|
{ |
|
"best_metric": 3.2050249576568604, |
|
"best_model_checkpoint": "outputs-small/checkpoint-232000", |
|
"epoch": 9.961698984937223, |
|
"eval_steps": 4000, |
|
"global_step": 232000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.000399312685252803, |
|
"loss": 2.7854, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0003984535418188067, |
|
"loss": 2.7344, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.00039759439838481036, |
|
"loss": 2.7156, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.00039673525495081404, |
|
"loss": 2.6988, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 0.00039587611151681773, |
|
"loss": 2.6938, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"learning_rate": 0.0003950169680828214, |
|
"loss": 2.6735, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.00039415782464882515, |
|
"loss": 2.6691, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"learning_rate": 0.00039329868121482884, |
|
"loss": 2.6607, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"eval_loss": 3.4210398197174072, |
|
"eval_runtime": 69.8141, |
|
"eval_samples_per_second": 35.809, |
|
"eval_steps_per_second": 8.952, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"learning_rate": 0.0003924395377808325, |
|
"loss": 2.6441, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 0.0003915803943468362, |
|
"loss": 2.6413, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 0.0003907212509128399, |
|
"loss": 2.6438, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 0.0003898621074788436, |
|
"loss": 2.64, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.28, |
|
"learning_rate": 0.00038900296404484726, |
|
"loss": 2.6249, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"learning_rate": 0.000388143820610851, |
|
"loss": 2.6251, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"learning_rate": 0.0003872846771768547, |
|
"loss": 2.6362, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"learning_rate": 0.00038642553374285837, |
|
"loss": 2.6154, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"eval_loss": 3.375439167022705, |
|
"eval_runtime": 69.7038, |
|
"eval_samples_per_second": 35.866, |
|
"eval_steps_per_second": 8.967, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 0.00038556639030886205, |
|
"loss": 2.6244, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"learning_rate": 0.0003847072468748658, |
|
"loss": 2.605, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"learning_rate": 0.0003838481034408695, |
|
"loss": 2.607, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 0.43, |
|
"learning_rate": 0.00038298896000687316, |
|
"loss": 2.5968, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"learning_rate": 0.0003821298165728769, |
|
"loss": 2.6011, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"learning_rate": 0.0003812706731388806, |
|
"loss": 2.6044, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"learning_rate": 0.00038041152970488427, |
|
"loss": 2.6152, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 0.52, |
|
"learning_rate": 0.00037955238627088796, |
|
"loss": 2.5931, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 0.52, |
|
"eval_loss": 3.3464293479919434, |
|
"eval_runtime": 70.0461, |
|
"eval_samples_per_second": 35.691, |
|
"eval_steps_per_second": 8.923, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"learning_rate": 0.00037869324283689164, |
|
"loss": 2.6057, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"learning_rate": 0.0003778340994028953, |
|
"loss": 2.5971, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"learning_rate": 0.00037697495596889907, |
|
"loss": 2.5972, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 0.00037611581253490275, |
|
"loss": 2.5886, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"learning_rate": 0.00037525666910090644, |
|
"loss": 2.6032, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"learning_rate": 0.0003743975256669101, |
|
"loss": 2.5948, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 0.67, |
|
"learning_rate": 0.0003735383822329138, |
|
"loss": 2.5832, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 0.0003726792387989175, |
|
"loss": 2.5915, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"eval_loss": 3.3282320499420166, |
|
"eval_runtime": 69.8767, |
|
"eval_samples_per_second": 35.777, |
|
"eval_steps_per_second": 8.944, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"learning_rate": 0.0003718200953649212, |
|
"loss": 2.5876, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"learning_rate": 0.0003709609519309249, |
|
"loss": 2.5797, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"learning_rate": 0.0003701018084969286, |
|
"loss": 2.5902, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"learning_rate": 0.0003692426650629323, |
|
"loss": 2.5837, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"learning_rate": 0.00036838352162893597, |
|
"loss": 2.5814, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 0.82, |
|
"learning_rate": 0.00036752437819493965, |
|
"loss": 2.5798, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 0.00036666523476094334, |
|
"loss": 2.5868, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"learning_rate": 0.000365806091326947, |
|
"loss": 2.5812, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"eval_loss": 3.3161280155181885, |
|
"eval_runtime": 69.8895, |
|
"eval_samples_per_second": 35.771, |
|
"eval_steps_per_second": 8.943, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"learning_rate": 0.00036494694789295076, |
|
"loss": 2.5681, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 0.00036408780445895445, |
|
"loss": 2.583, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"learning_rate": 0.00036322866102495813, |
|
"loss": 2.5875, |
|
"step": 21500 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"learning_rate": 0.0003623695175909618, |
|
"loss": 2.5692, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"learning_rate": 0.0003615103741569655, |
|
"loss": 2.5728, |
|
"step": 22500 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"learning_rate": 0.0003606512307229692, |
|
"loss": 2.58, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"learning_rate": 0.00035979208728897287, |
|
"loss": 2.5674, |
|
"step": 23500 |
|
}, |
|
{ |
|
"epoch": 1.03, |
|
"learning_rate": 0.0003589329438549766, |
|
"loss": 2.5685, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 1.03, |
|
"eval_loss": 3.305285930633545, |
|
"eval_runtime": 70.0352, |
|
"eval_samples_per_second": 35.696, |
|
"eval_steps_per_second": 8.924, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 0.0003580738004209803, |
|
"loss": 2.5612, |
|
"step": 24500 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"learning_rate": 0.000357214656986984, |
|
"loss": 2.5571, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"learning_rate": 0.00035635551355298766, |
|
"loss": 2.5599, |
|
"step": 25500 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"learning_rate": 0.00035549637011899135, |
|
"loss": 2.5691, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"learning_rate": 0.00035463722668499503, |
|
"loss": 2.5652, |
|
"step": 26500 |
|
}, |
|
{ |
|
"epoch": 1.16, |
|
"learning_rate": 0.0003537780832509988, |
|
"loss": 2.5615, |
|
"step": 27000 |
|
}, |
|
{ |
|
"epoch": 1.18, |
|
"learning_rate": 0.00035291893981700246, |
|
"loss": 2.5624, |
|
"step": 27500 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"learning_rate": 0.00035205979638300614, |
|
"loss": 2.5551, |
|
"step": 28000 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"eval_loss": 3.3031015396118164, |
|
"eval_runtime": 70.3897, |
|
"eval_samples_per_second": 35.517, |
|
"eval_steps_per_second": 8.879, |
|
"step": 28000 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"learning_rate": 0.0003512006529490099, |
|
"loss": 2.5608, |
|
"step": 28500 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"learning_rate": 0.00035034150951501357, |
|
"loss": 2.5662, |
|
"step": 29000 |
|
}, |
|
{ |
|
"epoch": 1.27, |
|
"learning_rate": 0.00034948236608101725, |
|
"loss": 2.5642, |
|
"step": 29500 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"learning_rate": 0.00034862322264702094, |
|
"loss": 2.5727, |
|
"step": 30000 |
|
}, |
|
{ |
|
"epoch": 1.31, |
|
"learning_rate": 0.0003477640792130247, |
|
"loss": 2.5536, |
|
"step": 30500 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"learning_rate": 0.00034690493577902836, |
|
"loss": 2.5683, |
|
"step": 31000 |
|
}, |
|
{ |
|
"epoch": 1.35, |
|
"learning_rate": 0.00034604579234503205, |
|
"loss": 2.5515, |
|
"step": 31500 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"learning_rate": 0.00034518664891103573, |
|
"loss": 2.5568, |
|
"step": 32000 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"eval_loss": 3.2884230613708496, |
|
"eval_runtime": 70.9923, |
|
"eval_samples_per_second": 35.215, |
|
"eval_steps_per_second": 8.804, |
|
"step": 32000 |
|
}, |
|
{ |
|
"epoch": 1.4, |
|
"learning_rate": 0.0003443275054770394, |
|
"loss": 2.5517, |
|
"step": 32500 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"learning_rate": 0.0003434683620430431, |
|
"loss": 2.5621, |
|
"step": 33000 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"learning_rate": 0.0003426092186090468, |
|
"loss": 2.5494, |
|
"step": 33500 |
|
}, |
|
{ |
|
"epoch": 1.46, |
|
"learning_rate": 0.0003417500751750505, |
|
"loss": 2.55, |
|
"step": 34000 |
|
}, |
|
{ |
|
"epoch": 1.48, |
|
"learning_rate": 0.0003408909317410542, |
|
"loss": 2.5584, |
|
"step": 34500 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 0.0003400317883070579, |
|
"loss": 2.5564, |
|
"step": 35000 |
|
}, |
|
{ |
|
"epoch": 1.52, |
|
"learning_rate": 0.0003391726448730616, |
|
"loss": 2.5529, |
|
"step": 35500 |
|
}, |
|
{ |
|
"epoch": 1.55, |
|
"learning_rate": 0.00033831350143906526, |
|
"loss": 2.5552, |
|
"step": 36000 |
|
}, |
|
{ |
|
"epoch": 1.55, |
|
"eval_loss": 3.2850100994110107, |
|
"eval_runtime": 69.9369, |
|
"eval_samples_per_second": 35.747, |
|
"eval_steps_per_second": 8.937, |
|
"step": 36000 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 0.00033745435800506895, |
|
"loss": 2.5711, |
|
"step": 36500 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"learning_rate": 0.00033659521457107263, |
|
"loss": 2.5477, |
|
"step": 37000 |
|
}, |
|
{ |
|
"epoch": 1.61, |
|
"learning_rate": 0.00033573607113707637, |
|
"loss": 2.5592, |
|
"step": 37500 |
|
}, |
|
{ |
|
"epoch": 1.63, |
|
"learning_rate": 0.00033487692770308006, |
|
"loss": 2.5594, |
|
"step": 38000 |
|
}, |
|
{ |
|
"epoch": 1.65, |
|
"learning_rate": 0.00033401778426908374, |
|
"loss": 2.5456, |
|
"step": 38500 |
|
}, |
|
{ |
|
"epoch": 1.67, |
|
"learning_rate": 0.0003331586408350874, |
|
"loss": 2.5583, |
|
"step": 39000 |
|
}, |
|
{ |
|
"epoch": 1.7, |
|
"learning_rate": 0.0003322994974010911, |
|
"loss": 2.5503, |
|
"step": 39500 |
|
}, |
|
{ |
|
"epoch": 1.72, |
|
"learning_rate": 0.0003314403539670948, |
|
"loss": 2.5502, |
|
"step": 40000 |
|
}, |
|
{ |
|
"epoch": 1.72, |
|
"eval_loss": 3.289710521697998, |
|
"eval_runtime": 69.6403, |
|
"eval_samples_per_second": 35.899, |
|
"eval_steps_per_second": 8.975, |
|
"step": 40000 |
|
}, |
|
{ |
|
"epoch": 1.74, |
|
"learning_rate": 0.0003305812105330985, |
|
"loss": 2.5422, |
|
"step": 40500 |
|
}, |
|
{ |
|
"epoch": 1.76, |
|
"learning_rate": 0.0003297220670991022, |
|
"loss": 2.5566, |
|
"step": 41000 |
|
}, |
|
{ |
|
"epoch": 1.78, |
|
"learning_rate": 0.0003288629236651059, |
|
"loss": 2.5492, |
|
"step": 41500 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"learning_rate": 0.0003280037802311096, |
|
"loss": 2.5482, |
|
"step": 42000 |
|
}, |
|
{ |
|
"epoch": 1.82, |
|
"learning_rate": 0.0003271446367971133, |
|
"loss": 2.5538, |
|
"step": 42500 |
|
}, |
|
{ |
|
"epoch": 1.85, |
|
"learning_rate": 0.00032628549336311696, |
|
"loss": 2.5482, |
|
"step": 43000 |
|
}, |
|
{ |
|
"epoch": 1.87, |
|
"learning_rate": 0.00032542634992912064, |
|
"loss": 2.5499, |
|
"step": 43500 |
|
}, |
|
{ |
|
"epoch": 1.89, |
|
"learning_rate": 0.0003245672064951244, |
|
"loss": 2.5553, |
|
"step": 44000 |
|
}, |
|
{ |
|
"epoch": 1.89, |
|
"eval_loss": 3.2857840061187744, |
|
"eval_runtime": 69.6297, |
|
"eval_samples_per_second": 35.904, |
|
"eval_steps_per_second": 8.976, |
|
"step": 44000 |
|
}, |
|
{ |
|
"epoch": 1.91, |
|
"learning_rate": 0.00032370806306112807, |
|
"loss": 2.5506, |
|
"step": 44500 |
|
}, |
|
{ |
|
"epoch": 1.93, |
|
"learning_rate": 0.00032284891962713175, |
|
"loss": 2.5452, |
|
"step": 45000 |
|
}, |
|
{ |
|
"epoch": 1.95, |
|
"learning_rate": 0.00032198977619313544, |
|
"loss": 2.5505, |
|
"step": 45500 |
|
}, |
|
{ |
|
"epoch": 1.98, |
|
"learning_rate": 0.0003211306327591392, |
|
"loss": 2.5403, |
|
"step": 46000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 0.00032027148932514286, |
|
"loss": 2.5493, |
|
"step": 46500 |
|
}, |
|
{ |
|
"epoch": 2.02, |
|
"learning_rate": 0.00031941234589114655, |
|
"loss": 2.5413, |
|
"step": 47000 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"learning_rate": 0.00031855320245715023, |
|
"loss": 2.538, |
|
"step": 47500 |
|
}, |
|
{ |
|
"epoch": 2.06, |
|
"learning_rate": 0.00031769405902315397, |
|
"loss": 2.5408, |
|
"step": 48000 |
|
}, |
|
{ |
|
"epoch": 2.06, |
|
"eval_loss": 3.2898008823394775, |
|
"eval_runtime": 68.7611, |
|
"eval_samples_per_second": 36.358, |
|
"eval_steps_per_second": 9.089, |
|
"step": 48000 |
|
}, |
|
{ |
|
"epoch": 2.08, |
|
"learning_rate": 0.00031683491558915765, |
|
"loss": 2.5362, |
|
"step": 48500 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"learning_rate": 0.00031597577215516134, |
|
"loss": 2.5368, |
|
"step": 49000 |
|
}, |
|
{ |
|
"epoch": 2.13, |
|
"learning_rate": 0.000315116628721165, |
|
"loss": 2.5366, |
|
"step": 49500 |
|
}, |
|
{ |
|
"epoch": 2.15, |
|
"learning_rate": 0.0003142574852871687, |
|
"loss": 2.5375, |
|
"step": 50000 |
|
}, |
|
{ |
|
"epoch": 2.17, |
|
"learning_rate": 0.0003133983418531724, |
|
"loss": 2.5455, |
|
"step": 50500 |
|
}, |
|
{ |
|
"epoch": 2.19, |
|
"learning_rate": 0.00031253919841917613, |
|
"loss": 2.5465, |
|
"step": 51000 |
|
}, |
|
{ |
|
"epoch": 2.21, |
|
"learning_rate": 0.0003116800549851798, |
|
"loss": 2.5352, |
|
"step": 51500 |
|
}, |
|
{ |
|
"epoch": 2.23, |
|
"learning_rate": 0.0003108209115511835, |
|
"loss": 2.5377, |
|
"step": 52000 |
|
}, |
|
{ |
|
"epoch": 2.23, |
|
"eval_loss": 3.282806158065796, |
|
"eval_runtime": 69.9972, |
|
"eval_samples_per_second": 35.716, |
|
"eval_steps_per_second": 8.929, |
|
"step": 52000 |
|
}, |
|
{ |
|
"epoch": 2.25, |
|
"learning_rate": 0.0003099617681171872, |
|
"loss": 2.5459, |
|
"step": 52500 |
|
}, |
|
{ |
|
"epoch": 2.28, |
|
"learning_rate": 0.00030910262468319087, |
|
"loss": 2.5332, |
|
"step": 53000 |
|
}, |
|
{ |
|
"epoch": 2.3, |
|
"learning_rate": 0.00030824348124919456, |
|
"loss": 2.5324, |
|
"step": 53500 |
|
}, |
|
{ |
|
"epoch": 2.32, |
|
"learning_rate": 0.00030738433781519824, |
|
"loss": 2.5464, |
|
"step": 54000 |
|
}, |
|
{ |
|
"epoch": 2.34, |
|
"learning_rate": 0.000306525194381202, |
|
"loss": 2.538, |
|
"step": 54500 |
|
}, |
|
{ |
|
"epoch": 2.36, |
|
"learning_rate": 0.00030566605094720567, |
|
"loss": 2.5338, |
|
"step": 55000 |
|
}, |
|
{ |
|
"epoch": 2.38, |
|
"learning_rate": 0.00030480690751320935, |
|
"loss": 2.5329, |
|
"step": 55500 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"learning_rate": 0.00030394776407921304, |
|
"loss": 2.5418, |
|
"step": 56000 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"eval_loss": 3.2688469886779785, |
|
"eval_runtime": 69.5754, |
|
"eval_samples_per_second": 35.932, |
|
"eval_steps_per_second": 8.983, |
|
"step": 56000 |
|
}, |
|
{ |
|
"epoch": 2.43, |
|
"learning_rate": 0.0003030886206452167, |
|
"loss": 2.5293, |
|
"step": 56500 |
|
}, |
|
{ |
|
"epoch": 2.45, |
|
"learning_rate": 0.0003022294772112204, |
|
"loss": 2.53, |
|
"step": 57000 |
|
}, |
|
{ |
|
"epoch": 2.47, |
|
"learning_rate": 0.0003013703337772241, |
|
"loss": 2.5316, |
|
"step": 57500 |
|
}, |
|
{ |
|
"epoch": 2.49, |
|
"learning_rate": 0.00030051119034322783, |
|
"loss": 2.5439, |
|
"step": 58000 |
|
}, |
|
{ |
|
"epoch": 2.51, |
|
"learning_rate": 0.0002996520469092315, |
|
"loss": 2.5343, |
|
"step": 58500 |
|
}, |
|
{ |
|
"epoch": 2.53, |
|
"learning_rate": 0.0002987929034752352, |
|
"loss": 2.5396, |
|
"step": 59000 |
|
}, |
|
{ |
|
"epoch": 2.55, |
|
"learning_rate": 0.0002979337600412389, |
|
"loss": 2.5536, |
|
"step": 59500 |
|
}, |
|
{ |
|
"epoch": 2.58, |
|
"learning_rate": 0.00029707461660724257, |
|
"loss": 2.5441, |
|
"step": 60000 |
|
}, |
|
{ |
|
"epoch": 2.58, |
|
"eval_loss": 3.2687106132507324, |
|
"eval_runtime": 68.9594, |
|
"eval_samples_per_second": 36.253, |
|
"eval_steps_per_second": 9.063, |
|
"step": 60000 |
|
}, |
|
{ |
|
"epoch": 2.6, |
|
"learning_rate": 0.00029621547317324625, |
|
"loss": 2.5359, |
|
"step": 60500 |
|
}, |
|
{ |
|
"epoch": 2.62, |
|
"learning_rate": 0.00029535632973925, |
|
"loss": 2.5327, |
|
"step": 61000 |
|
}, |
|
{ |
|
"epoch": 2.64, |
|
"learning_rate": 0.0002944971863052537, |
|
"loss": 2.5418, |
|
"step": 61500 |
|
}, |
|
{ |
|
"epoch": 2.66, |
|
"learning_rate": 0.00029363804287125736, |
|
"loss": 2.5382, |
|
"step": 62000 |
|
}, |
|
{ |
|
"epoch": 2.68, |
|
"learning_rate": 0.00029277889943726105, |
|
"loss": 2.529, |
|
"step": 62500 |
|
}, |
|
{ |
|
"epoch": 2.71, |
|
"learning_rate": 0.00029191975600326473, |
|
"loss": 2.5239, |
|
"step": 63000 |
|
}, |
|
{ |
|
"epoch": 2.73, |
|
"learning_rate": 0.0002910606125692684, |
|
"loss": 2.538, |
|
"step": 63500 |
|
}, |
|
{ |
|
"epoch": 2.75, |
|
"learning_rate": 0.00029020146913527216, |
|
"loss": 2.5468, |
|
"step": 64000 |
|
}, |
|
{ |
|
"epoch": 2.75, |
|
"eval_loss": 3.265432357788086, |
|
"eval_runtime": 70.53, |
|
"eval_samples_per_second": 35.446, |
|
"eval_steps_per_second": 8.861, |
|
"step": 64000 |
|
}, |
|
{ |
|
"epoch": 2.77, |
|
"learning_rate": 0.00028934232570127584, |
|
"loss": 2.5357, |
|
"step": 64500 |
|
}, |
|
{ |
|
"epoch": 2.79, |
|
"learning_rate": 0.0002884831822672795, |
|
"loss": 2.5266, |
|
"step": 65000 |
|
}, |
|
{ |
|
"epoch": 2.81, |
|
"learning_rate": 0.00028762403883328326, |
|
"loss": 2.5329, |
|
"step": 65500 |
|
}, |
|
{ |
|
"epoch": 2.83, |
|
"learning_rate": 0.00028676489539928695, |
|
"loss": 2.5356, |
|
"step": 66000 |
|
}, |
|
{ |
|
"epoch": 2.86, |
|
"learning_rate": 0.00028590575196529063, |
|
"loss": 2.5332, |
|
"step": 66500 |
|
}, |
|
{ |
|
"epoch": 2.88, |
|
"learning_rate": 0.0002850466085312943, |
|
"loss": 2.531, |
|
"step": 67000 |
|
}, |
|
{ |
|
"epoch": 2.9, |
|
"learning_rate": 0.000284187465097298, |
|
"loss": 2.5347, |
|
"step": 67500 |
|
}, |
|
{ |
|
"epoch": 2.92, |
|
"learning_rate": 0.00028332832166330174, |
|
"loss": 2.545, |
|
"step": 68000 |
|
}, |
|
{ |
|
"epoch": 2.92, |
|
"eval_loss": 3.2531003952026367, |
|
"eval_runtime": 69.6224, |
|
"eval_samples_per_second": 35.908, |
|
"eval_steps_per_second": 8.977, |
|
"step": 68000 |
|
}, |
|
{ |
|
"epoch": 2.94, |
|
"learning_rate": 0.00028246917822930543, |
|
"loss": 2.5359, |
|
"step": 68500 |
|
}, |
|
{ |
|
"epoch": 2.96, |
|
"learning_rate": 0.0002816100347953091, |
|
"loss": 2.5332, |
|
"step": 69000 |
|
}, |
|
{ |
|
"epoch": 2.98, |
|
"learning_rate": 0.0002807508913613128, |
|
"loss": 2.5355, |
|
"step": 69500 |
|
}, |
|
{ |
|
"epoch": 3.01, |
|
"learning_rate": 0.0002798917479273165, |
|
"loss": 2.5359, |
|
"step": 70000 |
|
}, |
|
{ |
|
"epoch": 3.03, |
|
"learning_rate": 0.00027903260449332017, |
|
"loss": 2.514, |
|
"step": 70500 |
|
}, |
|
{ |
|
"epoch": 3.05, |
|
"learning_rate": 0.00027817346105932385, |
|
"loss": 2.5217, |
|
"step": 71000 |
|
}, |
|
{ |
|
"epoch": 3.07, |
|
"learning_rate": 0.0002773143176253276, |
|
"loss": 2.5188, |
|
"step": 71500 |
|
}, |
|
{ |
|
"epoch": 3.09, |
|
"learning_rate": 0.0002764551741913313, |
|
"loss": 2.5232, |
|
"step": 72000 |
|
}, |
|
{ |
|
"epoch": 3.09, |
|
"eval_loss": 3.2648589611053467, |
|
"eval_runtime": 69.9722, |
|
"eval_samples_per_second": 35.728, |
|
"eval_steps_per_second": 8.932, |
|
"step": 72000 |
|
}, |
|
{ |
|
"epoch": 3.11, |
|
"learning_rate": 0.00027559603075733496, |
|
"loss": 2.51, |
|
"step": 72500 |
|
}, |
|
{ |
|
"epoch": 3.13, |
|
"learning_rate": 0.00027473688732333865, |
|
"loss": 2.5234, |
|
"step": 73000 |
|
}, |
|
{ |
|
"epoch": 3.16, |
|
"learning_rate": 0.00027387774388934233, |
|
"loss": 2.5139, |
|
"step": 73500 |
|
}, |
|
{ |
|
"epoch": 3.18, |
|
"learning_rate": 0.000273018600455346, |
|
"loss": 2.5233, |
|
"step": 74000 |
|
}, |
|
{ |
|
"epoch": 3.2, |
|
"learning_rate": 0.0002721594570213497, |
|
"loss": 2.5247, |
|
"step": 74500 |
|
}, |
|
{ |
|
"epoch": 3.22, |
|
"learning_rate": 0.00027130031358735344, |
|
"loss": 2.5225, |
|
"step": 75000 |
|
}, |
|
{ |
|
"epoch": 3.24, |
|
"learning_rate": 0.0002704411701533571, |
|
"loss": 2.528, |
|
"step": 75500 |
|
}, |
|
{ |
|
"epoch": 3.26, |
|
"learning_rate": 0.0002695820267193608, |
|
"loss": 2.5187, |
|
"step": 76000 |
|
}, |
|
{ |
|
"epoch": 3.26, |
|
"eval_loss": 3.2556352615356445, |
|
"eval_runtime": 70.0453, |
|
"eval_samples_per_second": 35.691, |
|
"eval_steps_per_second": 8.923, |
|
"step": 76000 |
|
}, |
|
{ |
|
"epoch": 3.28, |
|
"learning_rate": 0.0002687228832853645, |
|
"loss": 2.5246, |
|
"step": 76500 |
|
}, |
|
{ |
|
"epoch": 3.31, |
|
"learning_rate": 0.0002678637398513682, |
|
"loss": 2.521, |
|
"step": 77000 |
|
}, |
|
{ |
|
"epoch": 3.33, |
|
"learning_rate": 0.00026700459641737186, |
|
"loss": 2.5226, |
|
"step": 77500 |
|
}, |
|
{ |
|
"epoch": 3.35, |
|
"learning_rate": 0.0002661454529833756, |
|
"loss": 2.5239, |
|
"step": 78000 |
|
}, |
|
{ |
|
"epoch": 3.37, |
|
"learning_rate": 0.0002652863095493793, |
|
"loss": 2.5243, |
|
"step": 78500 |
|
}, |
|
{ |
|
"epoch": 3.39, |
|
"learning_rate": 0.00026442716611538297, |
|
"loss": 2.5316, |
|
"step": 79000 |
|
}, |
|
{ |
|
"epoch": 3.41, |
|
"learning_rate": 0.00026356802268138666, |
|
"loss": 2.531, |
|
"step": 79500 |
|
}, |
|
{ |
|
"epoch": 3.44, |
|
"learning_rate": 0.00026270887924739034, |
|
"loss": 2.5125, |
|
"step": 80000 |
|
}, |
|
{ |
|
"epoch": 3.44, |
|
"eval_loss": 3.2571377754211426, |
|
"eval_runtime": 69.7633, |
|
"eval_samples_per_second": 35.835, |
|
"eval_steps_per_second": 8.959, |
|
"step": 80000 |
|
}, |
|
{ |
|
"epoch": 3.46, |
|
"learning_rate": 0.000261849735813394, |
|
"loss": 2.5253, |
|
"step": 80500 |
|
}, |
|
{ |
|
"epoch": 3.48, |
|
"learning_rate": 0.0002609905923793977, |
|
"loss": 2.5195, |
|
"step": 81000 |
|
}, |
|
{ |
|
"epoch": 3.5, |
|
"learning_rate": 0.00026013144894540145, |
|
"loss": 2.5314, |
|
"step": 81500 |
|
}, |
|
{ |
|
"epoch": 3.52, |
|
"learning_rate": 0.00025927230551140514, |
|
"loss": 2.5207, |
|
"step": 82000 |
|
}, |
|
{ |
|
"epoch": 3.54, |
|
"learning_rate": 0.0002584131620774088, |
|
"loss": 2.5342, |
|
"step": 82500 |
|
}, |
|
{ |
|
"epoch": 3.56, |
|
"learning_rate": 0.0002575540186434125, |
|
"loss": 2.5344, |
|
"step": 83000 |
|
}, |
|
{ |
|
"epoch": 3.59, |
|
"learning_rate": 0.00025669487520941624, |
|
"loss": 2.5287, |
|
"step": 83500 |
|
}, |
|
{ |
|
"epoch": 3.61, |
|
"learning_rate": 0.00025583573177541993, |
|
"loss": 2.5225, |
|
"step": 84000 |
|
}, |
|
{ |
|
"epoch": 3.61, |
|
"eval_loss": 3.2613072395324707, |
|
"eval_runtime": 70.5525, |
|
"eval_samples_per_second": 35.435, |
|
"eval_steps_per_second": 8.859, |
|
"step": 84000 |
|
}, |
|
{ |
|
"epoch": 3.63, |
|
"learning_rate": 0.0002549765883414236, |
|
"loss": 2.522, |
|
"step": 84500 |
|
}, |
|
{ |
|
"epoch": 3.65, |
|
"learning_rate": 0.00025411744490742735, |
|
"loss": 2.5343, |
|
"step": 85000 |
|
}, |
|
{ |
|
"epoch": 3.67, |
|
"learning_rate": 0.00025325830147343104, |
|
"loss": 2.5234, |
|
"step": 85500 |
|
}, |
|
{ |
|
"epoch": 3.69, |
|
"learning_rate": 0.0002523991580394347, |
|
"loss": 2.5293, |
|
"step": 86000 |
|
}, |
|
{ |
|
"epoch": 3.71, |
|
"learning_rate": 0.0002515400146054384, |
|
"loss": 2.527, |
|
"step": 86500 |
|
}, |
|
{ |
|
"epoch": 3.74, |
|
"learning_rate": 0.0002506808711714421, |
|
"loss": 2.5245, |
|
"step": 87000 |
|
}, |
|
{ |
|
"epoch": 3.76, |
|
"learning_rate": 0.0002498217277374458, |
|
"loss": 2.529, |
|
"step": 87500 |
|
}, |
|
{ |
|
"epoch": 3.78, |
|
"learning_rate": 0.00024896258430344946, |
|
"loss": 2.5259, |
|
"step": 88000 |
|
}, |
|
{ |
|
"epoch": 3.78, |
|
"eval_loss": 3.2457616329193115, |
|
"eval_runtime": 69.6751, |
|
"eval_samples_per_second": 35.881, |
|
"eval_steps_per_second": 8.97, |
|
"step": 88000 |
|
}, |
|
{ |
|
"epoch": 3.8, |
|
"learning_rate": 0.0002481034408694532, |
|
"loss": 2.5205, |
|
"step": 88500 |
|
}, |
|
{ |
|
"epoch": 3.82, |
|
"learning_rate": 0.0002472442974354569, |
|
"loss": 2.5183, |
|
"step": 89000 |
|
}, |
|
{ |
|
"epoch": 3.84, |
|
"learning_rate": 0.00024638515400146057, |
|
"loss": 2.5257, |
|
"step": 89500 |
|
}, |
|
{ |
|
"epoch": 3.86, |
|
"learning_rate": 0.00024552601056746426, |
|
"loss": 2.5272, |
|
"step": 90000 |
|
}, |
|
{ |
|
"epoch": 3.89, |
|
"learning_rate": 0.00024466686713346794, |
|
"loss": 2.5228, |
|
"step": 90500 |
|
}, |
|
{ |
|
"epoch": 3.91, |
|
"learning_rate": 0.00024380772369947163, |
|
"loss": 2.5306, |
|
"step": 91000 |
|
}, |
|
{ |
|
"epoch": 3.93, |
|
"learning_rate": 0.0002429485802654753, |
|
"loss": 2.5149, |
|
"step": 91500 |
|
}, |
|
{ |
|
"epoch": 3.95, |
|
"learning_rate": 0.00024208943683147905, |
|
"loss": 2.5303, |
|
"step": 92000 |
|
}, |
|
{ |
|
"epoch": 3.95, |
|
"eval_loss": 3.2447612285614014, |
|
"eval_runtime": 78.9548, |
|
"eval_samples_per_second": 31.664, |
|
"eval_steps_per_second": 7.916, |
|
"step": 92000 |
|
}, |
|
{ |
|
"epoch": 3.97, |
|
"learning_rate": 0.00024123029339748273, |
|
"loss": 2.5277, |
|
"step": 92500 |
|
}, |
|
{ |
|
"epoch": 3.99, |
|
"learning_rate": 0.00024037114996348642, |
|
"loss": 2.5204, |
|
"step": 93000 |
|
}, |
|
{ |
|
"epoch": 4.01, |
|
"learning_rate": 0.0002395120065294901, |
|
"loss": 2.5176, |
|
"step": 93500 |
|
}, |
|
{ |
|
"epoch": 4.04, |
|
"learning_rate": 0.0002386528630954938, |
|
"loss": 2.5151, |
|
"step": 94000 |
|
}, |
|
{ |
|
"epoch": 4.06, |
|
"learning_rate": 0.00023779371966149747, |
|
"loss": 2.5152, |
|
"step": 94500 |
|
}, |
|
{ |
|
"epoch": 4.08, |
|
"learning_rate": 0.0002369345762275012, |
|
"loss": 2.5124, |
|
"step": 95000 |
|
}, |
|
{ |
|
"epoch": 4.1, |
|
"learning_rate": 0.0002360754327935049, |
|
"loss": 2.5208, |
|
"step": 95500 |
|
}, |
|
{ |
|
"epoch": 4.12, |
|
"learning_rate": 0.00023521628935950858, |
|
"loss": 2.5129, |
|
"step": 96000 |
|
}, |
|
{ |
|
"epoch": 4.12, |
|
"eval_loss": 3.2467501163482666, |
|
"eval_runtime": 69.6325, |
|
"eval_samples_per_second": 35.903, |
|
"eval_steps_per_second": 8.976, |
|
"step": 96000 |
|
}, |
|
{ |
|
"epoch": 4.14, |
|
"learning_rate": 0.00023435714592551227, |
|
"loss": 2.5189, |
|
"step": 96500 |
|
}, |
|
{ |
|
"epoch": 4.17, |
|
"learning_rate": 0.00023349800249151598, |
|
"loss": 2.5064, |
|
"step": 97000 |
|
}, |
|
{ |
|
"epoch": 4.19, |
|
"learning_rate": 0.00023263885905751966, |
|
"loss": 2.5088, |
|
"step": 97500 |
|
}, |
|
{ |
|
"epoch": 4.21, |
|
"learning_rate": 0.00023177971562352335, |
|
"loss": 2.5204, |
|
"step": 98000 |
|
}, |
|
{ |
|
"epoch": 4.23, |
|
"learning_rate": 0.00023092057218952706, |
|
"loss": 2.523, |
|
"step": 98500 |
|
}, |
|
{ |
|
"epoch": 4.25, |
|
"learning_rate": 0.00023006142875553077, |
|
"loss": 2.5147, |
|
"step": 99000 |
|
}, |
|
{ |
|
"epoch": 4.27, |
|
"learning_rate": 0.00022920228532153446, |
|
"loss": 2.5034, |
|
"step": 99500 |
|
}, |
|
{ |
|
"epoch": 4.29, |
|
"learning_rate": 0.00022834314188753814, |
|
"loss": 2.5081, |
|
"step": 100000 |
|
}, |
|
{ |
|
"epoch": 4.29, |
|
"eval_loss": 3.2460429668426514, |
|
"eval_runtime": 69.2535, |
|
"eval_samples_per_second": 36.099, |
|
"eval_steps_per_second": 9.025, |
|
"step": 100000 |
|
}, |
|
{ |
|
"epoch": 4.32, |
|
"learning_rate": 0.00022748399845354183, |
|
"loss": 2.5043, |
|
"step": 100500 |
|
}, |
|
{ |
|
"epoch": 4.34, |
|
"learning_rate": 0.0002266248550195455, |
|
"loss": 2.5175, |
|
"step": 101000 |
|
}, |
|
{ |
|
"epoch": 4.36, |
|
"learning_rate": 0.0002257657115855492, |
|
"loss": 2.5049, |
|
"step": 101500 |
|
}, |
|
{ |
|
"epoch": 4.38, |
|
"learning_rate": 0.00022490656815155294, |
|
"loss": 2.5042, |
|
"step": 102000 |
|
}, |
|
{ |
|
"epoch": 4.4, |
|
"learning_rate": 0.00022404742471755662, |
|
"loss": 2.5209, |
|
"step": 102500 |
|
}, |
|
{ |
|
"epoch": 4.42, |
|
"learning_rate": 0.0002231882812835603, |
|
"loss": 2.5175, |
|
"step": 103000 |
|
}, |
|
{ |
|
"epoch": 4.44, |
|
"learning_rate": 0.000222329137849564, |
|
"loss": 2.5228, |
|
"step": 103500 |
|
}, |
|
{ |
|
"epoch": 4.47, |
|
"learning_rate": 0.00022146999441556767, |
|
"loss": 2.5198, |
|
"step": 104000 |
|
}, |
|
{ |
|
"epoch": 4.47, |
|
"eval_loss": 3.2494592666625977, |
|
"eval_runtime": 70.2669, |
|
"eval_samples_per_second": 35.579, |
|
"eval_steps_per_second": 8.895, |
|
"step": 104000 |
|
}, |
|
{ |
|
"epoch": 4.49, |
|
"learning_rate": 0.00022061085098157136, |
|
"loss": 2.5168, |
|
"step": 104500 |
|
}, |
|
{ |
|
"epoch": 4.51, |
|
"learning_rate": 0.00021975170754757507, |
|
"loss": 2.514, |
|
"step": 105000 |
|
}, |
|
{ |
|
"epoch": 4.53, |
|
"learning_rate": 0.00021889256411357878, |
|
"loss": 2.5276, |
|
"step": 105500 |
|
}, |
|
{ |
|
"epoch": 4.55, |
|
"learning_rate": 0.00021803342067958247, |
|
"loss": 2.5154, |
|
"step": 106000 |
|
}, |
|
{ |
|
"epoch": 4.57, |
|
"learning_rate": 0.00021717427724558615, |
|
"loss": 2.5151, |
|
"step": 106500 |
|
}, |
|
{ |
|
"epoch": 4.59, |
|
"learning_rate": 0.00021631513381158987, |
|
"loss": 2.5186, |
|
"step": 107000 |
|
}, |
|
{ |
|
"epoch": 4.62, |
|
"learning_rate": 0.00021545599037759355, |
|
"loss": 2.5236, |
|
"step": 107500 |
|
}, |
|
{ |
|
"epoch": 4.64, |
|
"learning_rate": 0.00021459684694359724, |
|
"loss": 2.5123, |
|
"step": 108000 |
|
}, |
|
{ |
|
"epoch": 4.64, |
|
"eval_loss": 3.2353665828704834, |
|
"eval_runtime": 69.8092, |
|
"eval_samples_per_second": 35.812, |
|
"eval_steps_per_second": 8.953, |
|
"step": 108000 |
|
}, |
|
{ |
|
"epoch": 4.66, |
|
"learning_rate": 0.00021373770350960092, |
|
"loss": 2.5078, |
|
"step": 108500 |
|
}, |
|
{ |
|
"epoch": 4.68, |
|
"learning_rate": 0.00021287856007560466, |
|
"loss": 2.5114, |
|
"step": 109000 |
|
}, |
|
{ |
|
"epoch": 4.7, |
|
"learning_rate": 0.00021201941664160834, |
|
"loss": 2.5164, |
|
"step": 109500 |
|
}, |
|
{ |
|
"epoch": 4.72, |
|
"learning_rate": 0.00021116027320761203, |
|
"loss": 2.5136, |
|
"step": 110000 |
|
}, |
|
{ |
|
"epoch": 4.74, |
|
"learning_rate": 0.0002103011297736157, |
|
"loss": 2.5181, |
|
"step": 110500 |
|
}, |
|
{ |
|
"epoch": 4.77, |
|
"learning_rate": 0.0002094419863396194, |
|
"loss": 2.5091, |
|
"step": 111000 |
|
}, |
|
{ |
|
"epoch": 4.79, |
|
"learning_rate": 0.00020858284290562308, |
|
"loss": 2.4991, |
|
"step": 111500 |
|
}, |
|
{ |
|
"epoch": 4.81, |
|
"learning_rate": 0.00020772369947162677, |
|
"loss": 2.5035, |
|
"step": 112000 |
|
}, |
|
{ |
|
"epoch": 4.81, |
|
"eval_loss": 3.242424726486206, |
|
"eval_runtime": 70.3737, |
|
"eval_samples_per_second": 35.525, |
|
"eval_steps_per_second": 8.881, |
|
"step": 112000 |
|
}, |
|
{ |
|
"epoch": 4.83, |
|
"learning_rate": 0.0002068645560376305, |
|
"loss": 2.5244, |
|
"step": 112500 |
|
}, |
|
{ |
|
"epoch": 4.85, |
|
"learning_rate": 0.0002060054126036342, |
|
"loss": 2.5139, |
|
"step": 113000 |
|
}, |
|
{ |
|
"epoch": 4.87, |
|
"learning_rate": 0.00020514626916963788, |
|
"loss": 2.5144, |
|
"step": 113500 |
|
}, |
|
{ |
|
"epoch": 4.89, |
|
"learning_rate": 0.00020428712573564156, |
|
"loss": 2.4944, |
|
"step": 114000 |
|
}, |
|
{ |
|
"epoch": 4.92, |
|
"learning_rate": 0.00020342798230164525, |
|
"loss": 2.5014, |
|
"step": 114500 |
|
}, |
|
{ |
|
"epoch": 4.94, |
|
"learning_rate": 0.00020256883886764896, |
|
"loss": 2.5067, |
|
"step": 115000 |
|
}, |
|
{ |
|
"epoch": 4.96, |
|
"learning_rate": 0.00020170969543365267, |
|
"loss": 2.5061, |
|
"step": 115500 |
|
}, |
|
{ |
|
"epoch": 4.98, |
|
"learning_rate": 0.00020085055199965636, |
|
"loss": 2.5177, |
|
"step": 116000 |
|
}, |
|
{ |
|
"epoch": 4.98, |
|
"eval_loss": 3.2430241107940674, |
|
"eval_runtime": 69.1442, |
|
"eval_samples_per_second": 36.156, |
|
"eval_steps_per_second": 9.039, |
|
"step": 116000 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 0.00019999140856566007, |
|
"loss": 2.5116, |
|
"step": 116500 |
|
}, |
|
{ |
|
"epoch": 5.02, |
|
"learning_rate": 0.00019913226513166375, |
|
"loss": 2.501, |
|
"step": 117000 |
|
}, |
|
{ |
|
"epoch": 5.05, |
|
"learning_rate": 0.00019827312169766744, |
|
"loss": 2.4926, |
|
"step": 117500 |
|
}, |
|
{ |
|
"epoch": 5.07, |
|
"learning_rate": 0.00019741397826367115, |
|
"loss": 2.4918, |
|
"step": 118000 |
|
}, |
|
{ |
|
"epoch": 5.09, |
|
"learning_rate": 0.00019655483482967483, |
|
"loss": 2.4971, |
|
"step": 118500 |
|
}, |
|
{ |
|
"epoch": 5.11, |
|
"learning_rate": 0.00019569569139567852, |
|
"loss": 2.4957, |
|
"step": 119000 |
|
}, |
|
{ |
|
"epoch": 5.13, |
|
"learning_rate": 0.0001948365479616822, |
|
"loss": 2.5049, |
|
"step": 119500 |
|
}, |
|
{ |
|
"epoch": 5.15, |
|
"learning_rate": 0.00019397740452768592, |
|
"loss": 2.4946, |
|
"step": 120000 |
|
}, |
|
{ |
|
"epoch": 5.15, |
|
"eval_loss": 3.233226776123047, |
|
"eval_runtime": 69.9335, |
|
"eval_samples_per_second": 35.748, |
|
"eval_steps_per_second": 8.937, |
|
"step": 120000 |
|
}, |
|
{ |
|
"epoch": 5.17, |
|
"learning_rate": 0.0001931182610936896, |
|
"loss": 2.5004, |
|
"step": 120500 |
|
}, |
|
{ |
|
"epoch": 5.2, |
|
"learning_rate": 0.00019225911765969328, |
|
"loss": 2.5101, |
|
"step": 121000 |
|
}, |
|
{ |
|
"epoch": 5.22, |
|
"learning_rate": 0.000191399974225697, |
|
"loss": 2.4973, |
|
"step": 121500 |
|
}, |
|
{ |
|
"epoch": 5.24, |
|
"learning_rate": 0.00019054083079170068, |
|
"loss": 2.5075, |
|
"step": 122000 |
|
}, |
|
{ |
|
"epoch": 5.26, |
|
"learning_rate": 0.00018968168735770437, |
|
"loss": 2.503, |
|
"step": 122500 |
|
}, |
|
{ |
|
"epoch": 5.28, |
|
"learning_rate": 0.00018882254392370805, |
|
"loss": 2.5034, |
|
"step": 123000 |
|
}, |
|
{ |
|
"epoch": 5.3, |
|
"learning_rate": 0.00018796340048971176, |
|
"loss": 2.5022, |
|
"step": 123500 |
|
}, |
|
{ |
|
"epoch": 5.32, |
|
"learning_rate": 0.00018710425705571545, |
|
"loss": 2.501, |
|
"step": 124000 |
|
}, |
|
{ |
|
"epoch": 5.32, |
|
"eval_loss": 3.242777109146118, |
|
"eval_runtime": 69.4476, |
|
"eval_samples_per_second": 35.998, |
|
"eval_steps_per_second": 9.0, |
|
"step": 124000 |
|
}, |
|
{ |
|
"epoch": 5.35, |
|
"learning_rate": 0.00018624511362171916, |
|
"loss": 2.5108, |
|
"step": 124500 |
|
}, |
|
{ |
|
"epoch": 5.37, |
|
"learning_rate": 0.00018538597018772284, |
|
"loss": 2.5104, |
|
"step": 125000 |
|
}, |
|
{ |
|
"epoch": 5.39, |
|
"learning_rate": 0.00018452682675372656, |
|
"loss": 2.5043, |
|
"step": 125500 |
|
}, |
|
{ |
|
"epoch": 5.41, |
|
"learning_rate": 0.00018366768331973024, |
|
"loss": 2.5205, |
|
"step": 126000 |
|
}, |
|
{ |
|
"epoch": 5.43, |
|
"learning_rate": 0.00018280853988573395, |
|
"loss": 2.4971, |
|
"step": 126500 |
|
}, |
|
{ |
|
"epoch": 5.45, |
|
"learning_rate": 0.00018194939645173764, |
|
"loss": 2.5098, |
|
"step": 127000 |
|
}, |
|
{ |
|
"epoch": 5.47, |
|
"learning_rate": 0.00018109025301774132, |
|
"loss": 2.5088, |
|
"step": 127500 |
|
}, |
|
{ |
|
"epoch": 5.5, |
|
"learning_rate": 0.000180231109583745, |
|
"loss": 2.4968, |
|
"step": 128000 |
|
}, |
|
{ |
|
"epoch": 5.5, |
|
"eval_loss": 3.2393054962158203, |
|
"eval_runtime": 70.4742, |
|
"eval_samples_per_second": 35.474, |
|
"eval_steps_per_second": 8.868, |
|
"step": 128000 |
|
}, |
|
{ |
|
"epoch": 5.52, |
|
"learning_rate": 0.00017937196614974872, |
|
"loss": 2.5051, |
|
"step": 128500 |
|
}, |
|
{ |
|
"epoch": 5.54, |
|
"learning_rate": 0.0001785128227157524, |
|
"loss": 2.5041, |
|
"step": 129000 |
|
}, |
|
{ |
|
"epoch": 5.56, |
|
"learning_rate": 0.0001776536792817561, |
|
"loss": 2.5002, |
|
"step": 129500 |
|
}, |
|
{ |
|
"epoch": 5.58, |
|
"learning_rate": 0.0001767945358477598, |
|
"loss": 2.5095, |
|
"step": 130000 |
|
}, |
|
{ |
|
"epoch": 5.6, |
|
"learning_rate": 0.0001759353924137635, |
|
"loss": 2.5044, |
|
"step": 130500 |
|
}, |
|
{ |
|
"epoch": 5.62, |
|
"learning_rate": 0.00017507624897976717, |
|
"loss": 2.508, |
|
"step": 131000 |
|
}, |
|
{ |
|
"epoch": 5.65, |
|
"learning_rate": 0.00017421710554577086, |
|
"loss": 2.5052, |
|
"step": 131500 |
|
}, |
|
{ |
|
"epoch": 5.67, |
|
"learning_rate": 0.00017335796211177457, |
|
"loss": 2.5086, |
|
"step": 132000 |
|
}, |
|
{ |
|
"epoch": 5.67, |
|
"eval_loss": 3.2350261211395264, |
|
"eval_runtime": 70.6424, |
|
"eval_samples_per_second": 35.39, |
|
"eval_steps_per_second": 8.847, |
|
"step": 132000 |
|
}, |
|
{ |
|
"epoch": 5.69, |
|
"learning_rate": 0.00017249881867777825, |
|
"loss": 2.5015, |
|
"step": 132500 |
|
}, |
|
{ |
|
"epoch": 5.71, |
|
"learning_rate": 0.00017163967524378194, |
|
"loss": 2.5, |
|
"step": 133000 |
|
}, |
|
{ |
|
"epoch": 5.73, |
|
"learning_rate": 0.00017078053180978565, |
|
"loss": 2.5026, |
|
"step": 133500 |
|
}, |
|
{ |
|
"epoch": 5.75, |
|
"learning_rate": 0.00016992138837578933, |
|
"loss": 2.4933, |
|
"step": 134000 |
|
}, |
|
{ |
|
"epoch": 5.78, |
|
"learning_rate": 0.00016906224494179305, |
|
"loss": 2.5079, |
|
"step": 134500 |
|
}, |
|
{ |
|
"epoch": 5.8, |
|
"learning_rate": 0.00016820310150779676, |
|
"loss": 2.4959, |
|
"step": 135000 |
|
}, |
|
{ |
|
"epoch": 5.82, |
|
"learning_rate": 0.00016734395807380044, |
|
"loss": 2.5109, |
|
"step": 135500 |
|
}, |
|
{ |
|
"epoch": 5.84, |
|
"learning_rate": 0.00016648481463980413, |
|
"loss": 2.5091, |
|
"step": 136000 |
|
}, |
|
{ |
|
"epoch": 5.84, |
|
"eval_loss": 3.2328109741210938, |
|
"eval_runtime": 70.9654, |
|
"eval_samples_per_second": 35.228, |
|
"eval_steps_per_second": 8.807, |
|
"step": 136000 |
|
}, |
|
{ |
|
"epoch": 5.86, |
|
"learning_rate": 0.0001656256712058078, |
|
"loss": 2.4965, |
|
"step": 136500 |
|
}, |
|
{ |
|
"epoch": 5.88, |
|
"learning_rate": 0.00016476652777181152, |
|
"loss": 2.509, |
|
"step": 137000 |
|
}, |
|
{ |
|
"epoch": 5.9, |
|
"learning_rate": 0.0001639073843378152, |
|
"loss": 2.5055, |
|
"step": 137500 |
|
}, |
|
{ |
|
"epoch": 5.93, |
|
"learning_rate": 0.0001630482409038189, |
|
"loss": 2.5145, |
|
"step": 138000 |
|
}, |
|
{ |
|
"epoch": 5.95, |
|
"learning_rate": 0.0001621890974698226, |
|
"loss": 2.5099, |
|
"step": 138500 |
|
}, |
|
{ |
|
"epoch": 5.97, |
|
"learning_rate": 0.0001613299540358263, |
|
"loss": 2.497, |
|
"step": 139000 |
|
}, |
|
{ |
|
"epoch": 5.99, |
|
"learning_rate": 0.00016047081060182998, |
|
"loss": 2.4981, |
|
"step": 139500 |
|
}, |
|
{ |
|
"epoch": 6.01, |
|
"learning_rate": 0.00015961166716783366, |
|
"loss": 2.4972, |
|
"step": 140000 |
|
}, |
|
{ |
|
"epoch": 6.01, |
|
"eval_loss": 3.2302370071411133, |
|
"eval_runtime": 71.0669, |
|
"eval_samples_per_second": 35.178, |
|
"eval_steps_per_second": 8.795, |
|
"step": 140000 |
|
}, |
|
{ |
|
"epoch": 6.03, |
|
"learning_rate": 0.00015875252373383737, |
|
"loss": 2.4869, |
|
"step": 140500 |
|
}, |
|
{ |
|
"epoch": 6.05, |
|
"learning_rate": 0.00015789338029984106, |
|
"loss": 2.5036, |
|
"step": 141000 |
|
}, |
|
{ |
|
"epoch": 6.08, |
|
"learning_rate": 0.00015703423686584474, |
|
"loss": 2.4872, |
|
"step": 141500 |
|
}, |
|
{ |
|
"epoch": 6.1, |
|
"learning_rate": 0.00015617509343184845, |
|
"loss": 2.4802, |
|
"step": 142000 |
|
}, |
|
{ |
|
"epoch": 6.12, |
|
"learning_rate": 0.00015531594999785214, |
|
"loss": 2.4812, |
|
"step": 142500 |
|
}, |
|
{ |
|
"epoch": 6.14, |
|
"learning_rate": 0.00015445680656385585, |
|
"loss": 2.486, |
|
"step": 143000 |
|
}, |
|
{ |
|
"epoch": 6.16, |
|
"learning_rate": 0.00015359766312985954, |
|
"loss": 2.5004, |
|
"step": 143500 |
|
}, |
|
{ |
|
"epoch": 6.18, |
|
"learning_rate": 0.00015273851969586325, |
|
"loss": 2.496, |
|
"step": 144000 |
|
}, |
|
{ |
|
"epoch": 6.18, |
|
"eval_loss": 3.224409341812134, |
|
"eval_runtime": 69.085, |
|
"eval_samples_per_second": 36.187, |
|
"eval_steps_per_second": 9.047, |
|
"step": 144000 |
|
}, |
|
{ |
|
"epoch": 6.2, |
|
"learning_rate": 0.00015187937626186693, |
|
"loss": 2.4869, |
|
"step": 144500 |
|
}, |
|
{ |
|
"epoch": 6.23, |
|
"learning_rate": 0.00015102023282787062, |
|
"loss": 2.5018, |
|
"step": 145000 |
|
}, |
|
{ |
|
"epoch": 6.25, |
|
"learning_rate": 0.00015016108939387433, |
|
"loss": 2.5033, |
|
"step": 145500 |
|
}, |
|
{ |
|
"epoch": 6.27, |
|
"learning_rate": 0.00014930194595987801, |
|
"loss": 2.4944, |
|
"step": 146000 |
|
}, |
|
{ |
|
"epoch": 6.29, |
|
"learning_rate": 0.0001484428025258817, |
|
"loss": 2.4889, |
|
"step": 146500 |
|
}, |
|
{ |
|
"epoch": 6.31, |
|
"learning_rate": 0.0001475836590918854, |
|
"loss": 2.4913, |
|
"step": 147000 |
|
}, |
|
{ |
|
"epoch": 6.33, |
|
"learning_rate": 0.0001467245156578891, |
|
"loss": 2.5018, |
|
"step": 147500 |
|
}, |
|
{ |
|
"epoch": 6.35, |
|
"learning_rate": 0.00014586537222389278, |
|
"loss": 2.4943, |
|
"step": 148000 |
|
}, |
|
{ |
|
"epoch": 6.35, |
|
"eval_loss": 3.2242684364318848, |
|
"eval_runtime": 70.9743, |
|
"eval_samples_per_second": 35.224, |
|
"eval_steps_per_second": 8.806, |
|
"step": 148000 |
|
}, |
|
{ |
|
"epoch": 6.38, |
|
"learning_rate": 0.00014500622878989647, |
|
"loss": 2.5, |
|
"step": 148500 |
|
}, |
|
{ |
|
"epoch": 6.4, |
|
"learning_rate": 0.00014414708535590018, |
|
"loss": 2.4994, |
|
"step": 149000 |
|
}, |
|
{ |
|
"epoch": 6.42, |
|
"learning_rate": 0.00014328794192190386, |
|
"loss": 2.4986, |
|
"step": 149500 |
|
}, |
|
{ |
|
"epoch": 6.44, |
|
"learning_rate": 0.00014242879848790755, |
|
"loss": 2.4934, |
|
"step": 150000 |
|
}, |
|
{ |
|
"epoch": 6.46, |
|
"learning_rate": 0.00014156965505391126, |
|
"loss": 2.4887, |
|
"step": 150500 |
|
}, |
|
{ |
|
"epoch": 6.48, |
|
"learning_rate": 0.00014071051161991494, |
|
"loss": 2.4922, |
|
"step": 151000 |
|
}, |
|
{ |
|
"epoch": 6.51, |
|
"learning_rate": 0.00013985136818591863, |
|
"loss": 2.4943, |
|
"step": 151500 |
|
}, |
|
{ |
|
"epoch": 6.53, |
|
"learning_rate": 0.00013899222475192234, |
|
"loss": 2.491, |
|
"step": 152000 |
|
}, |
|
{ |
|
"epoch": 6.53, |
|
"eval_loss": 3.220249652862549, |
|
"eval_runtime": 70.6987, |
|
"eval_samples_per_second": 35.361, |
|
"eval_steps_per_second": 8.84, |
|
"step": 152000 |
|
}, |
|
{ |
|
"epoch": 6.55, |
|
"learning_rate": 0.00013813308131792603, |
|
"loss": 2.4967, |
|
"step": 152500 |
|
}, |
|
{ |
|
"epoch": 6.57, |
|
"learning_rate": 0.00013727393788392974, |
|
"loss": 2.4959, |
|
"step": 153000 |
|
}, |
|
{ |
|
"epoch": 6.59, |
|
"learning_rate": 0.00013641479444993342, |
|
"loss": 2.4777, |
|
"step": 153500 |
|
}, |
|
{ |
|
"epoch": 6.61, |
|
"learning_rate": 0.00013555565101593713, |
|
"loss": 2.4931, |
|
"step": 154000 |
|
}, |
|
{ |
|
"epoch": 6.63, |
|
"learning_rate": 0.00013469650758194082, |
|
"loss": 2.497, |
|
"step": 154500 |
|
}, |
|
{ |
|
"epoch": 6.66, |
|
"learning_rate": 0.0001338373641479445, |
|
"loss": 2.4964, |
|
"step": 155000 |
|
}, |
|
{ |
|
"epoch": 6.68, |
|
"learning_rate": 0.00013297822071394822, |
|
"loss": 2.4959, |
|
"step": 155500 |
|
}, |
|
{ |
|
"epoch": 6.7, |
|
"learning_rate": 0.0001321190772799519, |
|
"loss": 2.4913, |
|
"step": 156000 |
|
}, |
|
{ |
|
"epoch": 6.7, |
|
"eval_loss": 3.2231602668762207, |
|
"eval_runtime": 70.5445, |
|
"eval_samples_per_second": 35.439, |
|
"eval_steps_per_second": 8.86, |
|
"step": 156000 |
|
}, |
|
{ |
|
"epoch": 6.72, |
|
"learning_rate": 0.00013125993384595559, |
|
"loss": 2.4955, |
|
"step": 156500 |
|
}, |
|
{ |
|
"epoch": 6.74, |
|
"learning_rate": 0.00013040079041195927, |
|
"loss": 2.4916, |
|
"step": 157000 |
|
}, |
|
{ |
|
"epoch": 6.76, |
|
"learning_rate": 0.00012954164697796298, |
|
"loss": 2.4898, |
|
"step": 157500 |
|
}, |
|
{ |
|
"epoch": 6.78, |
|
"learning_rate": 0.00012868250354396667, |
|
"loss": 2.5014, |
|
"step": 158000 |
|
}, |
|
{ |
|
"epoch": 6.81, |
|
"learning_rate": 0.00012782336010997035, |
|
"loss": 2.4953, |
|
"step": 158500 |
|
}, |
|
{ |
|
"epoch": 6.83, |
|
"learning_rate": 0.00012696421667597406, |
|
"loss": 2.5013, |
|
"step": 159000 |
|
}, |
|
{ |
|
"epoch": 6.85, |
|
"learning_rate": 0.00012610507324197775, |
|
"loss": 2.5066, |
|
"step": 159500 |
|
}, |
|
{ |
|
"epoch": 6.87, |
|
"learning_rate": 0.00012524592980798143, |
|
"loss": 2.4968, |
|
"step": 160000 |
|
}, |
|
{ |
|
"epoch": 6.87, |
|
"eval_loss": 3.2243635654449463, |
|
"eval_runtime": 70.4612, |
|
"eval_samples_per_second": 35.481, |
|
"eval_steps_per_second": 8.87, |
|
"step": 160000 |
|
}, |
|
{ |
|
"epoch": 6.89, |
|
"learning_rate": 0.00012438678637398515, |
|
"loss": 2.5027, |
|
"step": 160500 |
|
}, |
|
{ |
|
"epoch": 6.91, |
|
"learning_rate": 0.00012352764293998883, |
|
"loss": 2.4855, |
|
"step": 161000 |
|
}, |
|
{ |
|
"epoch": 6.93, |
|
"learning_rate": 0.00012266849950599252, |
|
"loss": 2.4915, |
|
"step": 161500 |
|
}, |
|
{ |
|
"epoch": 6.96, |
|
"learning_rate": 0.00012180935607199621, |
|
"loss": 2.5066, |
|
"step": 162000 |
|
}, |
|
{ |
|
"epoch": 6.98, |
|
"learning_rate": 0.00012095021263799993, |
|
"loss": 2.4947, |
|
"step": 162500 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"learning_rate": 0.00012009106920400361, |
|
"loss": 2.4971, |
|
"step": 163000 |
|
}, |
|
{ |
|
"epoch": 7.02, |
|
"learning_rate": 0.0001192319257700073, |
|
"loss": 2.4976, |
|
"step": 163500 |
|
}, |
|
{ |
|
"epoch": 7.04, |
|
"learning_rate": 0.00011837278233601101, |
|
"loss": 2.4854, |
|
"step": 164000 |
|
}, |
|
{ |
|
"epoch": 7.04, |
|
"eval_loss": 3.2264649868011475, |
|
"eval_runtime": 69.9835, |
|
"eval_samples_per_second": 35.723, |
|
"eval_steps_per_second": 8.931, |
|
"step": 164000 |
|
}, |
|
{ |
|
"epoch": 7.06, |
|
"learning_rate": 0.0001175136389020147, |
|
"loss": 2.4712, |
|
"step": 164500 |
|
}, |
|
{ |
|
"epoch": 7.08, |
|
"learning_rate": 0.00011665449546801839, |
|
"loss": 2.4761, |
|
"step": 165000 |
|
}, |
|
{ |
|
"epoch": 7.11, |
|
"learning_rate": 0.00011579535203402208, |
|
"loss": 2.4873, |
|
"step": 165500 |
|
}, |
|
{ |
|
"epoch": 7.13, |
|
"learning_rate": 0.00011493620860002579, |
|
"loss": 2.4862, |
|
"step": 166000 |
|
}, |
|
{ |
|
"epoch": 7.15, |
|
"learning_rate": 0.00011407706516602947, |
|
"loss": 2.4801, |
|
"step": 166500 |
|
}, |
|
{ |
|
"epoch": 7.17, |
|
"learning_rate": 0.00011321792173203316, |
|
"loss": 2.4785, |
|
"step": 167000 |
|
}, |
|
{ |
|
"epoch": 7.19, |
|
"learning_rate": 0.00011235877829803687, |
|
"loss": 2.4861, |
|
"step": 167500 |
|
}, |
|
{ |
|
"epoch": 7.21, |
|
"learning_rate": 0.00011149963486404055, |
|
"loss": 2.4865, |
|
"step": 168000 |
|
}, |
|
{ |
|
"epoch": 7.21, |
|
"eval_loss": 3.221519947052002, |
|
"eval_runtime": 70.7932, |
|
"eval_samples_per_second": 35.314, |
|
"eval_steps_per_second": 8.829, |
|
"step": 168000 |
|
}, |
|
{ |
|
"epoch": 7.24, |
|
"learning_rate": 0.00011064049143004425, |
|
"loss": 2.4908, |
|
"step": 168500 |
|
}, |
|
{ |
|
"epoch": 7.26, |
|
"learning_rate": 0.00010978134799604795, |
|
"loss": 2.4814, |
|
"step": 169000 |
|
}, |
|
{ |
|
"epoch": 7.28, |
|
"learning_rate": 0.00010892220456205165, |
|
"loss": 2.4759, |
|
"step": 169500 |
|
}, |
|
{ |
|
"epoch": 7.3, |
|
"learning_rate": 0.00010806306112805533, |
|
"loss": 2.495, |
|
"step": 170000 |
|
}, |
|
{ |
|
"epoch": 7.32, |
|
"learning_rate": 0.00010720391769405902, |
|
"loss": 2.4837, |
|
"step": 170500 |
|
}, |
|
{ |
|
"epoch": 7.34, |
|
"learning_rate": 0.00010634477426006273, |
|
"loss": 2.4946, |
|
"step": 171000 |
|
}, |
|
{ |
|
"epoch": 7.36, |
|
"learning_rate": 0.00010548563082606642, |
|
"loss": 2.4762, |
|
"step": 171500 |
|
}, |
|
{ |
|
"epoch": 7.39, |
|
"learning_rate": 0.0001046264873920701, |
|
"loss": 2.4854, |
|
"step": 172000 |
|
}, |
|
{ |
|
"epoch": 7.39, |
|
"eval_loss": 3.220597982406616, |
|
"eval_runtime": 69.1381, |
|
"eval_samples_per_second": 36.159, |
|
"eval_steps_per_second": 9.04, |
|
"step": 172000 |
|
}, |
|
{ |
|
"epoch": 7.41, |
|
"learning_rate": 0.00010376734395807381, |
|
"loss": 2.4899, |
|
"step": 172500 |
|
}, |
|
{ |
|
"epoch": 7.43, |
|
"learning_rate": 0.0001029082005240775, |
|
"loss": 2.486, |
|
"step": 173000 |
|
}, |
|
{ |
|
"epoch": 7.45, |
|
"learning_rate": 0.0001020490570900812, |
|
"loss": 2.4792, |
|
"step": 173500 |
|
}, |
|
{ |
|
"epoch": 7.47, |
|
"learning_rate": 0.00010118991365608488, |
|
"loss": 2.4907, |
|
"step": 174000 |
|
}, |
|
{ |
|
"epoch": 7.49, |
|
"learning_rate": 0.00010033077022208859, |
|
"loss": 2.486, |
|
"step": 174500 |
|
}, |
|
{ |
|
"epoch": 7.51, |
|
"learning_rate": 9.947162678809228e-05, |
|
"loss": 2.4801, |
|
"step": 175000 |
|
}, |
|
{ |
|
"epoch": 7.54, |
|
"learning_rate": 9.861248335409598e-05, |
|
"loss": 2.4931, |
|
"step": 175500 |
|
}, |
|
{ |
|
"epoch": 7.56, |
|
"learning_rate": 9.775333992009966e-05, |
|
"loss": 2.4853, |
|
"step": 176000 |
|
}, |
|
{ |
|
"epoch": 7.56, |
|
"eval_loss": 3.2134642601013184, |
|
"eval_runtime": 70.239, |
|
"eval_samples_per_second": 35.593, |
|
"eval_steps_per_second": 8.898, |
|
"step": 176000 |
|
}, |
|
{ |
|
"epoch": 7.58, |
|
"learning_rate": 9.689419648610336e-05, |
|
"loss": 2.4821, |
|
"step": 176500 |
|
}, |
|
{ |
|
"epoch": 7.6, |
|
"learning_rate": 9.603505305210704e-05, |
|
"loss": 2.4801, |
|
"step": 177000 |
|
}, |
|
{ |
|
"epoch": 7.62, |
|
"learning_rate": 9.517590961811074e-05, |
|
"loss": 2.4888, |
|
"step": 177500 |
|
}, |
|
{ |
|
"epoch": 7.64, |
|
"learning_rate": 9.431676618411444e-05, |
|
"loss": 2.4847, |
|
"step": 178000 |
|
}, |
|
{ |
|
"epoch": 7.66, |
|
"learning_rate": 9.345762275011814e-05, |
|
"loss": 2.4929, |
|
"step": 178500 |
|
}, |
|
{ |
|
"epoch": 7.69, |
|
"learning_rate": 9.259847931612184e-05, |
|
"loss": 2.4911, |
|
"step": 179000 |
|
}, |
|
{ |
|
"epoch": 7.71, |
|
"learning_rate": 9.173933588212552e-05, |
|
"loss": 2.4881, |
|
"step": 179500 |
|
}, |
|
{ |
|
"epoch": 7.73, |
|
"learning_rate": 9.088019244812922e-05, |
|
"loss": 2.4894, |
|
"step": 180000 |
|
}, |
|
{ |
|
"epoch": 7.73, |
|
"eval_loss": 3.2165322303771973, |
|
"eval_runtime": 70.2927, |
|
"eval_samples_per_second": 35.566, |
|
"eval_steps_per_second": 8.891, |
|
"step": 180000 |
|
}, |
|
{ |
|
"epoch": 7.75, |
|
"learning_rate": 9.002104901413292e-05, |
|
"loss": 2.4906, |
|
"step": 180500 |
|
}, |
|
{ |
|
"epoch": 7.77, |
|
"learning_rate": 8.91619055801366e-05, |
|
"loss": 2.4783, |
|
"step": 181000 |
|
}, |
|
{ |
|
"epoch": 7.79, |
|
"learning_rate": 8.83027621461403e-05, |
|
"loss": 2.4734, |
|
"step": 181500 |
|
}, |
|
{ |
|
"epoch": 7.81, |
|
"learning_rate": 8.744361871214399e-05, |
|
"loss": 2.4803, |
|
"step": 182000 |
|
}, |
|
{ |
|
"epoch": 7.84, |
|
"learning_rate": 8.658447527814769e-05, |
|
"loss": 2.489, |
|
"step": 182500 |
|
}, |
|
{ |
|
"epoch": 7.86, |
|
"learning_rate": 8.572533184415138e-05, |
|
"loss": 2.4844, |
|
"step": 183000 |
|
}, |
|
{ |
|
"epoch": 7.88, |
|
"learning_rate": 8.486618841015508e-05, |
|
"loss": 2.4934, |
|
"step": 183500 |
|
}, |
|
{ |
|
"epoch": 7.9, |
|
"learning_rate": 8.400704497615878e-05, |
|
"loss": 2.4811, |
|
"step": 184000 |
|
}, |
|
{ |
|
"epoch": 7.9, |
|
"eval_loss": 3.214756727218628, |
|
"eval_runtime": 70.5306, |
|
"eval_samples_per_second": 35.446, |
|
"eval_steps_per_second": 8.861, |
|
"step": 184000 |
|
}, |
|
{ |
|
"epoch": 7.92, |
|
"learning_rate": 8.314790154216247e-05, |
|
"loss": 2.4828, |
|
"step": 184500 |
|
}, |
|
{ |
|
"epoch": 7.94, |
|
"learning_rate": 8.228875810816616e-05, |
|
"loss": 2.4778, |
|
"step": 185000 |
|
}, |
|
{ |
|
"epoch": 7.97, |
|
"learning_rate": 8.142961467416985e-05, |
|
"loss": 2.4866, |
|
"step": 185500 |
|
}, |
|
{ |
|
"epoch": 7.99, |
|
"learning_rate": 8.057047124017355e-05, |
|
"loss": 2.4847, |
|
"step": 186000 |
|
}, |
|
{ |
|
"epoch": 8.01, |
|
"learning_rate": 7.971132780617725e-05, |
|
"loss": 2.4715, |
|
"step": 186500 |
|
}, |
|
{ |
|
"epoch": 8.03, |
|
"learning_rate": 7.885218437218093e-05, |
|
"loss": 2.4782, |
|
"step": 187000 |
|
}, |
|
{ |
|
"epoch": 8.05, |
|
"learning_rate": 7.799304093818464e-05, |
|
"loss": 2.4781, |
|
"step": 187500 |
|
}, |
|
{ |
|
"epoch": 8.07, |
|
"learning_rate": 7.713389750418833e-05, |
|
"loss": 2.4789, |
|
"step": 188000 |
|
}, |
|
{ |
|
"epoch": 8.07, |
|
"eval_loss": 3.2158737182617188, |
|
"eval_runtime": 71.443, |
|
"eval_samples_per_second": 34.993, |
|
"eval_steps_per_second": 8.748, |
|
"step": 188000 |
|
}, |
|
{ |
|
"epoch": 8.09, |
|
"learning_rate": 7.627475407019203e-05, |
|
"loss": 2.4867, |
|
"step": 188500 |
|
}, |
|
{ |
|
"epoch": 8.12, |
|
"learning_rate": 7.541561063619572e-05, |
|
"loss": 2.4799, |
|
"step": 189000 |
|
}, |
|
{ |
|
"epoch": 8.14, |
|
"learning_rate": 7.455646720219941e-05, |
|
"loss": 2.4779, |
|
"step": 189500 |
|
}, |
|
{ |
|
"epoch": 8.16, |
|
"learning_rate": 7.369732376820311e-05, |
|
"loss": 2.4703, |
|
"step": 190000 |
|
}, |
|
{ |
|
"epoch": 8.18, |
|
"learning_rate": 7.283818033420679e-05, |
|
"loss": 2.4715, |
|
"step": 190500 |
|
}, |
|
{ |
|
"epoch": 8.2, |
|
"learning_rate": 7.197903690021049e-05, |
|
"loss": 2.4754, |
|
"step": 191000 |
|
}, |
|
{ |
|
"epoch": 8.22, |
|
"learning_rate": 7.111989346621419e-05, |
|
"loss": 2.4819, |
|
"step": 191500 |
|
}, |
|
{ |
|
"epoch": 8.24, |
|
"learning_rate": 7.026075003221789e-05, |
|
"loss": 2.4768, |
|
"step": 192000 |
|
}, |
|
{ |
|
"epoch": 8.24, |
|
"eval_loss": 3.2115867137908936, |
|
"eval_runtime": 70.9666, |
|
"eval_samples_per_second": 35.228, |
|
"eval_steps_per_second": 8.807, |
|
"step": 192000 |
|
}, |
|
{ |
|
"epoch": 8.27, |
|
"learning_rate": 6.940160659822159e-05, |
|
"loss": 2.4697, |
|
"step": 192500 |
|
}, |
|
{ |
|
"epoch": 8.29, |
|
"learning_rate": 6.854246316422527e-05, |
|
"loss": 2.4843, |
|
"step": 193000 |
|
}, |
|
{ |
|
"epoch": 8.31, |
|
"learning_rate": 6.768331973022897e-05, |
|
"loss": 2.484, |
|
"step": 193500 |
|
}, |
|
{ |
|
"epoch": 8.33, |
|
"learning_rate": 6.682417629623265e-05, |
|
"loss": 2.4753, |
|
"step": 194000 |
|
}, |
|
{ |
|
"epoch": 8.35, |
|
"learning_rate": 6.596503286223635e-05, |
|
"loss": 2.4827, |
|
"step": 194500 |
|
}, |
|
{ |
|
"epoch": 8.37, |
|
"learning_rate": 6.510588942824005e-05, |
|
"loss": 2.4798, |
|
"step": 195000 |
|
}, |
|
{ |
|
"epoch": 8.39, |
|
"learning_rate": 6.424674599424374e-05, |
|
"loss": 2.4785, |
|
"step": 195500 |
|
}, |
|
{ |
|
"epoch": 8.42, |
|
"learning_rate": 6.338760256024743e-05, |
|
"loss": 2.4832, |
|
"step": 196000 |
|
}, |
|
{ |
|
"epoch": 8.42, |
|
"eval_loss": 3.2087242603302, |
|
"eval_runtime": 70.623, |
|
"eval_samples_per_second": 35.399, |
|
"eval_steps_per_second": 8.85, |
|
"step": 196000 |
|
}, |
|
{ |
|
"epoch": 8.44, |
|
"learning_rate": 6.252845912625113e-05, |
|
"loss": 2.4944, |
|
"step": 196500 |
|
}, |
|
{ |
|
"epoch": 8.46, |
|
"learning_rate": 6.166931569225483e-05, |
|
"loss": 2.4881, |
|
"step": 197000 |
|
}, |
|
{ |
|
"epoch": 8.48, |
|
"learning_rate": 6.081017225825852e-05, |
|
"loss": 2.4742, |
|
"step": 197500 |
|
}, |
|
{ |
|
"epoch": 8.5, |
|
"learning_rate": 5.9951028824262214e-05, |
|
"loss": 2.478, |
|
"step": 198000 |
|
}, |
|
{ |
|
"epoch": 8.52, |
|
"learning_rate": 5.909188539026591e-05, |
|
"loss": 2.4703, |
|
"step": 198500 |
|
}, |
|
{ |
|
"epoch": 8.54, |
|
"learning_rate": 5.82327419562696e-05, |
|
"loss": 2.479, |
|
"step": 199000 |
|
}, |
|
{ |
|
"epoch": 8.57, |
|
"learning_rate": 5.7373598522273295e-05, |
|
"loss": 2.4808, |
|
"step": 199500 |
|
}, |
|
{ |
|
"epoch": 8.59, |
|
"learning_rate": 5.651445508827699e-05, |
|
"loss": 2.4774, |
|
"step": 200000 |
|
}, |
|
{ |
|
"epoch": 8.59, |
|
"eval_loss": 3.211932420730591, |
|
"eval_runtime": 70.6236, |
|
"eval_samples_per_second": 35.399, |
|
"eval_steps_per_second": 8.85, |
|
"step": 200000 |
|
}, |
|
{ |
|
"epoch": 8.61, |
|
"learning_rate": 5.5655311654280685e-05, |
|
"loss": 2.4699, |
|
"step": 200500 |
|
}, |
|
{ |
|
"epoch": 8.63, |
|
"learning_rate": 5.4796168220284384e-05, |
|
"loss": 2.4727, |
|
"step": 201000 |
|
}, |
|
{ |
|
"epoch": 8.65, |
|
"learning_rate": 5.393702478628807e-05, |
|
"loss": 2.4784, |
|
"step": 201500 |
|
}, |
|
{ |
|
"epoch": 8.67, |
|
"learning_rate": 5.307788135229177e-05, |
|
"loss": 2.4695, |
|
"step": 202000 |
|
}, |
|
{ |
|
"epoch": 8.7, |
|
"learning_rate": 5.221873791829546e-05, |
|
"loss": 2.4829, |
|
"step": 202500 |
|
}, |
|
{ |
|
"epoch": 8.72, |
|
"learning_rate": 5.135959448429916e-05, |
|
"loss": 2.4752, |
|
"step": 203000 |
|
}, |
|
{ |
|
"epoch": 8.74, |
|
"learning_rate": 5.0500451050302855e-05, |
|
"loss": 2.4781, |
|
"step": 203500 |
|
}, |
|
{ |
|
"epoch": 8.76, |
|
"learning_rate": 4.964130761630654e-05, |
|
"loss": 2.4748, |
|
"step": 204000 |
|
}, |
|
{ |
|
"epoch": 8.76, |
|
"eval_loss": 3.210552453994751, |
|
"eval_runtime": 69.9859, |
|
"eval_samples_per_second": 35.721, |
|
"eval_steps_per_second": 8.93, |
|
"step": 204000 |
|
}, |
|
{ |
|
"epoch": 8.78, |
|
"learning_rate": 4.878216418231024e-05, |
|
"loss": 2.474, |
|
"step": 204500 |
|
}, |
|
{ |
|
"epoch": 8.8, |
|
"learning_rate": 4.792302074831394e-05, |
|
"loss": 2.463, |
|
"step": 205000 |
|
}, |
|
{ |
|
"epoch": 8.82, |
|
"learning_rate": 4.706387731431763e-05, |
|
"loss": 2.4736, |
|
"step": 205500 |
|
}, |
|
{ |
|
"epoch": 8.85, |
|
"learning_rate": 4.620473388032132e-05, |
|
"loss": 2.4883, |
|
"step": 206000 |
|
}, |
|
{ |
|
"epoch": 8.87, |
|
"learning_rate": 4.534559044632501e-05, |
|
"loss": 2.4745, |
|
"step": 206500 |
|
}, |
|
{ |
|
"epoch": 8.89, |
|
"learning_rate": 4.448644701232871e-05, |
|
"loss": 2.4775, |
|
"step": 207000 |
|
}, |
|
{ |
|
"epoch": 8.91, |
|
"learning_rate": 4.362730357833241e-05, |
|
"loss": 2.4785, |
|
"step": 207500 |
|
}, |
|
{ |
|
"epoch": 8.93, |
|
"learning_rate": 4.27681601443361e-05, |
|
"loss": 2.472, |
|
"step": 208000 |
|
}, |
|
{ |
|
"epoch": 8.93, |
|
"eval_loss": 3.2094578742980957, |
|
"eval_runtime": 70.3513, |
|
"eval_samples_per_second": 35.536, |
|
"eval_steps_per_second": 8.884, |
|
"step": 208000 |
|
}, |
|
{ |
|
"epoch": 8.95, |
|
"learning_rate": 4.190901671033979e-05, |
|
"loss": 2.4694, |
|
"step": 208500 |
|
}, |
|
{ |
|
"epoch": 8.97, |
|
"learning_rate": 4.1049873276343484e-05, |
|
"loss": 2.4754, |
|
"step": 209000 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"learning_rate": 4.019072984234718e-05, |
|
"loss": 2.4789, |
|
"step": 209500 |
|
}, |
|
{ |
|
"epoch": 9.02, |
|
"learning_rate": 3.9331586408350874e-05, |
|
"loss": 2.4632, |
|
"step": 210000 |
|
}, |
|
{ |
|
"epoch": 9.04, |
|
"learning_rate": 3.847244297435457e-05, |
|
"loss": 2.4676, |
|
"step": 210500 |
|
}, |
|
{ |
|
"epoch": 9.06, |
|
"learning_rate": 3.7613299540358264e-05, |
|
"loss": 2.4675, |
|
"step": 211000 |
|
}, |
|
{ |
|
"epoch": 9.08, |
|
"learning_rate": 3.675415610636196e-05, |
|
"loss": 2.4588, |
|
"step": 211500 |
|
}, |
|
{ |
|
"epoch": 9.1, |
|
"learning_rate": 3.5895012672365654e-05, |
|
"loss": 2.4749, |
|
"step": 212000 |
|
}, |
|
{ |
|
"epoch": 9.1, |
|
"eval_loss": 3.204545497894287, |
|
"eval_runtime": 69.8241, |
|
"eval_samples_per_second": 35.804, |
|
"eval_steps_per_second": 8.951, |
|
"step": 212000 |
|
}, |
|
{ |
|
"epoch": 9.12, |
|
"learning_rate": 3.5035869238369345e-05, |
|
"loss": 2.4771, |
|
"step": 212500 |
|
}, |
|
{ |
|
"epoch": 9.15, |
|
"learning_rate": 3.4176725804373044e-05, |
|
"loss": 2.4606, |
|
"step": 213000 |
|
}, |
|
{ |
|
"epoch": 9.17, |
|
"learning_rate": 3.3317582370376735e-05, |
|
"loss": 2.4672, |
|
"step": 213500 |
|
}, |
|
{ |
|
"epoch": 9.19, |
|
"learning_rate": 3.2458438936380434e-05, |
|
"loss": 2.4725, |
|
"step": 214000 |
|
}, |
|
{ |
|
"epoch": 9.21, |
|
"learning_rate": 3.1599295502384125e-05, |
|
"loss": 2.4669, |
|
"step": 214500 |
|
}, |
|
{ |
|
"epoch": 9.23, |
|
"learning_rate": 3.074015206838782e-05, |
|
"loss": 2.4674, |
|
"step": 215000 |
|
}, |
|
{ |
|
"epoch": 9.25, |
|
"learning_rate": 2.9881008634391512e-05, |
|
"loss": 2.4661, |
|
"step": 215500 |
|
}, |
|
{ |
|
"epoch": 9.27, |
|
"learning_rate": 2.902186520039521e-05, |
|
"loss": 2.4722, |
|
"step": 216000 |
|
}, |
|
{ |
|
"epoch": 9.27, |
|
"eval_loss": 3.2078707218170166, |
|
"eval_runtime": 69.832, |
|
"eval_samples_per_second": 35.8, |
|
"eval_steps_per_second": 8.95, |
|
"step": 216000 |
|
}, |
|
{ |
|
"epoch": 9.3, |
|
"learning_rate": 2.8162721766398902e-05, |
|
"loss": 2.474, |
|
"step": 216500 |
|
}, |
|
{ |
|
"epoch": 9.32, |
|
"learning_rate": 2.7303578332402597e-05, |
|
"loss": 2.4714, |
|
"step": 217000 |
|
}, |
|
{ |
|
"epoch": 9.34, |
|
"learning_rate": 2.644443489840629e-05, |
|
"loss": 2.465, |
|
"step": 217500 |
|
}, |
|
{ |
|
"epoch": 9.36, |
|
"learning_rate": 2.5585291464409983e-05, |
|
"loss": 2.4691, |
|
"step": 218000 |
|
}, |
|
{ |
|
"epoch": 9.38, |
|
"learning_rate": 2.472614803041368e-05, |
|
"loss": 2.4803, |
|
"step": 218500 |
|
}, |
|
{ |
|
"epoch": 9.4, |
|
"learning_rate": 2.3867004596417373e-05, |
|
"loss": 2.4742, |
|
"step": 219000 |
|
}, |
|
{ |
|
"epoch": 9.42, |
|
"learning_rate": 2.300786116242107e-05, |
|
"loss": 2.4675, |
|
"step": 219500 |
|
}, |
|
{ |
|
"epoch": 9.45, |
|
"learning_rate": 2.214871772842476e-05, |
|
"loss": 2.4707, |
|
"step": 220000 |
|
}, |
|
{ |
|
"epoch": 9.45, |
|
"eval_loss": 3.203800678253174, |
|
"eval_runtime": 69.9274, |
|
"eval_samples_per_second": 35.751, |
|
"eval_steps_per_second": 8.938, |
|
"step": 220000 |
|
}, |
|
{ |
|
"epoch": 9.47, |
|
"learning_rate": 2.1289574294428455e-05, |
|
"loss": 2.4683, |
|
"step": 220500 |
|
}, |
|
{ |
|
"epoch": 9.49, |
|
"learning_rate": 2.043043086043215e-05, |
|
"loss": 2.4674, |
|
"step": 221000 |
|
}, |
|
{ |
|
"epoch": 9.51, |
|
"learning_rate": 1.9571287426435845e-05, |
|
"loss": 2.4748, |
|
"step": 221500 |
|
}, |
|
{ |
|
"epoch": 9.53, |
|
"learning_rate": 1.8712143992439537e-05, |
|
"loss": 2.462, |
|
"step": 222000 |
|
}, |
|
{ |
|
"epoch": 9.55, |
|
"learning_rate": 1.7853000558443235e-05, |
|
"loss": 2.4709, |
|
"step": 222500 |
|
}, |
|
{ |
|
"epoch": 9.58, |
|
"learning_rate": 1.6993857124446927e-05, |
|
"loss": 2.4593, |
|
"step": 223000 |
|
}, |
|
{ |
|
"epoch": 9.6, |
|
"learning_rate": 1.6134713690450622e-05, |
|
"loss": 2.4553, |
|
"step": 223500 |
|
}, |
|
{ |
|
"epoch": 9.62, |
|
"learning_rate": 1.5275570256454317e-05, |
|
"loss": 2.4683, |
|
"step": 224000 |
|
}, |
|
{ |
|
"epoch": 9.62, |
|
"eval_loss": 3.205549478530884, |
|
"eval_runtime": 69.3247, |
|
"eval_samples_per_second": 36.062, |
|
"eval_steps_per_second": 9.016, |
|
"step": 224000 |
|
}, |
|
{ |
|
"epoch": 9.64, |
|
"learning_rate": 1.441642682245801e-05, |
|
"loss": 2.4676, |
|
"step": 224500 |
|
}, |
|
{ |
|
"epoch": 9.66, |
|
"learning_rate": 1.3557283388461705e-05, |
|
"loss": 2.4728, |
|
"step": 225000 |
|
}, |
|
{ |
|
"epoch": 9.68, |
|
"learning_rate": 1.2698139954465398e-05, |
|
"loss": 2.468, |
|
"step": 225500 |
|
}, |
|
{ |
|
"epoch": 9.7, |
|
"learning_rate": 1.1838996520469092e-05, |
|
"loss": 2.4725, |
|
"step": 226000 |
|
}, |
|
{ |
|
"epoch": 9.73, |
|
"learning_rate": 1.0979853086472787e-05, |
|
"loss": 2.4756, |
|
"step": 226500 |
|
}, |
|
{ |
|
"epoch": 9.75, |
|
"learning_rate": 1.0120709652476482e-05, |
|
"loss": 2.4708, |
|
"step": 227000 |
|
}, |
|
{ |
|
"epoch": 9.77, |
|
"learning_rate": 9.261566218480177e-06, |
|
"loss": 2.4695, |
|
"step": 227500 |
|
}, |
|
{ |
|
"epoch": 9.79, |
|
"learning_rate": 8.40242278448387e-06, |
|
"loss": 2.4601, |
|
"step": 228000 |
|
}, |
|
{ |
|
"epoch": 9.79, |
|
"eval_loss": 3.203986406326294, |
|
"eval_runtime": 70.61, |
|
"eval_samples_per_second": 35.406, |
|
"eval_steps_per_second": 8.851, |
|
"step": 228000 |
|
}, |
|
{ |
|
"epoch": 9.81, |
|
"learning_rate": 7.543279350487564e-06, |
|
"loss": 2.4745, |
|
"step": 228500 |
|
}, |
|
{ |
|
"epoch": 9.83, |
|
"learning_rate": 6.684135916491259e-06, |
|
"loss": 2.4692, |
|
"step": 229000 |
|
}, |
|
{ |
|
"epoch": 9.85, |
|
"learning_rate": 5.824992482494953e-06, |
|
"loss": 2.4679, |
|
"step": 229500 |
|
}, |
|
{ |
|
"epoch": 9.88, |
|
"learning_rate": 4.965849048498647e-06, |
|
"loss": 2.4675, |
|
"step": 230000 |
|
}, |
|
{ |
|
"epoch": 9.9, |
|
"learning_rate": 4.106705614502342e-06, |
|
"loss": 2.4678, |
|
"step": 230500 |
|
}, |
|
{ |
|
"epoch": 9.92, |
|
"learning_rate": 3.2475621805060358e-06, |
|
"loss": 2.4679, |
|
"step": 231000 |
|
}, |
|
{ |
|
"epoch": 9.94, |
|
"learning_rate": 2.38841874650973e-06, |
|
"loss": 2.4683, |
|
"step": 231500 |
|
}, |
|
{ |
|
"epoch": 9.96, |
|
"learning_rate": 1.529275312513424e-06, |
|
"loss": 2.4613, |
|
"step": 232000 |
|
}, |
|
{ |
|
"epoch": 9.96, |
|
"eval_loss": 3.2050249576568604, |
|
"eval_runtime": 69.6048, |
|
"eval_samples_per_second": 35.917, |
|
"eval_steps_per_second": 8.979, |
|
"step": 232000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 232890, |
|
"num_train_epochs": 10, |
|
"save_steps": 8000, |
|
"total_flos": 5.270438359850582e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|