|
{ |
|
"best_metric": 0.13140406753766004, |
|
"best_model_checkpoint": "/workspace/disk2/krishna/checkpoints/checkpoint-1390", |
|
"epoch": 0.14, |
|
"eval_steps": 10, |
|
"global_step": 1400, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.001, |
|
"grad_norm": 1.7856025695800781, |
|
"learning_rate": 5.000000000000001e-07, |
|
"loss": 0.682, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.001, |
|
"eval_cos_sim": 0.30435964465141296, |
|
"eval_loss": 0.6965229106162732, |
|
"eval_runtime": 181.358, |
|
"eval_samples_per_second": 22.056, |
|
"eval_steps_per_second": 0.347, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.002, |
|
"grad_norm": 1.632306694984436, |
|
"learning_rate": 1.0000000000000002e-06, |
|
"loss": 0.6902, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.002, |
|
"eval_cos_sim": 0.3060647249221802, |
|
"eval_loss": 0.6948180051063245, |
|
"eval_runtime": 158.9409, |
|
"eval_samples_per_second": 25.167, |
|
"eval_steps_per_second": 0.396, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.003, |
|
"grad_norm": 1.4781064987182617, |
|
"learning_rate": 1.5e-06, |
|
"loss": 0.6879, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.003, |
|
"eval_cos_sim": 0.30893880128860474, |
|
"eval_loss": 0.6919441828941053, |
|
"eval_runtime": 163.5656, |
|
"eval_samples_per_second": 24.455, |
|
"eval_steps_per_second": 0.385, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.004, |
|
"grad_norm": 1.4996154308319092, |
|
"learning_rate": 2.0000000000000003e-06, |
|
"loss": 0.6805, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.004, |
|
"eval_cos_sim": 0.3130052089691162, |
|
"eval_loss": 0.6878782258247084, |
|
"eval_runtime": 160.8804, |
|
"eval_samples_per_second": 24.863, |
|
"eval_steps_per_second": 0.392, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.005, |
|
"grad_norm": 1.7979084253311157, |
|
"learning_rate": 2.5e-06, |
|
"loss": 0.6795, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.005, |
|
"eval_cos_sim": 0.3181459903717041, |
|
"eval_loss": 0.6827379918311781, |
|
"eval_runtime": 159.4021, |
|
"eval_samples_per_second": 25.094, |
|
"eval_steps_per_second": 0.395, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.006, |
|
"grad_norm": 1.4049359560012817, |
|
"learning_rate": 3e-06, |
|
"loss": 0.6781, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.006, |
|
"eval_cos_sim": 0.32444360852241516, |
|
"eval_loss": 0.6764405532096571, |
|
"eval_runtime": 159.9515, |
|
"eval_samples_per_second": 25.008, |
|
"eval_steps_per_second": 0.394, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.007, |
|
"grad_norm": 1.7637789249420166, |
|
"learning_rate": 3.5000000000000004e-06, |
|
"loss": 0.6718, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.007, |
|
"eval_cos_sim": 0.331728994846344, |
|
"eval_loss": 0.6691558842872327, |
|
"eval_runtime": 160.8921, |
|
"eval_samples_per_second": 24.861, |
|
"eval_steps_per_second": 0.392, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.008, |
|
"grad_norm": 1.7560211420059204, |
|
"learning_rate": 4.000000000000001e-06, |
|
"loss": 0.6551, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.008, |
|
"eval_cos_sim": 0.3400111794471741, |
|
"eval_loss": 0.6608743510459608, |
|
"eval_runtime": 172.4109, |
|
"eval_samples_per_second": 23.2, |
|
"eval_steps_per_second": 0.365, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.009, |
|
"grad_norm": 1.7577630281448364, |
|
"learning_rate": 4.5e-06, |
|
"loss": 0.6566, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.009, |
|
"eval_cos_sim": 0.34923624992370605, |
|
"eval_loss": 0.6516506343101209, |
|
"eval_runtime": 161.459, |
|
"eval_samples_per_second": 24.774, |
|
"eval_steps_per_second": 0.39, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"grad_norm": 1.7723366022109985, |
|
"learning_rate": 5e-06, |
|
"loss": 0.6332, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"eval_cos_sim": 0.35936808586120605, |
|
"eval_loss": 0.6415200128768629, |
|
"eval_runtime": 158.9596, |
|
"eval_samples_per_second": 25.164, |
|
"eval_steps_per_second": 0.396, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.011, |
|
"grad_norm": 1.7818301916122437, |
|
"learning_rate": 5.500000000000001e-06, |
|
"loss": 0.6297, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.011, |
|
"eval_cos_sim": 0.3702617287635803, |
|
"eval_loss": 0.6306272282813734, |
|
"eval_runtime": 161.4739, |
|
"eval_samples_per_second": 24.772, |
|
"eval_steps_per_second": 0.39, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.012, |
|
"grad_norm": 1.4825223684310913, |
|
"learning_rate": 6e-06, |
|
"loss": 0.6473, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.012, |
|
"eval_cos_sim": 0.381907194852829, |
|
"eval_loss": 0.6189834599708265, |
|
"eval_runtime": 162.0142, |
|
"eval_samples_per_second": 24.689, |
|
"eval_steps_per_second": 0.389, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.013, |
|
"grad_norm": 1.7424395084381104, |
|
"learning_rate": 6.5000000000000004e-06, |
|
"loss": 0.611, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.013, |
|
"eval_cos_sim": 0.3940889537334442, |
|
"eval_loss": 0.6068024029945082, |
|
"eval_runtime": 161.0467, |
|
"eval_samples_per_second": 24.838, |
|
"eval_steps_per_second": 0.391, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.014, |
|
"grad_norm": 1.7474108934402466, |
|
"learning_rate": 7.000000000000001e-06, |
|
"loss": 0.5932, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.014, |
|
"eval_cos_sim": 0.4073576033115387, |
|
"eval_loss": 0.5935340962623304, |
|
"eval_runtime": 161.0017, |
|
"eval_samples_per_second": 24.844, |
|
"eval_steps_per_second": 0.391, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.015, |
|
"grad_norm": 1.6058062314987183, |
|
"learning_rate": 7.5e-06, |
|
"loss": 0.5824, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.015, |
|
"eval_cos_sim": 0.42149588465690613, |
|
"eval_loss": 0.5793958764289564, |
|
"eval_runtime": 167.7429, |
|
"eval_samples_per_second": 23.846, |
|
"eval_steps_per_second": 0.376, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.016, |
|
"grad_norm": 1.5788137912750244, |
|
"learning_rate": 8.000000000000001e-06, |
|
"loss": 0.5634, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.016, |
|
"eval_cos_sim": 0.43618762493133545, |
|
"eval_loss": 0.564703805944795, |
|
"eval_runtime": 159.9946, |
|
"eval_samples_per_second": 25.001, |
|
"eval_steps_per_second": 0.394, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.017, |
|
"grad_norm": 1.6113280057907104, |
|
"learning_rate": 8.500000000000002e-06, |
|
"loss": 0.5519, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.017, |
|
"eval_cos_sim": 0.4508235454559326, |
|
"eval_loss": 0.5500685830329604, |
|
"eval_runtime": 157.8438, |
|
"eval_samples_per_second": 25.342, |
|
"eval_steps_per_second": 0.399, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.018, |
|
"grad_norm": 1.6156154870986938, |
|
"learning_rate": 9e-06, |
|
"loss": 0.5407, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.018, |
|
"eval_cos_sim": 0.46566617488861084, |
|
"eval_loss": 0.5352267394279188, |
|
"eval_runtime": 159.9444, |
|
"eval_samples_per_second": 25.009, |
|
"eval_steps_per_second": 0.394, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.019, |
|
"grad_norm": 1.5958607196807861, |
|
"learning_rate": 9.5e-06, |
|
"loss": 0.5117, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.019, |
|
"eval_cos_sim": 0.4806951582431793, |
|
"eval_loss": 0.5202000065063185, |
|
"eval_runtime": 157.8685, |
|
"eval_samples_per_second": 25.338, |
|
"eval_steps_per_second": 0.399, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"grad_norm": 1.6012651920318604, |
|
"learning_rate": 1e-05, |
|
"loss": 0.5116, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"eval_cos_sim": 0.49558621644973755, |
|
"eval_loss": 0.5053114848350233, |
|
"eval_runtime": 155.395, |
|
"eval_samples_per_second": 25.741, |
|
"eval_steps_per_second": 0.405, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.021, |
|
"grad_norm": 1.7965919971466064, |
|
"learning_rate": 1.05e-05, |
|
"loss": 0.4782, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 0.021, |
|
"eval_cos_sim": 0.5108910202980042, |
|
"eval_loss": 0.49000780775296154, |
|
"eval_runtime": 159.6303, |
|
"eval_samples_per_second": 25.058, |
|
"eval_steps_per_second": 0.395, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 0.022, |
|
"grad_norm": 1.791284441947937, |
|
"learning_rate": 1.1000000000000001e-05, |
|
"loss": 0.4802, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 0.022, |
|
"eval_cos_sim": 0.5271998643875122, |
|
"eval_loss": 0.4737012028907484, |
|
"eval_runtime": 169.963, |
|
"eval_samples_per_second": 23.535, |
|
"eval_steps_per_second": 0.371, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 0.023, |
|
"grad_norm": 1.7923716306686401, |
|
"learning_rate": 1.1500000000000002e-05, |
|
"loss": 0.4513, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 0.023, |
|
"eval_cos_sim": 0.5435076355934143, |
|
"eval_loss": 0.45739728691327036, |
|
"eval_runtime": 160.753, |
|
"eval_samples_per_second": 24.883, |
|
"eval_steps_per_second": 0.392, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 0.024, |
|
"grad_norm": 1.7997322082519531, |
|
"learning_rate": 1.2e-05, |
|
"loss": 0.4288, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 0.024, |
|
"eval_cos_sim": 0.5595658421516418, |
|
"eval_loss": 0.44134216930615366, |
|
"eval_runtime": 163.2069, |
|
"eval_samples_per_second": 24.509, |
|
"eval_steps_per_second": 0.386, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 0.025, |
|
"grad_norm": 1.7595293521881104, |
|
"learning_rate": 1.25e-05, |
|
"loss": 0.4365, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.025, |
|
"eval_cos_sim": 0.5746485590934753, |
|
"eval_loss": 0.4262613997672743, |
|
"eval_runtime": 160.8892, |
|
"eval_samples_per_second": 24.862, |
|
"eval_steps_per_second": 0.392, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.026, |
|
"grad_norm": 1.614985704421997, |
|
"learning_rate": 1.3000000000000001e-05, |
|
"loss": 0.4007, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 0.026, |
|
"eval_cos_sim": 0.5887113809585571, |
|
"eval_loss": 0.4121987219070143, |
|
"eval_runtime": 157.6029, |
|
"eval_samples_per_second": 25.38, |
|
"eval_steps_per_second": 0.4, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 0.027, |
|
"grad_norm": 1.6005358695983887, |
|
"learning_rate": 1.3500000000000001e-05, |
|
"loss": 0.4048, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 0.027, |
|
"eval_cos_sim": 0.6018706560134888, |
|
"eval_loss": 0.39904179241406385, |
|
"eval_runtime": 163.2521, |
|
"eval_samples_per_second": 24.502, |
|
"eval_steps_per_second": 0.386, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 0.028, |
|
"grad_norm": 1.7216198444366455, |
|
"learning_rate": 1.4000000000000001e-05, |
|
"loss": 0.3793, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 0.028, |
|
"eval_cos_sim": 0.6152481436729431, |
|
"eval_loss": 0.385668321153993, |
|
"eval_runtime": 163.9341, |
|
"eval_samples_per_second": 24.4, |
|
"eval_steps_per_second": 0.384, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 0.029, |
|
"grad_norm": 1.7449027299880981, |
|
"learning_rate": 1.45e-05, |
|
"loss": 0.3614, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 0.029, |
|
"eval_cos_sim": 0.6277655959129333, |
|
"eval_loss": 0.3731525359367079, |
|
"eval_runtime": 170.8176, |
|
"eval_samples_per_second": 23.417, |
|
"eval_steps_per_second": 0.369, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"grad_norm": 1.5057954788208008, |
|
"learning_rate": 1.5e-05, |
|
"loss": 0.3557, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"eval_cos_sim": 0.6390805244445801, |
|
"eval_loss": 0.36183924534069956, |
|
"eval_runtime": 160.3353, |
|
"eval_samples_per_second": 24.948, |
|
"eval_steps_per_second": 0.393, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.031, |
|
"grad_norm": 1.5245262384414673, |
|
"learning_rate": 1.55e-05, |
|
"loss": 0.3729, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 0.031, |
|
"eval_cos_sim": 0.6503457427024841, |
|
"eval_loss": 0.3505764603828138, |
|
"eval_runtime": 161.447, |
|
"eval_samples_per_second": 24.776, |
|
"eval_steps_per_second": 0.39, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 0.032, |
|
"grad_norm": 1.4508600234985352, |
|
"learning_rate": 1.6000000000000003e-05, |
|
"loss": 0.3476, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 0.032, |
|
"eval_cos_sim": 0.664078414440155, |
|
"eval_loss": 0.33684703972088753, |
|
"eval_runtime": 162.7312, |
|
"eval_samples_per_second": 24.58, |
|
"eval_steps_per_second": 0.387, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 0.033, |
|
"grad_norm": 1.545847773551941, |
|
"learning_rate": 1.65e-05, |
|
"loss": 0.3335, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 0.033, |
|
"eval_cos_sim": 0.6734265089035034, |
|
"eval_loss": 0.32750138094174325, |
|
"eval_runtime": 162.4883, |
|
"eval_samples_per_second": 24.617, |
|
"eval_steps_per_second": 0.388, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 0.034, |
|
"grad_norm": 1.5199618339538574, |
|
"learning_rate": 1.7000000000000003e-05, |
|
"loss": 0.3369, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 0.034, |
|
"eval_cos_sim": 0.6810038685798645, |
|
"eval_loss": 0.31992570402371345, |
|
"eval_runtime": 161.4031, |
|
"eval_samples_per_second": 24.783, |
|
"eval_steps_per_second": 0.39, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 0.035, |
|
"grad_norm": 1.2642650604248047, |
|
"learning_rate": 1.75e-05, |
|
"loss": 0.3396, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.035, |
|
"eval_cos_sim": 0.6911267638206482, |
|
"eval_loss": 0.3098063874458021, |
|
"eval_runtime": 165.9265, |
|
"eval_samples_per_second": 24.107, |
|
"eval_steps_per_second": 0.38, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.036, |
|
"grad_norm": 1.2891690731048584, |
|
"learning_rate": 1.8e-05, |
|
"loss": 0.3015, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 0.036, |
|
"eval_cos_sim": 0.6987318992614746, |
|
"eval_loss": 0.3022033410285658, |
|
"eval_runtime": 173.6837, |
|
"eval_samples_per_second": 23.03, |
|
"eval_steps_per_second": 0.363, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 0.037, |
|
"grad_norm": 1.2396866083145142, |
|
"learning_rate": 1.85e-05, |
|
"loss": 0.3077, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 0.037, |
|
"eval_cos_sim": 0.7082959413528442, |
|
"eval_loss": 0.2926409912322706, |
|
"eval_runtime": 158.0401, |
|
"eval_samples_per_second": 25.31, |
|
"eval_steps_per_second": 0.399, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 0.038, |
|
"grad_norm": 1.2055168151855469, |
|
"learning_rate": 1.9e-05, |
|
"loss": 0.2895, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 0.038, |
|
"eval_cos_sim": 0.7168179750442505, |
|
"eval_loss": 0.284124677202577, |
|
"eval_runtime": 160.1742, |
|
"eval_samples_per_second": 24.973, |
|
"eval_steps_per_second": 0.393, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 0.039, |
|
"grad_norm": 1.1191834211349487, |
|
"learning_rate": 1.9500000000000003e-05, |
|
"loss": 0.2944, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 0.039, |
|
"eval_cos_sim": 0.7234470248222351, |
|
"eval_loss": 0.2775011363242811, |
|
"eval_runtime": 165.4196, |
|
"eval_samples_per_second": 24.181, |
|
"eval_steps_per_second": 0.381, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"grad_norm": 1.097105860710144, |
|
"learning_rate": 2e-05, |
|
"loss": 0.2898, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"eval_cos_sim": 0.7314009666442871, |
|
"eval_loss": 0.2695479884360975, |
|
"eval_runtime": 159.5742, |
|
"eval_samples_per_second": 25.067, |
|
"eval_steps_per_second": 0.395, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.041, |
|
"grad_norm": 1.040711760520935, |
|
"learning_rate": 2.05e-05, |
|
"loss": 0.2573, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 0.041, |
|
"eval_cos_sim": 0.7389957904815674, |
|
"eval_loss": 0.26195128538357676, |
|
"eval_runtime": 160.3231, |
|
"eval_samples_per_second": 24.95, |
|
"eval_steps_per_second": 0.393, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 0.042, |
|
"grad_norm": 1.0322086811065674, |
|
"learning_rate": 2.1e-05, |
|
"loss": 0.241, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 0.042, |
|
"eval_cos_sim": 0.7471259236335754, |
|
"eval_loss": 0.25382448627697884, |
|
"eval_runtime": 161.5365, |
|
"eval_samples_per_second": 24.762, |
|
"eval_steps_per_second": 0.39, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 0.043, |
|
"grad_norm": 0.9718736410140991, |
|
"learning_rate": 2.15e-05, |
|
"loss": 0.26, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 0.043, |
|
"eval_cos_sim": 0.7534591555595398, |
|
"eval_loss": 0.24748690702664317, |
|
"eval_runtime": 169.2487, |
|
"eval_samples_per_second": 23.634, |
|
"eval_steps_per_second": 0.372, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 0.044, |
|
"grad_norm": 0.8780993223190308, |
|
"learning_rate": 2.2000000000000003e-05, |
|
"loss": 0.2255, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 0.044, |
|
"eval_cos_sim": 0.7604101896286011, |
|
"eval_loss": 0.2405370173667616, |
|
"eval_runtime": 161.7354, |
|
"eval_samples_per_second": 24.732, |
|
"eval_steps_per_second": 0.39, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 0.045, |
|
"grad_norm": 0.8193601369857788, |
|
"learning_rate": 2.25e-05, |
|
"loss": 0.2182, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 0.045, |
|
"eval_cos_sim": 0.7673761248588562, |
|
"eval_loss": 0.2335676951621718, |
|
"eval_runtime": 159.2952, |
|
"eval_samples_per_second": 25.111, |
|
"eval_steps_per_second": 0.395, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 0.046, |
|
"grad_norm": 0.8820355534553528, |
|
"learning_rate": 2.3000000000000003e-05, |
|
"loss": 0.2153, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 0.046, |
|
"eval_cos_sim": 0.7723870277404785, |
|
"eval_loss": 0.228554349443788, |
|
"eval_runtime": 161.8756, |
|
"eval_samples_per_second": 24.71, |
|
"eval_steps_per_second": 0.389, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 0.047, |
|
"grad_norm": 0.9045171141624451, |
|
"learning_rate": 2.35e-05, |
|
"loss": 0.2245, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 0.047, |
|
"eval_cos_sim": 0.7763780951499939, |
|
"eval_loss": 0.22456564476239152, |
|
"eval_runtime": 160.6855, |
|
"eval_samples_per_second": 24.893, |
|
"eval_steps_per_second": 0.392, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 0.048, |
|
"grad_norm": 0.7304402589797974, |
|
"learning_rate": 2.4e-05, |
|
"loss": 0.2069, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 0.048, |
|
"eval_cos_sim": 0.7830195426940918, |
|
"eval_loss": 0.21792557956921524, |
|
"eval_runtime": 162.6536, |
|
"eval_samples_per_second": 24.592, |
|
"eval_steps_per_second": 0.387, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 0.049, |
|
"grad_norm": 0.6550305485725403, |
|
"learning_rate": 2.45e-05, |
|
"loss": 0.2001, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 0.049, |
|
"eval_cos_sim": 0.7868452072143555, |
|
"eval_loss": 0.21410264875637955, |
|
"eval_runtime": 163.12, |
|
"eval_samples_per_second": 24.522, |
|
"eval_steps_per_second": 0.386, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"grad_norm": 0.6369508504867554, |
|
"learning_rate": 2.5e-05, |
|
"loss": 0.1935, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"eval_cos_sim": 0.7914958596229553, |
|
"eval_loss": 0.2094592919563002, |
|
"eval_runtime": 164.3494, |
|
"eval_samples_per_second": 24.338, |
|
"eval_steps_per_second": 0.383, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.051, |
|
"grad_norm": 0.6336702108383179, |
|
"learning_rate": 2.5500000000000003e-05, |
|
"loss": 0.2018, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 0.051, |
|
"eval_cos_sim": 0.7958762645721436, |
|
"eval_loss": 0.20508341314541764, |
|
"eval_runtime": 163.0667, |
|
"eval_samples_per_second": 24.53, |
|
"eval_steps_per_second": 0.386, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 0.052, |
|
"grad_norm": 0.585249125957489, |
|
"learning_rate": 2.6000000000000002e-05, |
|
"loss": 0.1854, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 0.052, |
|
"eval_cos_sim": 0.7985916137695312, |
|
"eval_loss": 0.20236765434491105, |
|
"eval_runtime": 161.7682, |
|
"eval_samples_per_second": 24.727, |
|
"eval_steps_per_second": 0.389, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 0.053, |
|
"grad_norm": 0.5437793731689453, |
|
"learning_rate": 2.6500000000000004e-05, |
|
"loss": 0.1795, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 0.053, |
|
"eval_cos_sim": 0.8020971417427063, |
|
"eval_loss": 0.19886508896099991, |
|
"eval_runtime": 164.1233, |
|
"eval_samples_per_second": 24.372, |
|
"eval_steps_per_second": 0.384, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 0.054, |
|
"grad_norm": 0.6123674511909485, |
|
"learning_rate": 2.7000000000000002e-05, |
|
"loss": 0.1807, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 0.054, |
|
"eval_cos_sim": 0.8049777150154114, |
|
"eval_loss": 0.19599416496502822, |
|
"eval_runtime": 163.7538, |
|
"eval_samples_per_second": 24.427, |
|
"eval_steps_per_second": 0.385, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 0.055, |
|
"grad_norm": 0.5047230124473572, |
|
"learning_rate": 2.7500000000000004e-05, |
|
"loss": 0.1769, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 0.055, |
|
"eval_cos_sim": 0.8080028295516968, |
|
"eval_loss": 0.19296009018170304, |
|
"eval_runtime": 158.2319, |
|
"eval_samples_per_second": 25.279, |
|
"eval_steps_per_second": 0.398, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 0.056, |
|
"grad_norm": 0.4361515939235687, |
|
"learning_rate": 2.8000000000000003e-05, |
|
"loss": 0.1783, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 0.056, |
|
"eval_cos_sim": 0.8107978701591492, |
|
"eval_loss": 0.19017480518567031, |
|
"eval_runtime": 164.6869, |
|
"eval_samples_per_second": 24.289, |
|
"eval_steps_per_second": 0.383, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 0.057, |
|
"grad_norm": 0.4613172113895416, |
|
"learning_rate": 2.8499999999999998e-05, |
|
"loss": 0.1714, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 0.057, |
|
"eval_cos_sim": 0.8138161301612854, |
|
"eval_loss": 0.18716797020184464, |
|
"eval_runtime": 167.1324, |
|
"eval_samples_per_second": 23.933, |
|
"eval_steps_per_second": 0.377, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 0.058, |
|
"grad_norm": 0.4287095069885254, |
|
"learning_rate": 2.9e-05, |
|
"loss": 0.1633, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 0.058, |
|
"eval_cos_sim": 0.8161399364471436, |
|
"eval_loss": 0.1848432316993422, |
|
"eval_runtime": 160.6945, |
|
"eval_samples_per_second": 24.892, |
|
"eval_steps_per_second": 0.392, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 0.059, |
|
"grad_norm": 0.442719429731369, |
|
"learning_rate": 2.95e-05, |
|
"loss": 0.1643, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 0.059, |
|
"eval_cos_sim": 0.8180400133132935, |
|
"eval_loss": 0.1829425740455336, |
|
"eval_runtime": 163.6004, |
|
"eval_samples_per_second": 24.45, |
|
"eval_steps_per_second": 0.385, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"grad_norm": 0.38597649335861206, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1645, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"eval_cos_sim": 0.8204721808433533, |
|
"eval_loss": 0.1805112529014296, |
|
"eval_runtime": 158.8011, |
|
"eval_samples_per_second": 25.189, |
|
"eval_steps_per_second": 0.397, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.061, |
|
"grad_norm": 0.40187621116638184, |
|
"learning_rate": 3.05e-05, |
|
"loss": 0.1632, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 0.061, |
|
"eval_cos_sim": 0.8225390911102295, |
|
"eval_loss": 0.17843791820752097, |
|
"eval_runtime": 164.1328, |
|
"eval_samples_per_second": 24.371, |
|
"eval_steps_per_second": 0.384, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 0.062, |
|
"grad_norm": 0.36652931571006775, |
|
"learning_rate": 3.1e-05, |
|
"loss": 0.1587, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 0.062, |
|
"eval_cos_sim": 0.8244653344154358, |
|
"eval_loss": 0.17650788643109275, |
|
"eval_runtime": 160.7137, |
|
"eval_samples_per_second": 24.889, |
|
"eval_steps_per_second": 0.392, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 0.063, |
|
"grad_norm": 0.39730513095855713, |
|
"learning_rate": 3.15e-05, |
|
"loss": 0.164, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 0.063, |
|
"eval_cos_sim": 0.8262067437171936, |
|
"eval_loss": 0.17477095749127342, |
|
"eval_runtime": 165.8251, |
|
"eval_samples_per_second": 24.122, |
|
"eval_steps_per_second": 0.38, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 0.064, |
|
"grad_norm": 0.37115684151649475, |
|
"learning_rate": 3.2000000000000005e-05, |
|
"loss": 0.1562, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 0.064, |
|
"eval_cos_sim": 0.8285937905311584, |
|
"eval_loss": 0.17237986900555563, |
|
"eval_runtime": 166.1474, |
|
"eval_samples_per_second": 24.075, |
|
"eval_steps_per_second": 0.379, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 0.065, |
|
"grad_norm": 0.3438771367073059, |
|
"learning_rate": 3.2500000000000004e-05, |
|
"loss": 0.1628, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 0.065, |
|
"eval_cos_sim": 0.8305408358573914, |
|
"eval_loss": 0.17043518688427878, |
|
"eval_runtime": 156.9198, |
|
"eval_samples_per_second": 25.491, |
|
"eval_steps_per_second": 0.401, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 0.066, |
|
"grad_norm": 0.445515513420105, |
|
"learning_rate": 3.3e-05, |
|
"loss": 0.1588, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 0.066, |
|
"eval_cos_sim": 0.8313919305801392, |
|
"eval_loss": 0.1695925650809951, |
|
"eval_runtime": 160.5009, |
|
"eval_samples_per_second": 24.922, |
|
"eval_steps_per_second": 0.393, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 0.067, |
|
"grad_norm": 0.30833250284194946, |
|
"learning_rate": 3.35e-05, |
|
"loss": 0.1597, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 0.067, |
|
"eval_cos_sim": 0.8327498435974121, |
|
"eval_loss": 0.16823711063610983, |
|
"eval_runtime": 163.7947, |
|
"eval_samples_per_second": 24.421, |
|
"eval_steps_per_second": 0.385, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 0.068, |
|
"grad_norm": 0.30146872997283936, |
|
"learning_rate": 3.4000000000000007e-05, |
|
"loss": 0.1521, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 0.068, |
|
"eval_cos_sim": 0.8345705270767212, |
|
"eval_loss": 0.16642027666317893, |
|
"eval_runtime": 163.0767, |
|
"eval_samples_per_second": 24.528, |
|
"eval_steps_per_second": 0.386, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 0.069, |
|
"grad_norm": 0.3060350716114044, |
|
"learning_rate": 3.45e-05, |
|
"loss": 0.1499, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 0.069, |
|
"eval_cos_sim": 0.8357890844345093, |
|
"eval_loss": 0.16520177223431537, |
|
"eval_runtime": 161.8292, |
|
"eval_samples_per_second": 24.717, |
|
"eval_steps_per_second": 0.389, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"grad_norm": 0.25746750831604004, |
|
"learning_rate": 3.5e-05, |
|
"loss": 0.1494, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"eval_cos_sim": 0.8371787071228027, |
|
"eval_loss": 0.16381443121182396, |
|
"eval_runtime": 171.1282, |
|
"eval_samples_per_second": 23.374, |
|
"eval_steps_per_second": 0.368, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.071, |
|
"grad_norm": 0.27807655930519104, |
|
"learning_rate": 3.55e-05, |
|
"loss": 0.1503, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 0.071, |
|
"eval_cos_sim": 0.8385919332504272, |
|
"eval_loss": 0.16239957573162986, |
|
"eval_runtime": 173.6991, |
|
"eval_samples_per_second": 23.028, |
|
"eval_steps_per_second": 0.363, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 0.072, |
|
"grad_norm": 0.2822527587413788, |
|
"learning_rate": 3.6e-05, |
|
"loss": 0.1596, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 0.072, |
|
"eval_cos_sim": 0.8399993777275085, |
|
"eval_loss": 0.16099353077160786, |
|
"eval_runtime": 166.2107, |
|
"eval_samples_per_second": 24.066, |
|
"eval_steps_per_second": 0.379, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 0.073, |
|
"grad_norm": 0.3689976632595062, |
|
"learning_rate": 3.65e-05, |
|
"loss": 0.1522, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 0.073, |
|
"eval_cos_sim": 0.8407827615737915, |
|
"eval_loss": 0.16021420147168108, |
|
"eval_runtime": 163.1982, |
|
"eval_samples_per_second": 24.51, |
|
"eval_steps_per_second": 0.386, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 0.074, |
|
"grad_norm": 0.24420756101608276, |
|
"learning_rate": 3.7e-05, |
|
"loss": 0.1464, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 0.074, |
|
"eval_cos_sim": 0.8423337936401367, |
|
"eval_loss": 0.15866206934201188, |
|
"eval_runtime": 162.3325, |
|
"eval_samples_per_second": 24.641, |
|
"eval_steps_per_second": 0.388, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 0.075, |
|
"grad_norm": 0.2716599404811859, |
|
"learning_rate": 3.7500000000000003e-05, |
|
"loss": 0.1458, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 0.075, |
|
"eval_cos_sim": 0.8430612683296204, |
|
"eval_loss": 0.157932794592256, |
|
"eval_runtime": 163.6706, |
|
"eval_samples_per_second": 24.439, |
|
"eval_steps_per_second": 0.385, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 0.076, |
|
"grad_norm": 0.27678823471069336, |
|
"learning_rate": 3.8e-05, |
|
"loss": 0.1446, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 0.076, |
|
"eval_cos_sim": 0.8438640236854553, |
|
"eval_loss": 0.15713081218945452, |
|
"eval_runtime": 159.6959, |
|
"eval_samples_per_second": 25.048, |
|
"eval_steps_per_second": 0.394, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 0.077, |
|
"grad_norm": 0.23866839706897736, |
|
"learning_rate": 3.85e-05, |
|
"loss": 0.1487, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 0.077, |
|
"eval_cos_sim": 0.8451653718948364, |
|
"eval_loss": 0.15582896663891738, |
|
"eval_runtime": 170.448, |
|
"eval_samples_per_second": 23.468, |
|
"eval_steps_per_second": 0.37, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 0.078, |
|
"grad_norm": 0.24985139071941376, |
|
"learning_rate": 3.9000000000000006e-05, |
|
"loss": 0.143, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 0.078, |
|
"eval_cos_sim": 0.8460158705711365, |
|
"eval_loss": 0.15497446682202284, |
|
"eval_runtime": 168.3573, |
|
"eval_samples_per_second": 23.759, |
|
"eval_steps_per_second": 0.374, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 0.079, |
|
"grad_norm": 0.2435818761587143, |
|
"learning_rate": 3.9500000000000005e-05, |
|
"loss": 0.1464, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 0.079, |
|
"eval_cos_sim": 0.8470072150230408, |
|
"eval_loss": 0.15398560383068982, |
|
"eval_runtime": 163.7823, |
|
"eval_samples_per_second": 24.423, |
|
"eval_steps_per_second": 0.385, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"grad_norm": 0.25132063031196594, |
|
"learning_rate": 4e-05, |
|
"loss": 0.1463, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"eval_cos_sim": 0.8480408191680908, |
|
"eval_loss": 0.15294421245800913, |
|
"eval_runtime": 160.63, |
|
"eval_samples_per_second": 24.902, |
|
"eval_steps_per_second": 0.392, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.081, |
|
"grad_norm": 0.22080835700035095, |
|
"learning_rate": 4.05e-05, |
|
"loss": 0.1449, |
|
"step": 810 |
|
}, |
|
{ |
|
"epoch": 0.081, |
|
"eval_cos_sim": 0.8484798669815063, |
|
"eval_loss": 0.15251411964642467, |
|
"eval_runtime": 165.2445, |
|
"eval_samples_per_second": 24.207, |
|
"eval_steps_per_second": 0.381, |
|
"step": 810 |
|
}, |
|
{ |
|
"epoch": 0.082, |
|
"grad_norm": 0.21103359758853912, |
|
"learning_rate": 4.1e-05, |
|
"loss": 0.1425, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 0.082, |
|
"eval_cos_sim": 0.8491047024726868, |
|
"eval_loss": 0.15190097334134042, |
|
"eval_runtime": 165.2932, |
|
"eval_samples_per_second": 24.199, |
|
"eval_steps_per_second": 0.381, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 0.083, |
|
"grad_norm": 0.4737427234649658, |
|
"learning_rate": 4.15e-05, |
|
"loss": 0.1451, |
|
"step": 830 |
|
}, |
|
{ |
|
"epoch": 0.083, |
|
"eval_cos_sim": 0.8501515984535217, |
|
"eval_loss": 0.15085182239758432, |
|
"eval_runtime": 164.4705, |
|
"eval_samples_per_second": 24.32, |
|
"eval_steps_per_second": 0.383, |
|
"step": 830 |
|
}, |
|
{ |
|
"epoch": 0.084, |
|
"grad_norm": 0.19636596739292145, |
|
"learning_rate": 4.2e-05, |
|
"loss": 0.139, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 0.084, |
|
"eval_cos_sim": 0.8513444066047668, |
|
"eval_loss": 0.14965240146862924, |
|
"eval_runtime": 168.3369, |
|
"eval_samples_per_second": 23.762, |
|
"eval_steps_per_second": 0.374, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 0.085, |
|
"grad_norm": 0.22018375992774963, |
|
"learning_rate": 4.25e-05, |
|
"loss": 0.139, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 0.085, |
|
"eval_cos_sim": 0.8519036769866943, |
|
"eval_loss": 0.14909614183651865, |
|
"eval_runtime": 170.0334, |
|
"eval_samples_per_second": 23.525, |
|
"eval_steps_per_second": 0.371, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 0.086, |
|
"grad_norm": 0.21147912740707397, |
|
"learning_rate": 4.3e-05, |
|
"loss": 0.1383, |
|
"step": 860 |
|
}, |
|
{ |
|
"epoch": 0.086, |
|
"eval_cos_sim": 0.8522551655769348, |
|
"eval_loss": 0.14874456455456675, |
|
"eval_runtime": 160.1434, |
|
"eval_samples_per_second": 24.978, |
|
"eval_steps_per_second": 0.393, |
|
"step": 860 |
|
}, |
|
{ |
|
"epoch": 0.087, |
|
"grad_norm": 0.20831769704818726, |
|
"learning_rate": 4.35e-05, |
|
"loss": 0.1386, |
|
"step": 870 |
|
}, |
|
{ |
|
"epoch": 0.087, |
|
"eval_cos_sim": 0.8532180786132812, |
|
"eval_loss": 0.1477800307487196, |
|
"eval_runtime": 170.3934, |
|
"eval_samples_per_second": 23.475, |
|
"eval_steps_per_second": 0.37, |
|
"step": 870 |
|
}, |
|
{ |
|
"epoch": 0.088, |
|
"grad_norm": 0.3051137328147888, |
|
"learning_rate": 4.4000000000000006e-05, |
|
"loss": 0.141, |
|
"step": 880 |
|
}, |
|
{ |
|
"epoch": 0.088, |
|
"eval_cos_sim": 0.8542919754981995, |
|
"eval_loss": 0.14670453121411264, |
|
"eval_runtime": 165.3769, |
|
"eval_samples_per_second": 24.187, |
|
"eval_steps_per_second": 0.381, |
|
"step": 880 |
|
}, |
|
{ |
|
"epoch": 0.089, |
|
"grad_norm": 0.19627386331558228, |
|
"learning_rate": 4.4500000000000004e-05, |
|
"loss": 0.1423, |
|
"step": 890 |
|
}, |
|
{ |
|
"epoch": 0.089, |
|
"eval_cos_sim": 0.8539001941680908, |
|
"eval_loss": 0.1470875745032972, |
|
"eval_runtime": 163.4789, |
|
"eval_samples_per_second": 24.468, |
|
"eval_steps_per_second": 0.385, |
|
"step": 890 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"grad_norm": 0.1867413967847824, |
|
"learning_rate": 4.5e-05, |
|
"loss": 0.1371, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"eval_cos_sim": 0.8544667959213257, |
|
"eval_loss": 0.1465196500037855, |
|
"eval_runtime": 159.8165, |
|
"eval_samples_per_second": 25.029, |
|
"eval_steps_per_second": 0.394, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.091, |
|
"grad_norm": 0.21700890362262726, |
|
"learning_rate": 4.55e-05, |
|
"loss": 0.1405, |
|
"step": 910 |
|
}, |
|
{ |
|
"epoch": 0.091, |
|
"eval_cos_sim": 0.8560004234313965, |
|
"eval_loss": 0.14498550846325817, |
|
"eval_runtime": 166.8423, |
|
"eval_samples_per_second": 23.975, |
|
"eval_steps_per_second": 0.378, |
|
"step": 910 |
|
}, |
|
{ |
|
"epoch": 0.092, |
|
"grad_norm": 0.17160160839557648, |
|
"learning_rate": 4.600000000000001e-05, |
|
"loss": 0.1387, |
|
"step": 920 |
|
}, |
|
{ |
|
"epoch": 0.092, |
|
"eval_cos_sim": 0.8561151623725891, |
|
"eval_loss": 0.14487657501446666, |
|
"eval_runtime": 166.4947, |
|
"eval_samples_per_second": 24.025, |
|
"eval_steps_per_second": 0.378, |
|
"step": 920 |
|
}, |
|
{ |
|
"epoch": 0.093, |
|
"grad_norm": 0.18101643025875092, |
|
"learning_rate": 4.6500000000000005e-05, |
|
"loss": 0.1362, |
|
"step": 930 |
|
}, |
|
{ |
|
"epoch": 0.093, |
|
"eval_cos_sim": 0.8565106987953186, |
|
"eval_loss": 0.1444753079627699, |
|
"eval_runtime": 162.5163, |
|
"eval_samples_per_second": 24.613, |
|
"eval_steps_per_second": 0.388, |
|
"step": 930 |
|
}, |
|
{ |
|
"epoch": 0.094, |
|
"grad_norm": 0.1913219839334488, |
|
"learning_rate": 4.7e-05, |
|
"loss": 0.137, |
|
"step": 940 |
|
}, |
|
{ |
|
"epoch": 0.094, |
|
"eval_cos_sim": 0.8572973608970642, |
|
"eval_loss": 0.14369207908856332, |
|
"eval_runtime": 159.6717, |
|
"eval_samples_per_second": 25.051, |
|
"eval_steps_per_second": 0.395, |
|
"step": 940 |
|
}, |
|
{ |
|
"epoch": 0.095, |
|
"grad_norm": 0.18858781456947327, |
|
"learning_rate": 4.75e-05, |
|
"loss": 0.1365, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 0.095, |
|
"eval_cos_sim": 0.8581430912017822, |
|
"eval_loss": 0.1428443865989393, |
|
"eval_runtime": 160.8669, |
|
"eval_samples_per_second": 24.865, |
|
"eval_steps_per_second": 0.392, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 0.096, |
|
"grad_norm": 0.1602417230606079, |
|
"learning_rate": 4.8e-05, |
|
"loss": 0.1353, |
|
"step": 960 |
|
}, |
|
{ |
|
"epoch": 0.096, |
|
"eval_cos_sim": 0.8581015467643738, |
|
"eval_loss": 0.14288127615200938, |
|
"eval_runtime": 164.3422, |
|
"eval_samples_per_second": 24.339, |
|
"eval_steps_per_second": 0.383, |
|
"step": 960 |
|
}, |
|
{ |
|
"epoch": 0.097, |
|
"grad_norm": 0.1659657508134842, |
|
"learning_rate": 4.85e-05, |
|
"loss": 0.1347, |
|
"step": 970 |
|
}, |
|
{ |
|
"epoch": 0.097, |
|
"eval_cos_sim": 0.8594202399253845, |
|
"eval_loss": 0.14155777981030407, |
|
"eval_runtime": 167.1461, |
|
"eval_samples_per_second": 23.931, |
|
"eval_steps_per_second": 0.377, |
|
"step": 970 |
|
}, |
|
{ |
|
"epoch": 0.098, |
|
"grad_norm": 0.21223703026771545, |
|
"learning_rate": 4.9e-05, |
|
"loss": 0.138, |
|
"step": 980 |
|
}, |
|
{ |
|
"epoch": 0.098, |
|
"eval_cos_sim": 0.8584538698196411, |
|
"eval_loss": 0.14252794553982676, |
|
"eval_runtime": 167.1973, |
|
"eval_samples_per_second": 23.924, |
|
"eval_steps_per_second": 0.377, |
|
"step": 980 |
|
}, |
|
{ |
|
"epoch": 0.099, |
|
"grad_norm": 0.15602050721645355, |
|
"learning_rate": 4.9500000000000004e-05, |
|
"loss": 0.1392, |
|
"step": 990 |
|
}, |
|
{ |
|
"epoch": 0.099, |
|
"eval_cos_sim": 0.859849750995636, |
|
"eval_loss": 0.141124472162599, |
|
"eval_runtime": 168.2536, |
|
"eval_samples_per_second": 23.774, |
|
"eval_steps_per_second": 0.374, |
|
"step": 990 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"grad_norm": 0.1410510390996933, |
|
"learning_rate": 5e-05, |
|
"loss": 0.1359, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"eval_cos_sim": 0.8603095412254333, |
|
"eval_loss": 0.14066851665722788, |
|
"eval_runtime": 162.5936, |
|
"eval_samples_per_second": 24.601, |
|
"eval_steps_per_second": 0.387, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.101, |
|
"grad_norm": 0.15686458349227905, |
|
"learning_rate": 4.999984769144476e-05, |
|
"loss": 0.1354, |
|
"step": 1010 |
|
}, |
|
{ |
|
"epoch": 0.101, |
|
"eval_cos_sim": 0.8605126142501831, |
|
"eval_loss": 0.14045782043682994, |
|
"eval_runtime": 164.632, |
|
"eval_samples_per_second": 24.297, |
|
"eval_steps_per_second": 0.383, |
|
"step": 1010 |
|
}, |
|
{ |
|
"epoch": 0.102, |
|
"grad_norm": 0.1402912735939026, |
|
"learning_rate": 4.999939076763487e-05, |
|
"loss": 0.1333, |
|
"step": 1020 |
|
}, |
|
{ |
|
"epoch": 0.102, |
|
"eval_cos_sim": 0.8615362644195557, |
|
"eval_loss": 0.1394294276450819, |
|
"eval_runtime": 165.0933, |
|
"eval_samples_per_second": 24.229, |
|
"eval_steps_per_second": 0.382, |
|
"step": 1020 |
|
}, |
|
{ |
|
"epoch": 0.103, |
|
"grad_norm": 0.14782707393169403, |
|
"learning_rate": 4.999862923413781e-05, |
|
"loss": 0.1354, |
|
"step": 1030 |
|
}, |
|
{ |
|
"epoch": 0.103, |
|
"eval_cos_sim": 0.8612933158874512, |
|
"eval_loss": 0.13967935611950816, |
|
"eval_runtime": 164.3708, |
|
"eval_samples_per_second": 24.335, |
|
"eval_steps_per_second": 0.383, |
|
"step": 1030 |
|
}, |
|
{ |
|
"epoch": 0.104, |
|
"grad_norm": 0.14607678353786469, |
|
"learning_rate": 4.999756310023261e-05, |
|
"loss": 0.1336, |
|
"step": 1040 |
|
}, |
|
{ |
|
"epoch": 0.104, |
|
"eval_cos_sim": 0.861626148223877, |
|
"eval_loss": 0.13934949829327525, |
|
"eval_runtime": 165.2839, |
|
"eval_samples_per_second": 24.201, |
|
"eval_steps_per_second": 0.381, |
|
"step": 1040 |
|
}, |
|
{ |
|
"epoch": 0.105, |
|
"grad_norm": 0.1559648960828781, |
|
"learning_rate": 4.9996192378909786e-05, |
|
"loss": 0.1382, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 0.105, |
|
"eval_cos_sim": 0.8621127009391785, |
|
"eval_loss": 0.13886528732525766, |
|
"eval_runtime": 175.2773, |
|
"eval_samples_per_second": 22.821, |
|
"eval_steps_per_second": 0.359, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 0.106, |
|
"grad_norm": 0.15351799130439758, |
|
"learning_rate": 4.999451708687114e-05, |
|
"loss": 0.133, |
|
"step": 1060 |
|
}, |
|
{ |
|
"epoch": 0.106, |
|
"eval_cos_sim": 0.8621622920036316, |
|
"eval_loss": 0.1388200798247999, |
|
"eval_runtime": 168.4264, |
|
"eval_samples_per_second": 23.749, |
|
"eval_steps_per_second": 0.374, |
|
"step": 1060 |
|
}, |
|
{ |
|
"epoch": 0.107, |
|
"grad_norm": 0.13820523023605347, |
|
"learning_rate": 4.999253724452958e-05, |
|
"loss": 0.1314, |
|
"step": 1070 |
|
}, |
|
{ |
|
"epoch": 0.107, |
|
"eval_cos_sim": 0.8628634810447693, |
|
"eval_loss": 0.13812118484723032, |
|
"eval_runtime": 160.5977, |
|
"eval_samples_per_second": 24.907, |
|
"eval_steps_per_second": 0.392, |
|
"step": 1070 |
|
}, |
|
{ |
|
"epoch": 0.108, |
|
"grad_norm": 0.1627858728170395, |
|
"learning_rate": 4.999025287600886e-05, |
|
"loss": 0.1327, |
|
"step": 1080 |
|
}, |
|
{ |
|
"epoch": 0.108, |
|
"eval_cos_sim": 0.8630489706993103, |
|
"eval_loss": 0.13793376447903574, |
|
"eval_runtime": 165.8793, |
|
"eval_samples_per_second": 24.114, |
|
"eval_steps_per_second": 0.38, |
|
"step": 1080 |
|
}, |
|
{ |
|
"epoch": 0.109, |
|
"grad_norm": 0.14537328481674194, |
|
"learning_rate": 4.998766400914329e-05, |
|
"loss": 0.1347, |
|
"step": 1090 |
|
}, |
|
{ |
|
"epoch": 0.109, |
|
"eval_cos_sim": 0.8635595440864563, |
|
"eval_loss": 0.13742092325436533, |
|
"eval_runtime": 175.092, |
|
"eval_samples_per_second": 22.845, |
|
"eval_steps_per_second": 0.36, |
|
"step": 1090 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"grad_norm": 0.15490968525409698, |
|
"learning_rate": 4.99847706754774e-05, |
|
"loss": 0.1322, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"eval_cos_sim": 0.8640041351318359, |
|
"eval_loss": 0.13697428562390268, |
|
"eval_runtime": 171.1077, |
|
"eval_samples_per_second": 23.377, |
|
"eval_steps_per_second": 0.368, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 0.111, |
|
"grad_norm": 0.13356918096542358, |
|
"learning_rate": 4.998157291026553e-05, |
|
"loss": 0.1346, |
|
"step": 1110 |
|
}, |
|
{ |
|
"epoch": 0.111, |
|
"eval_cos_sim": 0.864433228969574, |
|
"eval_loss": 0.13654097273098886, |
|
"eval_runtime": 165.0965, |
|
"eval_samples_per_second": 24.228, |
|
"eval_steps_per_second": 0.382, |
|
"step": 1110 |
|
}, |
|
{ |
|
"epoch": 0.112, |
|
"grad_norm": 0.1531037539243698, |
|
"learning_rate": 4.997807075247146e-05, |
|
"loss": 0.131, |
|
"step": 1120 |
|
}, |
|
{ |
|
"epoch": 0.112, |
|
"eval_cos_sim": 0.8644208908081055, |
|
"eval_loss": 0.13655049898373545, |
|
"eval_runtime": 175.2585, |
|
"eval_samples_per_second": 22.823, |
|
"eval_steps_per_second": 0.359, |
|
"step": 1120 |
|
}, |
|
{ |
|
"epoch": 0.113, |
|
"grad_norm": 0.14743933081626892, |
|
"learning_rate": 4.997426424476787e-05, |
|
"loss": 0.131, |
|
"step": 1130 |
|
}, |
|
{ |
|
"epoch": 0.113, |
|
"eval_cos_sim": 0.8642333745956421, |
|
"eval_loss": 0.1367411518310255, |
|
"eval_runtime": 175.2554, |
|
"eval_samples_per_second": 22.824, |
|
"eval_steps_per_second": 0.359, |
|
"step": 1130 |
|
}, |
|
{ |
|
"epoch": 0.114, |
|
"grad_norm": 0.15171775221824646, |
|
"learning_rate": 4.997015343353585e-05, |
|
"loss": 0.1288, |
|
"step": 1140 |
|
}, |
|
{ |
|
"epoch": 0.114, |
|
"eval_cos_sim": 0.864815890789032, |
|
"eval_loss": 0.13617111923443737, |
|
"eval_runtime": 168.6886, |
|
"eval_samples_per_second": 23.712, |
|
"eval_steps_per_second": 0.373, |
|
"step": 1140 |
|
}, |
|
{ |
|
"epoch": 0.115, |
|
"grad_norm": 0.17678213119506836, |
|
"learning_rate": 4.996573836886435e-05, |
|
"loss": 0.1318, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 0.115, |
|
"eval_cos_sim": 0.865388035774231, |
|
"eval_loss": 0.13559978248822155, |
|
"eval_runtime": 164.5713, |
|
"eval_samples_per_second": 24.306, |
|
"eval_steps_per_second": 0.383, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 0.116, |
|
"grad_norm": 0.19686037302017212, |
|
"learning_rate": 4.996101910454953e-05, |
|
"loss": 0.1328, |
|
"step": 1160 |
|
}, |
|
{ |
|
"epoch": 0.116, |
|
"eval_cos_sim": 0.8653638362884521, |
|
"eval_loss": 0.13562491752850475, |
|
"eval_runtime": 162.5909, |
|
"eval_samples_per_second": 24.602, |
|
"eval_steps_per_second": 0.387, |
|
"step": 1160 |
|
}, |
|
{ |
|
"epoch": 0.117, |
|
"grad_norm": 0.13033832609653473, |
|
"learning_rate": 4.995599569809414e-05, |
|
"loss": 0.1314, |
|
"step": 1170 |
|
}, |
|
{ |
|
"epoch": 0.117, |
|
"eval_cos_sim": 0.8652835488319397, |
|
"eval_loss": 0.1357041087363905, |
|
"eval_runtime": 166.4639, |
|
"eval_samples_per_second": 24.029, |
|
"eval_steps_per_second": 0.378, |
|
"step": 1170 |
|
}, |
|
{ |
|
"epoch": 0.118, |
|
"grad_norm": 0.14916931092739105, |
|
"learning_rate": 4.995066821070679e-05, |
|
"loss": 0.1313, |
|
"step": 1180 |
|
}, |
|
{ |
|
"epoch": 0.118, |
|
"eval_cos_sim": 0.8656159043312073, |
|
"eval_loss": 0.13536836673962535, |
|
"eval_runtime": 162.1775, |
|
"eval_samples_per_second": 24.664, |
|
"eval_steps_per_second": 0.388, |
|
"step": 1180 |
|
}, |
|
{ |
|
"epoch": 0.119, |
|
"grad_norm": 0.14063435792922974, |
|
"learning_rate": 4.994503670730125e-05, |
|
"loss": 0.1292, |
|
"step": 1190 |
|
}, |
|
{ |
|
"epoch": 0.119, |
|
"eval_cos_sim": 0.8658972978591919, |
|
"eval_loss": 0.13509506275402963, |
|
"eval_runtime": 163.733, |
|
"eval_samples_per_second": 24.43, |
|
"eval_steps_per_second": 0.385, |
|
"step": 1190 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"grad_norm": 0.12632516026496887, |
|
"learning_rate": 4.993910125649561e-05, |
|
"loss": 0.1291, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"eval_cos_sim": 0.8662503361701965, |
|
"eval_loss": 0.13473713161694467, |
|
"eval_runtime": 165.846, |
|
"eval_samples_per_second": 24.119, |
|
"eval_steps_per_second": 0.38, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.121, |
|
"grad_norm": 0.1310836374759674, |
|
"learning_rate": 4.9932861930611454e-05, |
|
"loss": 0.1323, |
|
"step": 1210 |
|
}, |
|
{ |
|
"epoch": 0.121, |
|
"eval_cos_sim": 0.8662631511688232, |
|
"eval_loss": 0.13472085668789804, |
|
"eval_runtime": 165.8256, |
|
"eval_samples_per_second": 24.122, |
|
"eval_steps_per_second": 0.38, |
|
"step": 1210 |
|
}, |
|
{ |
|
"epoch": 0.122, |
|
"grad_norm": 0.14743076264858246, |
|
"learning_rate": 4.992631880567301e-05, |
|
"loss": 0.1296, |
|
"step": 1220 |
|
}, |
|
{ |
|
"epoch": 0.122, |
|
"eval_cos_sim": 0.8664645552635193, |
|
"eval_loss": 0.13453043796765268, |
|
"eval_runtime": 161.1688, |
|
"eval_samples_per_second": 24.819, |
|
"eval_steps_per_second": 0.391, |
|
"step": 1220 |
|
}, |
|
{ |
|
"epoch": 0.123, |
|
"grad_norm": 0.14941203594207764, |
|
"learning_rate": 4.991947196140618e-05, |
|
"loss": 0.127, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 0.123, |
|
"eval_cos_sim": 0.8669182658195496, |
|
"eval_loss": 0.1340716586326307, |
|
"eval_runtime": 159.0609, |
|
"eval_samples_per_second": 25.148, |
|
"eval_steps_per_second": 0.396, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 0.124, |
|
"grad_norm": 0.15963555872440338, |
|
"learning_rate": 4.991232148123761e-05, |
|
"loss": 0.1286, |
|
"step": 1240 |
|
}, |
|
{ |
|
"epoch": 0.124, |
|
"eval_cos_sim": 0.8672899007797241, |
|
"eval_loss": 0.13370788147198617, |
|
"eval_runtime": 162.1984, |
|
"eval_samples_per_second": 24.661, |
|
"eval_steps_per_second": 0.388, |
|
"step": 1240 |
|
}, |
|
{ |
|
"epoch": 0.125, |
|
"grad_norm": 0.12001099437475204, |
|
"learning_rate": 4.990486745229364e-05, |
|
"loss": 0.1289, |
|
"step": 1250 |
|
}, |
|
{ |
|
"epoch": 0.125, |
|
"eval_cos_sim": 0.8670727610588074, |
|
"eval_loss": 0.13392866852032603, |
|
"eval_runtime": 161.0006, |
|
"eval_samples_per_second": 24.845, |
|
"eval_steps_per_second": 0.391, |
|
"step": 1250 |
|
}, |
|
{ |
|
"epoch": 0.126, |
|
"grad_norm": 0.13203372061252594, |
|
"learning_rate": 4.989710996539926e-05, |
|
"loss": 0.1268, |
|
"step": 1260 |
|
}, |
|
{ |
|
"epoch": 0.126, |
|
"eval_cos_sim": 0.8671303987503052, |
|
"eval_loss": 0.1338693347190565, |
|
"eval_runtime": 164.8756, |
|
"eval_samples_per_second": 24.261, |
|
"eval_steps_per_second": 0.382, |
|
"step": 1260 |
|
}, |
|
{ |
|
"epoch": 0.127, |
|
"grad_norm": 0.1145872101187706, |
|
"learning_rate": 4.9889049115077005e-05, |
|
"loss": 0.1274, |
|
"step": 1270 |
|
}, |
|
{ |
|
"epoch": 0.127, |
|
"eval_cos_sim": 0.8675019145011902, |
|
"eval_loss": 0.13349107553708017, |
|
"eval_runtime": 169.3092, |
|
"eval_samples_per_second": 23.625, |
|
"eval_steps_per_second": 0.372, |
|
"step": 1270 |
|
}, |
|
{ |
|
"epoch": 0.128, |
|
"grad_norm": 0.1377398520708084, |
|
"learning_rate": 4.988068499954578e-05, |
|
"loss": 0.1317, |
|
"step": 1280 |
|
}, |
|
{ |
|
"epoch": 0.128, |
|
"eval_cos_sim": 0.8676916360855103, |
|
"eval_loss": 0.1333048849319166, |
|
"eval_runtime": 159.5371, |
|
"eval_samples_per_second": 25.073, |
|
"eval_steps_per_second": 0.395, |
|
"step": 1280 |
|
}, |
|
{ |
|
"epoch": 0.129, |
|
"grad_norm": 0.170301154255867, |
|
"learning_rate": 4.987201772071971e-05, |
|
"loss": 0.1285, |
|
"step": 1290 |
|
}, |
|
{ |
|
"epoch": 0.129, |
|
"eval_cos_sim": 0.8680738806724548, |
|
"eval_loss": 0.13292226507412852, |
|
"eval_runtime": 176.1386, |
|
"eval_samples_per_second": 22.709, |
|
"eval_steps_per_second": 0.358, |
|
"step": 1290 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"grad_norm": 0.1578381359577179, |
|
"learning_rate": 4.9863047384206835e-05, |
|
"loss": 0.1295, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"eval_cos_sim": 0.8683300614356995, |
|
"eval_loss": 0.13265489532696664, |
|
"eval_runtime": 164.7229, |
|
"eval_samples_per_second": 24.283, |
|
"eval_steps_per_second": 0.382, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 0.131, |
|
"grad_norm": 0.10768606513738632, |
|
"learning_rate": 4.985377409930789e-05, |
|
"loss": 0.132, |
|
"step": 1310 |
|
}, |
|
{ |
|
"epoch": 0.131, |
|
"eval_cos_sim": 0.8683825731277466, |
|
"eval_loss": 0.13260123255001963, |
|
"eval_runtime": 163.9895, |
|
"eval_samples_per_second": 24.392, |
|
"eval_steps_per_second": 0.384, |
|
"step": 1310 |
|
}, |
|
{ |
|
"epoch": 0.132, |
|
"grad_norm": 0.15251098573207855, |
|
"learning_rate": 4.984419797901491e-05, |
|
"loss": 0.128, |
|
"step": 1320 |
|
}, |
|
{ |
|
"epoch": 0.132, |
|
"eval_cos_sim": 0.868379533290863, |
|
"eval_loss": 0.1326023030494398, |
|
"eval_runtime": 160.1598, |
|
"eval_samples_per_second": 24.975, |
|
"eval_steps_per_second": 0.393, |
|
"step": 1320 |
|
}, |
|
{ |
|
"epoch": 0.133, |
|
"grad_norm": 0.1114293709397316, |
|
"learning_rate": 4.983431914000991e-05, |
|
"loss": 0.1293, |
|
"step": 1330 |
|
}, |
|
{ |
|
"epoch": 0.133, |
|
"eval_cos_sim": 0.8686286211013794, |
|
"eval_loss": 0.13235191013562145, |
|
"eval_runtime": 168.1325, |
|
"eval_samples_per_second": 23.791, |
|
"eval_steps_per_second": 0.375, |
|
"step": 1330 |
|
}, |
|
{ |
|
"epoch": 0.134, |
|
"grad_norm": 0.11598256975412369, |
|
"learning_rate": 4.982413770266342e-05, |
|
"loss": 0.1321, |
|
"step": 1340 |
|
}, |
|
{ |
|
"epoch": 0.134, |
|
"eval_cos_sim": 0.8685267567634583, |
|
"eval_loss": 0.1324642758582777, |
|
"eval_runtime": 168.2142, |
|
"eval_samples_per_second": 23.779, |
|
"eval_steps_per_second": 0.375, |
|
"step": 1340 |
|
}, |
|
{ |
|
"epoch": 0.135, |
|
"grad_norm": 0.17224518954753876, |
|
"learning_rate": 4.9813653791033057e-05, |
|
"loss": 0.1293, |
|
"step": 1350 |
|
}, |
|
{ |
|
"epoch": 0.135, |
|
"eval_cos_sim": 0.8683568239212036, |
|
"eval_loss": 0.13261960174786508, |
|
"eval_runtime": 160.932, |
|
"eval_samples_per_second": 24.855, |
|
"eval_steps_per_second": 0.391, |
|
"step": 1350 |
|
}, |
|
{ |
|
"epoch": 0.136, |
|
"grad_norm": 0.10910200327634811, |
|
"learning_rate": 4.980286753286195e-05, |
|
"loss": 0.1279, |
|
"step": 1360 |
|
}, |
|
{ |
|
"epoch": 0.136, |
|
"eval_cos_sim": 0.8685951828956604, |
|
"eval_loss": 0.13237247326123178, |
|
"eval_runtime": 160.5826, |
|
"eval_samples_per_second": 24.909, |
|
"eval_steps_per_second": 0.392, |
|
"step": 1360 |
|
}, |
|
{ |
|
"epoch": 0.137, |
|
"grad_norm": 0.12568902969360352, |
|
"learning_rate": 4.979177905957726e-05, |
|
"loss": 0.1276, |
|
"step": 1370 |
|
}, |
|
{ |
|
"epoch": 0.137, |
|
"eval_cos_sim": 0.8692377209663391, |
|
"eval_loss": 0.1317250809882826, |
|
"eval_runtime": 162.4444, |
|
"eval_samples_per_second": 24.624, |
|
"eval_steps_per_second": 0.388, |
|
"step": 1370 |
|
}, |
|
{ |
|
"epoch": 0.138, |
|
"grad_norm": 0.13634935021400452, |
|
"learning_rate": 4.978038850628854e-05, |
|
"loss": 0.1287, |
|
"step": 1380 |
|
}, |
|
{ |
|
"epoch": 0.138, |
|
"eval_cos_sim": 0.8693557381629944, |
|
"eval_loss": 0.13161035587536757, |
|
"eval_runtime": 167.3015, |
|
"eval_samples_per_second": 23.909, |
|
"eval_steps_per_second": 0.377, |
|
"step": 1380 |
|
}, |
|
{ |
|
"epoch": 0.139, |
|
"grad_norm": 0.10860959440469742, |
|
"learning_rate": 4.976869601178609e-05, |
|
"loss": 0.1263, |
|
"step": 1390 |
|
}, |
|
{ |
|
"epoch": 0.139, |
|
"eval_cos_sim": 0.8695587515830994, |
|
"eval_loss": 0.13140406753766004, |
|
"eval_runtime": 185.1037, |
|
"eval_samples_per_second": 21.61, |
|
"eval_steps_per_second": 0.34, |
|
"step": 1390 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"grad_norm": 0.10750249028205872, |
|
"learning_rate": 4.975670171853926e-05, |
|
"loss": 0.1262, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"eval_cos_sim": 0.8693708181381226, |
|
"eval_loss": 0.13159809972989026, |
|
"eval_runtime": 194.8811, |
|
"eval_samples_per_second": 20.525, |
|
"eval_steps_per_second": 0.323, |
|
"step": 1400 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 10000, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9223372036854775807, |
|
"save_steps": 10, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 0.0, |
|
"train_batch_size": 160, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|