|
{ |
|
"best_metric": 0.7404754757881165, |
|
"best_model_checkpoint": "./twitter-xlmr-clip-finetuned-all-123/checkpoint-11500", |
|
"epoch": 3.1866281866281865, |
|
"eval_steps": 500, |
|
"global_step": 26500, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.06, |
|
"grad_norm": 13.600483894348145, |
|
"learning_rate": 4.994047619047619e-05, |
|
"loss": 0.6444, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"eval_f1": 0.41968345507991583, |
|
"eval_loss": 0.8771085143089294, |
|
"eval_precision": 0.6905442329947281, |
|
"eval_recall": 0.4537466834241028, |
|
"eval_runtime": 9.714, |
|
"eval_samples_per_second": 90.385, |
|
"eval_steps_per_second": 5.662, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"grad_norm": 3.1294376850128174, |
|
"learning_rate": 4.988035113035113e-05, |
|
"loss": 0.5499, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"eval_f1": 0.41168390354058104, |
|
"eval_loss": 0.8166923522949219, |
|
"eval_precision": 0.7197164083396941, |
|
"eval_recall": 0.4260270911883815, |
|
"eval_runtime": 10.112, |
|
"eval_samples_per_second": 86.827, |
|
"eval_steps_per_second": 5.439, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"grad_norm": 3.979219913482666, |
|
"learning_rate": 4.982022607022607e-05, |
|
"loss": 0.5357, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"eval_f1": 0.44236857569210003, |
|
"eval_loss": 0.8084450364112854, |
|
"eval_precision": 0.7263357669536159, |
|
"eval_recall": 0.4695992179863147, |
|
"eval_runtime": 9.4795, |
|
"eval_samples_per_second": 92.621, |
|
"eval_steps_per_second": 5.802, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"grad_norm": 4.673430442810059, |
|
"learning_rate": 4.9760341510341516e-05, |
|
"loss": 0.5175, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"eval_f1": 0.37174117930428513, |
|
"eval_loss": 0.8703882098197937, |
|
"eval_precision": 0.6665612592670672, |
|
"eval_recall": 0.426614532420984, |
|
"eval_runtime": 10.0742, |
|
"eval_samples_per_second": 87.153, |
|
"eval_steps_per_second": 5.459, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"grad_norm": 4.538591384887695, |
|
"learning_rate": 4.9700216450216456e-05, |
|
"loss": 0.5285, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"eval_f1": 0.42208412407033724, |
|
"eval_loss": 0.906663179397583, |
|
"eval_precision": 0.7528800535330206, |
|
"eval_recall": 0.45646604291765575, |
|
"eval_runtime": 11.1647, |
|
"eval_samples_per_second": 78.641, |
|
"eval_steps_per_second": 4.926, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"grad_norm": 3.0253360271453857, |
|
"learning_rate": 4.964009139009139e-05, |
|
"loss": 0.5081, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"eval_f1": 0.6355885803741356, |
|
"eval_loss": 0.7414107322692871, |
|
"eval_precision": 0.7654892081053667, |
|
"eval_recall": 0.6113652655588139, |
|
"eval_runtime": 10.1707, |
|
"eval_samples_per_second": 86.326, |
|
"eval_steps_per_second": 5.408, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"grad_norm": 7.686459541320801, |
|
"learning_rate": 4.957996632996633e-05, |
|
"loss": 0.506, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"eval_f1": 0.5785601517423107, |
|
"eval_loss": 0.8712885975837708, |
|
"eval_precision": 0.5829865278619871, |
|
"eval_recall": 0.659145370758274, |
|
"eval_runtime": 9.4937, |
|
"eval_samples_per_second": 92.483, |
|
"eval_steps_per_second": 5.793, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"grad_norm": 5.288177967071533, |
|
"learning_rate": 4.951984126984127e-05, |
|
"loss": 0.5049, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"eval_f1": 0.4464146254881079, |
|
"eval_loss": 0.751436173915863, |
|
"eval_precision": 0.5550960735171261, |
|
"eval_recall": 0.4567546432062561, |
|
"eval_runtime": 10.1399, |
|
"eval_samples_per_second": 86.589, |
|
"eval_steps_per_second": 5.424, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"grad_norm": 2.32623028755188, |
|
"learning_rate": 4.945971620971621e-05, |
|
"loss": 0.4999, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"eval_f1": 0.5767450661581325, |
|
"eval_loss": 0.7584463357925415, |
|
"eval_precision": 0.6519354622940794, |
|
"eval_recall": 0.5502052785923753, |
|
"eval_runtime": 9.964, |
|
"eval_samples_per_second": 88.117, |
|
"eval_steps_per_second": 5.52, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"grad_norm": 8.978556632995605, |
|
"learning_rate": 4.939959114959115e-05, |
|
"loss": 0.507, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"eval_f1": 0.5635568884134308, |
|
"eval_loss": 0.8071982860565186, |
|
"eval_precision": 0.6478587943382395, |
|
"eval_recall": 0.5625815761299632, |
|
"eval_runtime": 9.922, |
|
"eval_samples_per_second": 88.49, |
|
"eval_steps_per_second": 5.543, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"grad_norm": 5.773237228393555, |
|
"learning_rate": 4.933946608946609e-05, |
|
"loss": 0.5048, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"eval_f1": 0.5730277716509274, |
|
"eval_loss": 0.8080196380615234, |
|
"eval_precision": 0.6259898141973613, |
|
"eval_recall": 0.5725429409300378, |
|
"eval_runtime": 10.1691, |
|
"eval_samples_per_second": 86.34, |
|
"eval_steps_per_second": 5.409, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"grad_norm": 4.596500873565674, |
|
"learning_rate": 4.9279461279461284e-05, |
|
"loss": 0.4907, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"eval_f1": 0.522356162116029, |
|
"eval_loss": 0.7966476082801819, |
|
"eval_precision": 0.6975785731883293, |
|
"eval_recall": 0.5138146441372248, |
|
"eval_runtime": 10.1124, |
|
"eval_samples_per_second": 86.824, |
|
"eval_steps_per_second": 5.439, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"grad_norm": 4.815864562988281, |
|
"learning_rate": 4.9219336219336224e-05, |
|
"loss": 0.493, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"eval_f1": 0.4921730387816156, |
|
"eval_loss": 0.8192508220672607, |
|
"eval_precision": 0.7098761086589401, |
|
"eval_recall": 0.4948889819857562, |
|
"eval_runtime": 10.12, |
|
"eval_samples_per_second": 86.759, |
|
"eval_steps_per_second": 5.435, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"grad_norm": 2.7458622455596924, |
|
"learning_rate": 4.915921115921116e-05, |
|
"loss": 0.4668, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"eval_f1": 0.6501053053856183, |
|
"eval_loss": 0.7501620650291443, |
|
"eval_precision": 0.6281644378579914, |
|
"eval_recall": 0.6941954103244425, |
|
"eval_runtime": 9.7011, |
|
"eval_samples_per_second": 90.505, |
|
"eval_steps_per_second": 5.669, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"grad_norm": 6.319346904754639, |
|
"learning_rate": 4.90990860990861e-05, |
|
"loss": 0.4717, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"eval_f1": 0.5190561121359437, |
|
"eval_loss": 0.7636385560035706, |
|
"eval_precision": 0.6372459240106298, |
|
"eval_recall": 0.5109072289717451, |
|
"eval_runtime": 9.9019, |
|
"eval_samples_per_second": 88.67, |
|
"eval_steps_per_second": 5.554, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"grad_norm": 4.232970714569092, |
|
"learning_rate": 4.903896103896104e-05, |
|
"loss": 0.4774, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"eval_f1": 0.5587125288791309, |
|
"eval_loss": 0.765232503414154, |
|
"eval_precision": 0.7513256527294695, |
|
"eval_recall": 0.5360405902341386, |
|
"eval_runtime": 10.3268, |
|
"eval_samples_per_second": 85.022, |
|
"eval_steps_per_second": 5.326, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"grad_norm": 6.469419479370117, |
|
"learning_rate": 4.897883597883598e-05, |
|
"loss": 0.4676, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"eval_f1": 0.5836074412050168, |
|
"eval_loss": 0.8481860756874084, |
|
"eval_precision": 0.6371603008082242, |
|
"eval_recall": 0.5918316808639389, |
|
"eval_runtime": 10.1025, |
|
"eval_samples_per_second": 86.909, |
|
"eval_steps_per_second": 5.444, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 1.08, |
|
"grad_norm": 6.76945161819458, |
|
"learning_rate": 4.891871091871092e-05, |
|
"loss": 0.4361, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 1.08, |
|
"eval_f1": 0.5175478304159831, |
|
"eval_loss": 0.7456216812133789, |
|
"eval_precision": 0.668652900688299, |
|
"eval_recall": 0.5176800260671229, |
|
"eval_runtime": 9.5682, |
|
"eval_samples_per_second": 91.762, |
|
"eval_steps_per_second": 5.748, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"grad_norm": 11.62441349029541, |
|
"learning_rate": 4.885858585858586e-05, |
|
"loss": 0.4536, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"eval_f1": 0.5155711517804843, |
|
"eval_loss": 0.8448612689971924, |
|
"eval_precision": 0.73633642018397, |
|
"eval_recall": 0.5160256947353722, |
|
"eval_runtime": 10.0725, |
|
"eval_samples_per_second": 87.168, |
|
"eval_steps_per_second": 5.46, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"grad_norm": 6.764497756958008, |
|
"learning_rate": 4.879858104858105e-05, |
|
"loss": 0.4277, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"eval_f1": 0.5173349712389866, |
|
"eval_loss": 0.8647661805152893, |
|
"eval_precision": 0.6381631231821719, |
|
"eval_recall": 0.5247414234511009, |
|
"eval_runtime": 10.0414, |
|
"eval_samples_per_second": 87.438, |
|
"eval_steps_per_second": 5.477, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"grad_norm": 6.405815601348877, |
|
"learning_rate": 4.873845598845599e-05, |
|
"loss": 0.4444, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"eval_f1": 0.5958880582085585, |
|
"eval_loss": 0.8722940683364868, |
|
"eval_precision": 0.5870961573122971, |
|
"eval_recall": 0.6621933621933621, |
|
"eval_runtime": 10.0728, |
|
"eval_samples_per_second": 87.166, |
|
"eval_steps_per_second": 5.46, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 1.32, |
|
"grad_norm": 3.5875844955444336, |
|
"learning_rate": 4.8678330928330925e-05, |
|
"loss": 0.4269, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 1.32, |
|
"eval_f1": 0.5525570018606619, |
|
"eval_loss": 0.7856002449989319, |
|
"eval_precision": 0.6150631452676062, |
|
"eval_recall": 0.5520914211236793, |
|
"eval_runtime": 9.6968, |
|
"eval_samples_per_second": 90.545, |
|
"eval_steps_per_second": 5.672, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 1.38, |
|
"grad_norm": 8.949612617492676, |
|
"learning_rate": 4.8618205868205866e-05, |
|
"loss": 0.4322, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 1.38, |
|
"eval_f1": 0.6400986522737416, |
|
"eval_loss": 0.7404754757881165, |
|
"eval_precision": 0.6430963017398649, |
|
"eval_recall": 0.6553870502257598, |
|
"eval_runtime": 10.249, |
|
"eval_samples_per_second": 85.667, |
|
"eval_steps_per_second": 5.366, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"grad_norm": 4.530700206756592, |
|
"learning_rate": 4.8558080808080806e-05, |
|
"loss": 0.4435, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"eval_f1": 0.592282401280643, |
|
"eval_loss": 0.7682257294654846, |
|
"eval_precision": 0.6568389647238856, |
|
"eval_recall": 0.5751068286552158, |
|
"eval_runtime": 9.2229, |
|
"eval_samples_per_second": 95.197, |
|
"eval_steps_per_second": 5.963, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"grad_norm": 8.574906349182129, |
|
"learning_rate": 4.8497955747955746e-05, |
|
"loss": 0.4429, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"eval_f1": 0.5544893324569983, |
|
"eval_loss": 0.8823776245117188, |
|
"eval_precision": 0.595552820840211, |
|
"eval_recall": 0.6006423683843037, |
|
"eval_runtime": 9.7179, |
|
"eval_samples_per_second": 90.349, |
|
"eval_steps_per_second": 5.66, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 1.56, |
|
"grad_norm": 5.551417827606201, |
|
"learning_rate": 4.843783068783069e-05, |
|
"loss": 0.4381, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 1.56, |
|
"eval_f1": 0.4394867511583576, |
|
"eval_loss": 0.7878994941711426, |
|
"eval_precision": 0.44570791527313264, |
|
"eval_recall": 0.4727226178839082, |
|
"eval_runtime": 9.3935, |
|
"eval_samples_per_second": 93.469, |
|
"eval_steps_per_second": 5.855, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 1.62, |
|
"grad_norm": 3.644160032272339, |
|
"learning_rate": 4.837770562770563e-05, |
|
"loss": 0.4389, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 1.62, |
|
"eval_f1": 0.6502064155668764, |
|
"eval_loss": 0.7554711103439331, |
|
"eval_precision": 0.625995830541285, |
|
"eval_recall": 0.6983587022296699, |
|
"eval_runtime": 10.4343, |
|
"eval_samples_per_second": 84.145, |
|
"eval_steps_per_second": 5.271, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"grad_norm": 13.295586585998535, |
|
"learning_rate": 4.8317580567580574e-05, |
|
"loss": 0.4529, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"eval_f1": 0.5662591977213387, |
|
"eval_loss": 0.7981444597244263, |
|
"eval_precision": 0.6620850014647007, |
|
"eval_recall": 0.5546497230368198, |
|
"eval_runtime": 10.4044, |
|
"eval_samples_per_second": 84.388, |
|
"eval_steps_per_second": 5.286, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 1.74, |
|
"grad_norm": 5.176441192626953, |
|
"learning_rate": 4.825757575757576e-05, |
|
"loss": 0.4509, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 1.74, |
|
"eval_f1": 0.6171621860629642, |
|
"eval_loss": 0.7826597690582275, |
|
"eval_precision": 0.6159527120477252, |
|
"eval_recall": 0.6321109714658103, |
|
"eval_runtime": 10.9264, |
|
"eval_samples_per_second": 80.356, |
|
"eval_steps_per_second": 5.034, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"grad_norm": 5.209570407867432, |
|
"learning_rate": 4.81974506974507e-05, |
|
"loss": 0.4413, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"eval_f1": 0.6285207961745803, |
|
"eval_loss": 0.7894985675811768, |
|
"eval_precision": 0.6381086170916679, |
|
"eval_recall": 0.6356514453288648, |
|
"eval_runtime": 10.0334, |
|
"eval_samples_per_second": 87.508, |
|
"eval_steps_per_second": 5.482, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 1.86, |
|
"grad_norm": 6.420750141143799, |
|
"learning_rate": 4.813732563732564e-05, |
|
"loss": 0.4198, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 1.86, |
|
"eval_f1": 0.5602075791622673, |
|
"eval_loss": 0.8344631195068359, |
|
"eval_precision": 0.593987244882881, |
|
"eval_recall": 0.5526006609877578, |
|
"eval_runtime": 9.8155, |
|
"eval_samples_per_second": 89.45, |
|
"eval_steps_per_second": 5.603, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 1.92, |
|
"grad_norm": 18.093042373657227, |
|
"learning_rate": 4.807720057720058e-05, |
|
"loss": 0.4415, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 1.92, |
|
"eval_f1": 0.6458964698548891, |
|
"eval_loss": 0.8745749592781067, |
|
"eval_precision": 0.6614986284672897, |
|
"eval_recall": 0.6612456360843457, |
|
"eval_runtime": 10.324, |
|
"eval_samples_per_second": 85.044, |
|
"eval_steps_per_second": 5.327, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 1.98, |
|
"grad_norm": 3.2640116214752197, |
|
"learning_rate": 4.801707551707552e-05, |
|
"loss": 0.443, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 1.98, |
|
"eval_f1": 0.5352104934017916, |
|
"eval_loss": 0.8155062794685364, |
|
"eval_precision": 0.6515944452522903, |
|
"eval_recall": 0.5264720942140296, |
|
"eval_runtime": 10.2184, |
|
"eval_samples_per_second": 85.923, |
|
"eval_steps_per_second": 5.382, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"grad_norm": 6.075052738189697, |
|
"learning_rate": 4.795695045695046e-05, |
|
"loss": 0.4068, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"eval_f1": 0.5975450943097163, |
|
"eval_loss": 0.7641533613204956, |
|
"eval_precision": 0.5837727558066541, |
|
"eval_recall": 0.6219876181166503, |
|
"eval_runtime": 9.7472, |
|
"eval_samples_per_second": 90.077, |
|
"eval_steps_per_second": 5.643, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"grad_norm": 2.704364538192749, |
|
"learning_rate": 4.78968253968254e-05, |
|
"loss": 0.3905, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"eval_f1": 0.573958551424587, |
|
"eval_loss": 0.7928948998451233, |
|
"eval_precision": 0.6719886309250943, |
|
"eval_recall": 0.5555350742447516, |
|
"eval_runtime": 9.8882, |
|
"eval_samples_per_second": 88.792, |
|
"eval_steps_per_second": 5.562, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 2.16, |
|
"grad_norm": 2.702869176864624, |
|
"learning_rate": 4.783670033670034e-05, |
|
"loss": 0.3969, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 2.16, |
|
"eval_f1": 0.46873679220558384, |
|
"eval_loss": 0.8949081897735596, |
|
"eval_precision": 0.5330288849723479, |
|
"eval_recall": 0.4771326164874552, |
|
"eval_runtime": 9.7502, |
|
"eval_samples_per_second": 90.05, |
|
"eval_steps_per_second": 5.641, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"grad_norm": 2.651677370071411, |
|
"learning_rate": 4.777657527657528e-05, |
|
"loss": 0.3841, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"eval_f1": 0.5492398227556807, |
|
"eval_loss": 0.9232780933380127, |
|
"eval_precision": 0.6027874564459931, |
|
"eval_recall": 0.5410119629474468, |
|
"eval_runtime": 9.8226, |
|
"eval_samples_per_second": 89.386, |
|
"eval_steps_per_second": 5.599, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 2.28, |
|
"grad_norm": 2.9351656436920166, |
|
"learning_rate": 4.771645021645022e-05, |
|
"loss": 0.4031, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 2.28, |
|
"eval_f1": 0.5776004425555427, |
|
"eval_loss": 0.7720491290092468, |
|
"eval_precision": 0.6088870316942702, |
|
"eval_recall": 0.5719396732299958, |
|
"eval_runtime": 9.6849, |
|
"eval_samples_per_second": 90.656, |
|
"eval_steps_per_second": 5.679, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 2.34, |
|
"grad_norm": 10.01524829864502, |
|
"learning_rate": 4.765632515632516e-05, |
|
"loss": 0.3878, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 2.34, |
|
"eval_f1": 0.5317940446482866, |
|
"eval_loss": 0.9046021103858948, |
|
"eval_precision": 0.6265449365449366, |
|
"eval_recall": 0.5357957454731649, |
|
"eval_runtime": 9.4111, |
|
"eval_samples_per_second": 93.294, |
|
"eval_steps_per_second": 5.844, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 2.41, |
|
"grad_norm": 1.4061155319213867, |
|
"learning_rate": 4.75962000962001e-05, |
|
"loss": 0.4001, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 2.41, |
|
"eval_f1": 0.5760553799542051, |
|
"eval_loss": 0.8451133370399475, |
|
"eval_precision": 0.6959572062018271, |
|
"eval_recall": 0.562243634501699, |
|
"eval_runtime": 9.8527, |
|
"eval_samples_per_second": 89.112, |
|
"eval_steps_per_second": 5.582, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 2.47, |
|
"grad_norm": 2.654297113418579, |
|
"learning_rate": 4.753607503607504e-05, |
|
"loss": 0.3997, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 2.47, |
|
"eval_f1": 0.5540787433460292, |
|
"eval_loss": 0.8963695168495178, |
|
"eval_precision": 0.6169583136571495, |
|
"eval_recall": 0.5665354000837871, |
|
"eval_runtime": 9.8314, |
|
"eval_samples_per_second": 89.306, |
|
"eval_steps_per_second": 5.594, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 2.53, |
|
"grad_norm": 2.318394184112549, |
|
"learning_rate": 4.747607022607023e-05, |
|
"loss": 0.3945, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 2.53, |
|
"eval_f1": 0.5195041284097078, |
|
"eval_loss": 0.8000777363777161, |
|
"eval_precision": 0.5553255357437211, |
|
"eval_recall": 0.5180002792906019, |
|
"eval_runtime": 10.1975, |
|
"eval_samples_per_second": 86.099, |
|
"eval_steps_per_second": 5.393, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 2.59, |
|
"grad_norm": 6.022315502166748, |
|
"learning_rate": 4.741594516594517e-05, |
|
"loss": 0.4005, |
|
"step": 21500 |
|
}, |
|
{ |
|
"epoch": 2.59, |
|
"eval_f1": 0.5169696711549415, |
|
"eval_loss": 0.8356830477714539, |
|
"eval_precision": 0.5518686564828851, |
|
"eval_recall": 0.5099939487036261, |
|
"eval_runtime": 9.9411, |
|
"eval_samples_per_second": 88.32, |
|
"eval_steps_per_second": 5.533, |
|
"step": 21500 |
|
}, |
|
{ |
|
"epoch": 2.65, |
|
"grad_norm": 3.7972123622894287, |
|
"learning_rate": 4.735582010582011e-05, |
|
"loss": 0.3907, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 2.65, |
|
"eval_f1": 0.5552096784695296, |
|
"eval_loss": 0.8016623258590698, |
|
"eval_precision": 0.5884397258734974, |
|
"eval_recall": 0.5408509053670344, |
|
"eval_runtime": 9.5287, |
|
"eval_samples_per_second": 92.142, |
|
"eval_steps_per_second": 5.772, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 2.71, |
|
"grad_norm": 6.792105674743652, |
|
"learning_rate": 4.729569504569505e-05, |
|
"loss": 0.3858, |
|
"step": 22500 |
|
}, |
|
{ |
|
"epoch": 2.71, |
|
"eval_f1": 0.5861875804431639, |
|
"eval_loss": 0.8283036351203918, |
|
"eval_precision": 0.6035754454158798, |
|
"eval_recall": 0.5791807475678443, |
|
"eval_runtime": 9.9189, |
|
"eval_samples_per_second": 88.518, |
|
"eval_steps_per_second": 5.545, |
|
"step": 22500 |
|
}, |
|
{ |
|
"epoch": 2.77, |
|
"grad_norm": 1.6373685598373413, |
|
"learning_rate": 4.723556998556999e-05, |
|
"loss": 0.3973, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 2.77, |
|
"eval_f1": 0.5393179472998001, |
|
"eval_loss": 0.9024349451065063, |
|
"eval_precision": 0.5769620560542147, |
|
"eval_recall": 0.5664646464646464, |
|
"eval_runtime": 9.6142, |
|
"eval_samples_per_second": 91.324, |
|
"eval_steps_per_second": 5.721, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 2.83, |
|
"grad_norm": 2.8107876777648926, |
|
"learning_rate": 4.717544492544493e-05, |
|
"loss": 0.3969, |
|
"step": 23500 |
|
}, |
|
{ |
|
"epoch": 2.83, |
|
"eval_f1": 0.5558204883761618, |
|
"eval_loss": 0.8340879678726196, |
|
"eval_precision": 0.564202659920544, |
|
"eval_recall": 0.5527868547223386, |
|
"eval_runtime": 9.7568, |
|
"eval_samples_per_second": 89.988, |
|
"eval_steps_per_second": 5.637, |
|
"step": 23500 |
|
}, |
|
{ |
|
"epoch": 2.89, |
|
"grad_norm": 3.1326379776000977, |
|
"learning_rate": 4.7115319865319865e-05, |
|
"loss": 0.3911, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 2.89, |
|
"eval_f1": 0.5070306794950141, |
|
"eval_loss": 0.8966326117515564, |
|
"eval_precision": 0.6045140236228393, |
|
"eval_recall": 0.5087874133035424, |
|
"eval_runtime": 140.3321, |
|
"eval_samples_per_second": 6.257, |
|
"eval_steps_per_second": 0.392, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 2.95, |
|
"grad_norm": 4.015880107879639, |
|
"learning_rate": 4.7055194805194805e-05, |
|
"loss": 0.3856, |
|
"step": 24500 |
|
}, |
|
{ |
|
"epoch": 2.95, |
|
"eval_f1": 0.5688512961191111, |
|
"eval_loss": 0.8348873853683472, |
|
"eval_precision": 0.6021456496959962, |
|
"eval_recall": 0.5586072708653353, |
|
"eval_runtime": 77.3964, |
|
"eval_samples_per_second": 11.344, |
|
"eval_steps_per_second": 0.711, |
|
"step": 24500 |
|
}, |
|
{ |
|
"epoch": 3.01, |
|
"grad_norm": 10.381326675415039, |
|
"learning_rate": 4.699518999519e-05, |
|
"loss": 0.3961, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 3.01, |
|
"eval_f1": 0.558529842992594, |
|
"eval_loss": 0.936424195766449, |
|
"eval_precision": 0.6119355440337201, |
|
"eval_recall": 0.5411525392170553, |
|
"eval_runtime": 9.7898, |
|
"eval_samples_per_second": 89.685, |
|
"eval_steps_per_second": 5.618, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 3.07, |
|
"grad_norm": 4.446761608123779, |
|
"learning_rate": 4.693506493506494e-05, |
|
"loss": 0.3301, |
|
"step": 25500 |
|
}, |
|
{ |
|
"epoch": 3.07, |
|
"eval_f1": 0.5812822447385155, |
|
"eval_loss": 0.9541723728179932, |
|
"eval_precision": 0.5757327569674934, |
|
"eval_recall": 0.6084206116464181, |
|
"eval_runtime": 9.902, |
|
"eval_samples_per_second": 88.669, |
|
"eval_steps_per_second": 5.554, |
|
"step": 25500 |
|
}, |
|
{ |
|
"epoch": 3.13, |
|
"grad_norm": 4.501039981842041, |
|
"learning_rate": 4.687493987493988e-05, |
|
"loss": 0.3385, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 3.13, |
|
"eval_f1": 0.5345940260961672, |
|
"eval_loss": 1.0137349367141724, |
|
"eval_precision": 0.5563381916292068, |
|
"eval_recall": 0.5293767164734907, |
|
"eval_runtime": 10.1055, |
|
"eval_samples_per_second": 86.883, |
|
"eval_steps_per_second": 5.443, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 3.19, |
|
"grad_norm": 1.9400558471679688, |
|
"learning_rate": 4.681481481481482e-05, |
|
"loss": 0.3475, |
|
"step": 26500 |
|
}, |
|
{ |
|
"epoch": 3.19, |
|
"eval_f1": 0.5822160079727499, |
|
"eval_loss": 0.9310874938964844, |
|
"eval_precision": 0.6358738260592424, |
|
"eval_recall": 0.5675203649397198, |
|
"eval_runtime": 9.9305, |
|
"eval_samples_per_second": 88.414, |
|
"eval_steps_per_second": 5.538, |
|
"step": 26500 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 415800, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 50, |
|
"save_steps": 500, |
|
"total_flos": 0.0, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|