_runtime": 39.1861,
|
|
"eval_samples_per_second": 76.558,
|
|
"eval_steps_per_second": 2.399,
|
|
"step": 140
|
|
},
|
|
{
|
|
"epoch": 0.97,
|
|
"eval_loss": 0.6635003089904785,
|
|
"eval_runtime": 39.2627,
|
|
"eval_samples_per_second": 76.408,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 147
|
|
},
|
|
{
|
|
"epoch": 1.02,
|
|
"eval_loss": 0.6594184637069702,
|
|
"eval_runtime": 39.2634,
|
|
"eval_samples_per_second": 76.407,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 154
|
|
},
|
|
{
|
|
"epoch": 1.06,
|
|
"learning_rate": 0.00018060200668896322,
|
|
"loss": 0.6753,
|
|
"step": 160
|
|
},
|
|
{
|
|
"epoch": 1.06,
|
|
"eval_loss": 0.656818151473999,
|
|
"eval_runtime": 39.2093,
|
|
"eval_samples_per_second": 76.513,
|
|
"eval_steps_per_second": 2.397,
|
|
"step": 161
|
|
},
|
|
{
|
|
"epoch": 1.11,
|
|
"eval_loss": 0.6542237401008606,
|
|
"eval_runtime": 39.2619,
|
|
"eval_samples_per_second": 76.41,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 168
|
|
},
|
|
{
|
|
"epoch": 1.15,
|
|
"eval_loss": 0.6509793400764465,
|
|
"eval_runtime": 39.2795,
|
|
"eval_samples_per_second": 76.376,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 175
|
|
},
|
|
{
|
|
"epoch": 1.19,
|
|
"learning_rate": 0.00017792642140468227,
|
|
"loss": 0.6742,
|
|
"step": 180
|
|
},
|
|
{
|
|
"epoch": 1.2,
|
|
"eval_loss": 0.6501123905181885,
|
|
"eval_runtime": 39.2889,
|
|
"eval_samples_per_second": 76.357,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 182
|
|
},
|
|
{
|
|
"epoch": 1.25,
|
|
"eval_loss": 0.6488311290740967,
|
|
"eval_runtime": 39.2821,
|
|
"eval_samples_per_second": 76.371,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 189
|
|
},
|
|
{
|
|
"epoch": 1.29,
|
|
"eval_loss": 0.6458473205566406,
|
|
"eval_runtime": 39.2749,
|
|
"eval_samples_per_second": 76.385,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 196
|
|
},
|
|
{
|
|
"epoch": 1.32,
|
|
"learning_rate": 0.00017525083612040135,
|
|
"loss": 0.6727,
|
|
"step": 200
|
|
},
|
|
{
|
|
"epoch": 1.34,
|
|
"eval_loss": 0.6445983648300171,
|
|
"eval_runtime": 39.2655,
|
|
"eval_samples_per_second": 76.403,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 203
|
|
},
|
|
{
|
|
"epoch": 1.39,
|
|
"eval_loss": 0.6414983868598938,
|
|
"eval_runtime": 39.2575,
|
|
"eval_samples_per_second": 76.418,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 210
|
|
},
|
|
{
|
|
"epoch": 1.43,
|
|
"eval_loss": 0.6403743624687195,
|
|
"eval_runtime": 39.2601,
|
|
"eval_samples_per_second": 76.413,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 217
|
|
},
|
|
{
|
|
"epoch": 1.45,
|
|
"learning_rate": 0.0001725752508361204,
|
|
"loss": 0.6651,
|
|
"step": 220
|
|
},
|
|
{
|
|
"epoch": 1.48,
|
|
"eval_loss": 0.6375772953033447,
|
|
"eval_runtime": 39.2616,
|
|
"eval_samples_per_second": 76.411,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 224
|
|
},
|
|
{
|
|
"epoch": 1.52,
|
|
"eval_loss": 0.6363030076026917,
|
|
"eval_runtime": 39.2685,
|
|
"eval_samples_per_second": 76.397,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 231
|
|
},
|
|
{
|
|
"epoch": 1.57,
|
|
"eval_loss": 0.6365154981613159,
|
|
"eval_runtime": 39.2615,
|
|
"eval_samples_per_second": 76.411,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 238
|
|
},
|
|
{
|
|
"epoch": 1.58,
|
|
"learning_rate": 0.00016989966555183946,
|
|
"loss": 0.6569,
|
|
"step": 240
|
|
},
|
|
{
|
|
"epoch": 1.62,
|
|
"eval_loss": 0.6351213455200195,
|
|
"eval_runtime": 39.2374,
|
|
"eval_samples_per_second": 76.458,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 245
|
|
},
|
|
{
|
|
"epoch": 1.66,
|
|
"eval_loss": 0.633696436882019,
|
|
"eval_runtime": 39.2576,
|
|
"eval_samples_per_second": 76.418,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 252
|
|
},
|
|
{
|
|
"epoch": 1.71,
|
|
"eval_loss": 0.6320024132728577,
|
|
"eval_runtime": 39.2456,
|
|
"eval_samples_per_second": 76.442,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 259
|
|
},
|
|
{
|
|
"epoch": 1.72,
|
|
"learning_rate": 0.00016722408026755855,
|
|
"loss": 0.6535,
|
|
"step": 260
|
|
},
|
|
{
|
|
"epoch": 1.76,
|
|
"eval_loss": 0.6302981972694397,
|
|
"eval_runtime": 39.2723,
|
|
"eval_samples_per_second": 76.39,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 266
|
|
},
|
|
{
|
|
"epoch": 1.8,
|
|
"eval_loss": 0.6285908818244934,
|
|
"eval_runtime": 39.2745,
|
|
"eval_samples_per_second": 76.385,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 273
|
|
},
|
|
{
|
|
"epoch": 1.85,
|
|
"learning_rate": 0.0001645484949832776,
|
|
"loss": 0.6504,
|
|
"step": 280
|
|
},
|
|
{
|
|
"epoch": 1.85,
|
|
"eval_loss": 0.6279519200325012,
|
|
"eval_runtime": 39.1978,
|
|
"eval_samples_per_second": 76.535,
|
|
"eval_steps_per_second": 2.398,
|
|
"step": 280
|
|
},
|
|
{
|
|
"epoch": 1.89,
|
|
"eval_loss": 0.6275761723518372,
|
|
"eval_runtime": 39.2574,
|
|
"eval_samples_per_second": 76.419,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 287
|
|
},
|
|
{
|
|
"epoch": 1.94,
|
|
"eval_loss": 0.6262693405151367,
|
|
"eval_runtime": 39.2587,
|
|
"eval_samples_per_second": 76.416,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 294
|
|
},
|
|
{
|
|
"epoch": 1.98,
|
|
"learning_rate": 0.00016187290969899666,
|
|
"loss": 0.6447,
|
|
"step": 300
|
|
},
|
|
{
|
|
"epoch": 1.99,
|
|
"eval_loss": 0.6255723237991333,
|
|
"eval_runtime": 39.2593,
|
|
"eval_samples_per_second": 76.415,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 301
|
|
},
|
|
{
|
|
"epoch": 2.03,
|
|
"eval_loss": 0.624893307685852,
|
|
"eval_runtime": 39.2732,
|
|
"eval_samples_per_second": 76.388,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 308
|
|
},
|
|
{
|
|
"epoch": 2.08,
|
|
"eval_loss": 0.6238787174224854,
|
|
"eval_runtime": 39.2648,
|
|
"eval_samples_per_second": 76.404,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 315
|
|
},
|
|
{
|
|
"epoch": 2.11,
|
|
"learning_rate": 0.00015919732441471574,
|
|
"loss": 0.6418,
|
|
"step": 320
|
|
},
|
|
{
|
|
"epoch": 2.12,
|
|
"eval_loss": 0.6227560043334961,
|
|
"eval_runtime": 39.2517,
|
|
"eval_samples_per_second": 76.43,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 322
|
|
},
|
|
{
|
|
"epoch": 2.17,
|
|
"eval_loss": 0.621408998966217,
|
|
"eval_runtime": 39.2673,
|
|
"eval_samples_per_second": 76.4,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 329
|
|
},
|
|
{
|
|
"epoch": 2.22,
|
|
"eval_loss": 0.6207154989242554,
|
|
"eval_runtime": 39.2707,
|
|
"eval_samples_per_second": 76.393,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 336
|
|
},
|
|
{
|
|
"epoch": 2.24,
|
|
"learning_rate": 0.0001565217391304348,
|
|
"loss": 0.6294,
|
|
"step": 340
|
|
},
|
|
{
|
|
"epoch": 2.26,
|
|
"eval_loss": 0.6207785606384277,
|
|
"eval_runtime": 39.2687,
|
|
"eval_samples_per_second": 76.397,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 343
|
|
},
|
|
{
|
|
"epoch": 2.31,
|
|
"eval_loss": 0.619699239730835,
|
|
"eval_runtime": 39.2528,
|
|
"eval_samples_per_second": 76.428,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 350
|
|
},
|
|
{
|
|
"epoch": 2.36,
|
|
"eval_loss": 0.6189907789230347,
|
|
"eval_runtime": 39.2383,
|
|
"eval_samples_per_second": 76.456,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 357
|
|
},
|
|
{
|
|
"epoch": 2.38,
|
|
"learning_rate": 0.00015384615384615385,
|
|
"loss": 0.6323,
|
|
"step": 360
|
|
},
|
|
{
|
|
"epoch": 2.4,
|
|
"eval_loss": 0.6188793182373047,
|
|
"eval_runtime": 39.2507,
|
|
"eval_samples_per_second": 76.432,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 364
|
|
},
|
|
{
|
|
"epoch": 2.45,
|
|
"eval_loss": 0.6180170774459839,
|
|
"eval_runtime": 39.2506,
|
|
"eval_samples_per_second": 76.432,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 371
|
|
},
|
|
{
|
|
"epoch": 2.49,
|
|
"eval_loss": 0.6175986528396606,
|
|
"eval_runtime": 39.2493,
|
|
"eval_samples_per_second": 76.434,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 378
|
|
},
|
|
{
|
|
"epoch": 2.51,
|
|
"learning_rate": 0.00015117056856187293,
|
|
"loss": 0.6194,
|
|
"step": 380
|
|
},
|
|
{
|
|
"epoch": 2.54,
|
|
"eval_loss": 0.6155608296394348,
|
|
"eval_runtime": 39.2549,
|
|
"eval_samples_per_second": 76.424,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 385
|
|
},
|
|
{
|
|
"epoch": 2.59,
|
|
"eval_loss": 0.6149768829345703,
|
|
"eval_runtime": 39.2507,
|
|
"eval_samples_per_second": 76.432,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 392
|
|
},
|
|
{
|
|
"epoch": 2.63,
|
|
"eval_loss": 0.614321768283844,
|
|
"eval_runtime": 39.2607,
|
|
"eval_samples_per_second": 76.412,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 399
|
|
},
|
|
{
|
|
"epoch": 2.64,
|
|
"learning_rate": 0.00014849498327759196,
|
|
"loss": 0.6165,
|
|
"step": 400
|
|
},
|
|
{
|
|
"epoch": 2.68,
|
|
"eval_loss": 0.6136913299560547,
|
|
"eval_runtime": 39.256,
|
|
"eval_samples_per_second": 76.422,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 406
|
|
},
|
|
{
|
|
"epoch": 2.72,
|
|
"eval_loss": 0.6127980351448059,
|
|
"eval_runtime": 39.2695,
|
|
"eval_samples_per_second": 76.395,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 413
|
|
},
|
|
{
|
|
"epoch": 2.77,
|
|
"learning_rate": 0.00014581939799331104,
|
|
"loss": 0.6202,
|
|
"step": 420
|
|
},
|
|
{
|
|
"epoch": 2.77,
|
|
"eval_loss": 0.6126558780670166,
|
|
"eval_runtime": 39.2344,
|
|
"eval_samples_per_second": 76.464,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 420
|
|
},
|
|
{
|
|
"epoch": 2.82,
|
|
"eval_loss": 0.6126319766044617,
|
|
"eval_runtime": 39.2692,
|
|
"eval_samples_per_second": 76.396,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 427
|
|
},
|
|
{
|
|
"epoch": 2.86,
|
|
"eval_loss": 0.6124591827392578,
|
|
"eval_runtime": 39.2771,
|
|
"eval_samples_per_second": 76.38,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 434
|
|
},
|
|
{
|
|
"epoch": 2.9,
|
|
"learning_rate": 0.0001431438127090301,
|
|
"loss": 0.6186,
|
|
"step": 440
|
|
},
|
|
{
|
|
"epoch": 2.91,
|
|
"eval_loss": 0.6117784976959229,
|
|
"eval_runtime": 39.2494,
|
|
"eval_samples_per_second": 76.434,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 441
|
|
},
|
|
{
|
|
"epoch": 2.96,
|
|
"eval_loss": 0.6105948090553284,
|
|
"eval_runtime": 39.2716,
|
|
"eval_samples_per_second": 76.391,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 448
|
|
},
|
|
{
|
|
"epoch": 3.0,
|
|
"eval_loss": 0.6107361912727356,
|
|
"eval_runtime": 39.2828,
|
|
"eval_samples_per_second": 76.369,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 455
|
|
},
|
|
{
|
|
"epoch": 3.04,
|
|
"learning_rate": 0.00014046822742474916,
|
|
"loss": 0.6165,
|
|
"step": 460
|
|
},
|
|
{
|
|
"epoch": 3.05,
|
|
"eval_loss": 0.6106633543968201,
|
|
"eval_runtime": 39.2701,
|
|
"eval_samples_per_second": 76.394,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 462
|
|
},
|
|
{
|
|
"epoch": 3.09,
|
|
"eval_loss": 0.6104211807250977,
|
|
"eval_runtime": 39.2794,
|
|
"eval_samples_per_second": 76.376,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 469
|
|
},
|
|
{
|
|
"epoch": 3.14,
|
|
"eval_loss": 0.611173152923584,
|
|
"eval_runtime": 39.2596,
|
|
"eval_samples_per_second": 76.415,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 476
|
|
},
|
|
{
|
|
"epoch": 3.17,
|
|
"learning_rate": 0.00013779264214046824,
|
|
"loss": 0.6021,
|
|
"step": 480
|
|
},
|
|
{
|
|
"epoch": 3.19,
|
|
"eval_loss": 0.6094884276390076,
|
|
"eval_runtime": 39.2429,
|
|
"eval_samples_per_second": 76.447,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 483
|
|
},
|
|
{
|
|
"epoch": 3.23,
|
|
"eval_loss": 0.6093204617500305,
|
|
"eval_runtime": 39.278,
|
|
"eval_samples_per_second": 76.379,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 490
|
|
},
|
|
{
|
|
"epoch": 3.28,
|
|
"eval_loss": 0.60869961977005,
|
|
"eval_runtime": 39.269,
|
|
"eval_samples_per_second": 76.396,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 497
|
|
},
|
|
{
|
|
"epoch": 3.3,
|
|
"learning_rate": 0.0001351170568561873,
|
|
"loss": 0.6057,
|
|
"step": 500
|
|
},
|
|
{
|
|
"epoch": 3.33,
|
|
"eval_loss": 0.6093556880950928,
|
|
"eval_runtime": 39.2597,
|
|
"eval_samples_per_second": 76.414,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 504
|
|
},
|
|
{
|
|
"epoch": 3.37,
|
|
"eval_loss": 0.6078519821166992,
|
|
"eval_runtime": 39.2561,
|
|
"eval_samples_per_second": 76.421,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 511
|
|
},
|
|
{
|
|
"epoch": 3.42,
|
|
"eval_loss": 0.6079010367393494,
|
|
"eval_runtime": 39.2536,
|
|
"eval_samples_per_second": 76.426,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 518
|
|
},
|
|
{
|
|
"epoch": 3.43,
|
|
"learning_rate": 0.00013244147157190635,
|
|
"loss": 0.598,
|
|
"step": 520
|
|
},
|
|
{
|
|
"epoch": 3.46,
|
|
"eval_loss": 0.6074483394622803,
|
|
"eval_runtime": 39.2832,
|
|
"eval_samples_per_second": 76.369,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 525
|
|
},
|
|
{
|
|
"epoch": 3.51,
|
|
"eval_loss": 0.6073596477508545,
|
|
"eval_runtime": 39.2701,
|
|
"eval_samples_per_second": 76.394,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 532
|
|
},
|
|
{
|
|
"epoch": 3.56,
|
|
"eval_loss": 0.606430172920227,
|
|
"eval_runtime": 39.2546,
|
|
"eval_samples_per_second": 76.424,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 539
|
|
},
|
|
{
|
|
"epoch": 3.56,
|
|
"learning_rate": 0.00012976588628762543,
|
|
"loss": 0.5948,
|
|
"step": 540
|
|
},
|
|
{
|
|
"epoch": 3.6,
|
|
"eval_loss": 0.6060574650764465,
|
|
"eval_runtime": 39.2503,
|
|
"eval_samples_per_second": 76.433,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 546
|
|
},
|
|
{
|
|
"epoch": 3.65,
|
|
"eval_loss": 0.6067923307418823,
|
|
"eval_runtime": 39.2654,
|
|
"eval_samples_per_second": 76.403,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 553
|
|
},
|
|
{
|
|
"epoch": 3.69,
|
|
"learning_rate": 0.0001270903010033445,
|
|
"loss": 0.5962,
|
|
"step": 560
|
|
},
|
|
{
|
|
"epoch": 3.69,
|
|
"eval_loss": 0.6042212843894958,
|
|
"eval_runtime": 39.2032,
|
|
"eval_samples_per_second": 76.524,
|
|
"eval_steps_per_second": 2.398,
|
|
"step": 560
|
|
},
|
|
{
|
|
"epoch": 3.74,
|
|
"eval_loss": 0.6041299700737,
|
|
"eval_runtime": 39.2396,
|
|
"eval_samples_per_second": 76.453,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 567
|
|
},
|
|
{
|
|
"epoch": 3.79,
|
|
"eval_loss": 0.6047356128692627,
|
|
"eval_runtime": 39.274,
|
|
"eval_samples_per_second": 76.386,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 574
|
|
},
|
|
{
|
|
"epoch": 3.83,
|
|
"learning_rate": 0.00012441471571906357,
|
|
"loss": 0.5977,
|
|
"step": 580
|
|
},
|
|
{
|
|
"epoch": 3.83,
|
|
"eval_loss": 0.6040154099464417,
|
|
"eval_runtime": 39.2677,
|
|
"eval_samples_per_second": 76.399,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 581
|
|
},
|
|
{
|
|
"epoch": 3.88,
|
|
"eval_loss": 0.603416383266449,
|
|
"eval_runtime": 39.2621,
|
|
"eval_samples_per_second": 76.41,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 588
|
|
},
|
|
{
|
|
"epoch": 3.93,
|
|
"eval_loss": 0.6036480069160461,
|
|
"eval_runtime": 39.2609,
|
|
"eval_samples_per_second": 76.412,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 595
|
|
},
|
|
{
|
|
"epoch": 3.96,
|
|
"learning_rate": 0.00012173913043478263,
|
|
"loss": 0.5903,
|
|
"step": 600
|
|
},
|
|
{
|
|
"epoch": 3.97,
|
|
"eval_loss": 0.6035267114639282,
|
|
"eval_runtime": 39.2828,
|
|
"eval_samples_per_second": 76.369,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 602
|
|
},
|
|
{
|
|
"epoch": 4.02,
|
|
"eval_loss": 0.6025964617729187,
|
|
"eval_runtime": 39.2634,
|
|
"eval_samples_per_second": 76.407,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 609
|
|
},
|
|
{
|
|
"epoch": 4.06,
|
|
"eval_loss": 0.6028868556022644,
|
|
"eval_runtime": 39.2591,
|
|
"eval_samples_per_second": 76.415,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 616
|
|
},
|
|
{
|
|
"epoch": 4.09,
|
|
"learning_rate": 0.0001190635451505017,
|
|
"loss": 0.5927,
|
|
"step": 620
|
|
},
|
|
{
|
|
"epoch": 4.11,
|
|
"eval_loss": 0.6027114391326904,
|
|
"eval_runtime": 39.2648,
|
|
"eval_samples_per_second": 76.404,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 623
|
|
},
|
|
{
|
|
"epoch": 4.16,
|
|
"eval_loss": 0.6030986905097961,
|
|
"eval_runtime": 39.2746,
|
|
"eval_samples_per_second": 76.385,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 630
|
|
},
|
|
{
|
|
"epoch": 4.2,
|
|
"eval_loss": 0.6026434898376465,
|
|
"eval_runtime": 39.2646,
|
|
"eval_samples_per_second": 76.405,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 637
|
|
},
|
|
{
|
|
"epoch": 4.22,
|
|
"learning_rate": 0.00011638795986622074,
|
|
"loss": 0.581,
|
|
"step": 640
|
|
},
|
|
{
|
|
"epoch": 4.25,
|
|
"eval_loss": 0.6008206009864807,
|
|
"eval_runtime": 39.2718,
|
|
"eval_samples_per_second": 76.391,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 644
|
|
},
|
|
{
|
|
"epoch": 4.3,
|
|
"eval_loss": 0.6018855571746826,
|
|
"eval_runtime": 39.2587,
|
|
"eval_samples_per_second": 76.416,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 651
|
|
},
|
|
{
|
|
"epoch": 4.34,
|
|
"eval_loss": 0.6018174886703491,
|
|
"eval_runtime": 39.2445,
|
|
"eval_samples_per_second": 76.444,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 658
|
|
},
|
|
{
|
|
"epoch": 4.35,
|
|
"learning_rate": 0.00011371237458193979,
|
|
"loss": 0.5965,
|
|
"step": 660
|
|
},
|
|
{
|
|
"epoch": 4.39,
|
|
"eval_loss": 0.6006762981414795,
|
|
"eval_runtime": 39.2498,
|
|
"eval_samples_per_second": 76.433,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 665
|
|
},
|
|
{
|
|
"epoch": 4.43,
|
|
"eval_loss": 0.6006374359130859,
|
|
"eval_runtime": 39.2758,
|
|
"eval_samples_per_second": 76.383,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 672
|
|
},
|
|
{
|
|
"epoch": 4.48,
|
|
"eval_loss": 0.5997828245162964,
|
|
"eval_runtime": 39.2794,
|
|
"eval_samples_per_second": 76.376,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 679
|
|
},
|
|
{
|
|
"epoch": 4.49,
|
|
"learning_rate": 0.00011103678929765886,
|
|
"loss": 0.5896,
|
|
"step": 680
|
|
},
|
|
{
|
|
"epoch": 4.53,
|
|
"eval_loss": 0.6000981330871582,
|
|
"eval_runtime": 39.2629,
|
|
"eval_samples_per_second": 76.408,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 686
|
|
},
|
|
{
|
|
"epoch": 4.57,
|
|
"eval_loss": 0.5991115570068359,
|
|
"eval_runtime": 39.2774,
|
|
"eval_samples_per_second": 76.38,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 693
|
|
},
|
|
{
|
|
"epoch": 4.62,
|
|
"learning_rate": 0.00010836120401337793,
|
|
"loss": 0.5854,
|
|
"step": 700
|
|
},
|
|
{
|
|
"epoch": 4.62,
|
|
"eval_loss": 0.6001954674720764,
|
|
"eval_runtime": 39.2333,
|
|
"eval_samples_per_second": 76.466,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 700
|
|
},
|
|
{
|
|
"epoch": 4.66,
|
|
"eval_loss": 0.6007575988769531,
|
|
"eval_runtime": 39.2801,
|
|
"eval_samples_per_second": 76.374,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 707
|
|
},
|
|
{
|
|
"epoch": 4.71,
|
|
"eval_loss": 0.5983864068984985,
|
|
"eval_runtime": 39.2469,
|
|
"eval_samples_per_second": 76.439,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 714
|
|
},
|
|
{
|
|
"epoch": 4.75,
|
|
"learning_rate": 0.00010568561872909698,
|
|
"loss": 0.5844,
|
|
"step": 720
|
|
},
|
|
{
|
|
"epoch": 4.76,
|
|
"eval_loss": 0.5985506772994995,
|
|
"eval_runtime": 39.2426,
|
|
"eval_samples_per_second": 76.448,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 721
|
|
},
|
|
{
|
|
"epoch": 4.8,
|
|
"eval_loss": 0.5978309512138367,
|
|
"eval_runtime": 39.2604,
|
|
"eval_samples_per_second": 76.413,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 728
|
|
},
|
|
{
|
|
"epoch": 4.85,
|
|
"eval_loss": 0.5981310606002808,
|
|
"eval_runtime": 39.2686,
|
|
"eval_samples_per_second": 76.397,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 735
|
|
},
|
|
{
|
|
"epoch": 4.88,
|
|
"learning_rate": 0.00010301003344481605,
|
|
"loss": 0.5784,
|
|
"step": 740
|
|
},
|
|
{
|
|
"epoch": 4.9,
|
|
"eval_loss": 0.5985335111618042,
|
|
"eval_runtime": 39.2557,
|
|
"eval_samples_per_second": 76.422,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 742
|
|
},
|
|
{
|
|
"epoch": 4.94,
|
|
"eval_loss": 0.5975944995880127,
|
|
"eval_runtime": 39.2644,
|
|
"eval_samples_per_second": 76.405,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 749
|
|
},
|
|
{
|
|
"epoch": 4.99,
|
|
"eval_loss": 0.596754252910614,
|
|
"eval_runtime": 39.2365,
|
|
"eval_samples_per_second": 76.459,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 756
|
|
},
|
|
{
|
|
"epoch": 5.01,
|
|
"learning_rate": 0.00010033444816053512,
|
|
"loss": 0.5825,
|
|
"step": 760
|
|
},
|
|
{
|
|
"epoch": 5.03,
|
|
"eval_loss": 0.5977214574813843,
|
|
"eval_runtime": 39.235,
|
|
"eval_samples_per_second": 76.462,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 763
|
|
},
|
|
{
|
|
"epoch": 5.08,
|
|
"eval_loss": 0.5982287526130676,
|
|
"eval_runtime": 39.2483,
|
|
"eval_samples_per_second": 76.436,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 770
|
|
},
|
|
{
|
|
"epoch": 5.13,
|
|
"eval_loss": 0.5973477959632874,
|
|
"eval_runtime": 39.2692,
|
|
"eval_samples_per_second": 76.396,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 777
|
|
},
|
|
{
|
|
"epoch": 5.15,
|
|
"learning_rate": 9.765886287625419e-05,
|
|
"loss": 0.5724,
|
|
"step": 780
|
|
},
|
|
{
|
|
"epoch": 5.17,
|
|
"eval_loss": 0.598833441734314,
|
|
"eval_runtime": 39.2608,
|
|
"eval_samples_per_second": 76.412,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 784
|
|
},
|
|
{
|
|
"epoch": 5.22,
|
|
"eval_loss": 0.5973609089851379,
|
|
"eval_runtime": 39.2557,
|
|
"eval_samples_per_second": 76.422,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 791
|
|
},
|
|
{
|
|
"epoch": 5.27,
|
|
"eval_loss": 0.5983055233955383,
|
|
"eval_runtime": 39.2613,
|
|
"eval_samples_per_second": 76.411,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 798
|
|
},
|
|
{
|
|
"epoch": 5.28,
|
|
"learning_rate": 9.498327759197325e-05,
|
|
"loss": 0.5765,
|
|
"step": 800
|
|
},
|
|
{
|
|
"epoch": 5.31,
|
|
"eval_loss": 0.597219705581665,
|
|
"eval_runtime": 39.2532,
|
|
"eval_samples_per_second": 76.427,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 805
|
|
},
|
|
{
|
|
"epoch": 5.36,
|
|
"eval_loss": 0.5974920392036438,
|
|
"eval_runtime": 39.2428,
|
|
"eval_samples_per_second": 76.447,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 812
|
|
},
|
|
{
|
|
"epoch": 5.4,
|
|
"eval_loss": 0.5970295667648315,
|
|
"eval_runtime": 39.2255,
|
|
"eval_samples_per_second": 76.481,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 819
|
|
},
|
|
{
|
|
"epoch": 5.41,
|
|
"learning_rate": 9.230769230769232e-05,
|
|
"loss": 0.5662,
|
|
"step": 820
|
|
},
|
|
{
|
|
"epoch": 5.45,
|
|
"eval_loss": 0.5995200872421265,
|
|
"eval_runtime": 39.2763,
|
|
"eval_samples_per_second": 76.382,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 826
|
|
},
|
|
{
|
|
"epoch": 5.5,
|
|
"eval_loss": 0.5961365699768066,
|
|
"eval_runtime": 39.2442,
|
|
"eval_samples_per_second": 76.444,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 833
|
|
},
|
|
{
|
|
"epoch": 5.54,
|
|
"learning_rate": 8.963210702341137e-05,
|
|
"loss": 0.5594,
|
|
"step": 840
|
|
},
|
|
{
|
|
"epoch": 5.54,
|
|
"eval_loss": 0.5958811640739441,
|
|
"eval_runtime": 39.224,
|
|
"eval_samples_per_second": 76.484,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 840
|
|
},
|
|
{
|
|
"epoch": 5.59,
|
|
"eval_loss": 0.5974062085151672,
|
|
"eval_runtime": 39.2479,
|
|
"eval_samples_per_second": 76.437,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 847
|
|
},
|
|
{
|
|
"epoch": 5.63,
|
|
"eval_loss": 0.5959305167198181,
|
|
"eval_runtime": 39.1122,
|
|
"eval_samples_per_second": 76.702,
|
|
"eval_steps_per_second": 2.403,
|
|
"step": 854
|
|
},
|
|
{
|
|
"epoch": 5.67,
|
|
"learning_rate": 8.695652173913044e-05,
|
|
"loss": 0.5569,
|
|
"step": 860
|
|
},
|
|
{
|
|
"epoch": 5.68,
|
|
"eval_loss": 0.597082257270813,
|
|
"eval_runtime": 39.2419,
|
|
"eval_samples_per_second": 76.449,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 861
|
|
},
|
|
{
|
|
"epoch": 5.73,
|
|
"eval_loss": 0.5964935421943665,
|
|
"eval_runtime": 39.2482,
|
|
"eval_samples_per_second": 76.437,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 868
|
|
},
|
|
{
|
|
"epoch": 5.77,
|
|
"eval_loss": 0.596628725528717,
|
|
"eval_runtime": 39.2684,
|
|
"eval_samples_per_second": 76.397,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 875
|
|
},
|
|
{
|
|
"epoch": 5.81,
|
|
"learning_rate": 8.42809364548495e-05,
|
|
"loss": 0.5711,
|
|
"step": 880
|
|
},
|
|
{
|
|
"epoch": 5.82,
|
|
"eval_loss": 0.596688449382782,
|
|
"eval_runtime": 39.262,
|
|
"eval_samples_per_second": 76.41,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 882
|
|
},
|
|
{
|
|
"epoch": 5.87,
|
|
"eval_loss": 0.5974501967430115,
|
|
"eval_runtime": 39.2621,
|
|
"eval_samples_per_second": 76.409,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 889
|
|
},
|
|
{
|
|
"epoch": 5.91,
|
|
"eval_loss": 0.5951861143112183,
|
|
"eval_runtime": 39.2622,
|
|
"eval_samples_per_second": 76.409,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 896
|
|
},
|
|
{
|
|
"epoch": 5.94,
|
|
"learning_rate": 8.160535117056857e-05,
|
|
"loss": 0.5703,
|
|
"step": 900
|
|
},
|
|
{
|
|
"epoch": 5.96,
|
|
"eval_loss": 0.5963322520256042,
|
|
"eval_runtime": 39.2656,
|
|
"eval_samples_per_second": 76.403,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 903
|
|
},
|
|
{
|
|
"epoch": 6.0,
|
|
"eval_loss": 0.5958115458488464,
|
|
"eval_runtime": 39.2804,
|
|
"eval_samples_per_second": 76.374,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 910
|
|
},
|
|
{
|
|
"epoch": 6.05,
|
|
"eval_loss": 0.5968443155288696,
|
|
"eval_runtime": 39.2618,
|
|
"eval_samples_per_second": 76.41,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 917
|
|
},
|
|
{
|
|
"epoch": 6.07,
|
|
"learning_rate": 7.892976588628763e-05,
|
|
"loss": 0.5551,
|
|
"step": 920
|
|
},
|
|
{
|
|
"epoch": 6.1,
|
|
"eval_loss": 0.5958288311958313,
|
|
"eval_runtime": 39.2648,
|
|
"eval_samples_per_second": 76.404,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 924
|
|
},
|
|
{
|
|
"epoch": 6.14,
|
|
"eval_loss": 0.5968209505081177,
|
|
"eval_runtime": 39.2563,
|
|
"eval_samples_per_second": 76.421,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 931
|
|
},
|
|
{
|
|
"epoch": 6.19,
|
|
"eval_loss": 0.5957658886909485,
|
|
"eval_runtime": 39.2499,
|
|
"eval_samples_per_second": 76.433,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 938
|
|
},
|
|
{
|
|
"epoch": 6.2,
|
|
"learning_rate": 7.62541806020067e-05,
|
|
"loss": 0.5636,
|
|
"step": 940
|
|
},
|
|
{
|
|
"epoch": 6.24,
|
|
"eval_loss": 0.5955784916877747,
|
|
"eval_runtime": 39.279,
|
|
"eval_samples_per_second": 76.377,
|
|
"eval_steps_per_second": 2.393,
|
|
"step": 945
|
|
},
|
|
{
|
|
"epoch": 6.28,
|
|
"eval_loss": 0.5963084101676941,
|
|
"eval_runtime": 39.2656,
|
|
"eval_samples_per_second": 76.403,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 952
|
|
},
|
|
{
|
|
"epoch": 6.33,
|
|
"eval_loss": 0.595792829990387,
|
|
"eval_runtime": 39.2577,
|
|
"eval_samples_per_second": 76.418,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 959
|
|
},
|
|
{
|
|
"epoch": 6.33,
|
|
"learning_rate": 7.357859531772575e-05,
|
|
"loss": 0.5676,
|
|
"step": 960
|
|
},
|
|
{
|
|
"epoch": 6.37,
|
|
"eval_loss": 0.5953949093818665,
|
|
"eval_runtime": 39.2554,
|
|
"eval_samples_per_second": 76.423,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 966
|
|
},
|
|
{
|
|
"epoch": 6.42,
|
|
"eval_loss": 0.595146894454956,
|
|
"eval_runtime": 39.2386,
|
|
"eval_samples_per_second": 76.455,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 973
|
|
},
|
|
{
|
|
"epoch": 6.47,
|
|
"learning_rate": 7.090301003344481e-05,
|
|
"loss": 0.5551,
|
|
"step": 980
|
|
},
|
|
{
|
|
"epoch": 6.47,
|
|
"eval_loss": 0.5957517027854919,
|
|
"eval_runtime": 39.197,
|
|
"eval_samples_per_second": 76.536,
|
|
"eval_steps_per_second": 2.398,
|
|
"step": 980
|
|
},
|
|
{
|
|
"epoch": 6.51,
|
|
"eval_loss": 0.596603512763977,
|
|
"eval_runtime": 39.2315,
|
|
"eval_samples_per_second": 76.469,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 987
|
|
},
|
|
{
|
|
"epoch": 6.56,
|
|
"eval_loss": 0.5952173471450806,
|
|
"eval_runtime": 39.2393,
|
|
"eval_samples_per_second": 76.454,
|
|
"eval_steps_per_second": 2.396,
|
|
"step": 994
|
|
},
|
|
{
|
|
"epoch": 6.6,
|
|
"learning_rate": 6.822742474916388e-05,
|
|
"loss": 0.5539,
|
|
"step": 1000
|
|
},
|
|
{
|
|
"epoch": 6.6,
|
|
"eval_loss": 0.5954132676124573,
|
|
"eval_runtime": 39.2213,
|
|
"eval_samples_per_second": 76.489,
|
|
"eval_steps_per_second": 2.397,
|
|
"step": 1001
|
|
},
|
|
{
|
|
"epoch": 6.65,
|
|
"eval_loss": 0.5956953167915344,
|
|
"eval_runtime": 39.2503,
|
|
"eval_samples_per_second": 76.432,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 1008
|
|
},
|
|
{
|
|
"epoch": 6.7,
|
|
"eval_loss": 0.5959665775299072,
|
|
"eval_runtime": 39.2657,
|
|
"eval_samples_per_second": 76.403,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 1015
|
|
},
|
|
{
|
|
"epoch": 6.73,
|
|
"learning_rate": 6.555183946488295e-05,
|
|
"loss": 0.5607,
|
|
"step": 1020
|
|
},
|
|
{
|
|
"epoch": 6.74,
|
|
"eval_loss": 0.5952425003051758,
|
|
"eval_runtime": 39.2705,
|
|
"eval_samples_per_second": 76.393,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 1022
|
|
},
|
|
{
|
|
"epoch": 6.79,
|
|
"eval_loss": 0.5953785181045532,
|
|
"eval_runtime": 39.2403,
|
|
"eval_samples_per_second": 76.452,
|
|
"eval_steps_per_second": 2.395,
|
|
"step": 1029
|
|
},
|
|
{
|
|
"epoch": 6.84,
|
|
"eval_loss": 0.5939880609512329,
|
|
"eval_runtime": 39.2586,
|
|
"eval_samples_per_second": 76.416,
|
|
"eval_steps_per_second": 2.394,
|
|
"step": 1036
|
|
}
|
|
],
|
|
"max_steps": 1510,
|
|
"num_train_epochs": 10,
|
|
"total_flos": 9.026762224110141e+18,
|
|
"trial_name": null,
|
|
"trial_params": null
|
|
}
|