|
{ |
|
"best_metric": 0.9023045897483826, |
|
"best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e3l58-l/checkpoint-17500", |
|
"epoch": 1.8664675767918089, |
|
"eval_steps": 500, |
|
"global_step": 17500, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.05332764505119454, |
|
"grad_norm": 217.40109252929688, |
|
"learning_rate": 4.911120591581342e-08, |
|
"loss": 0.4667, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.05332764505119454, |
|
"eval_loss": 1.4427576065063477, |
|
"eval_runtime": 60.328, |
|
"eval_samples_per_second": 16.361, |
|
"eval_steps_per_second": 2.055, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.10665529010238908, |
|
"grad_norm": 70.38941955566406, |
|
"learning_rate": 4.822241183162685e-08, |
|
"loss": 0.4534, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.10665529010238908, |
|
"eval_loss": 1.3823094367980957, |
|
"eval_runtime": 61.4884, |
|
"eval_samples_per_second": 16.052, |
|
"eval_steps_per_second": 2.017, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.1599829351535836, |
|
"grad_norm": 389.9967956542969, |
|
"learning_rate": 4.733361774744027e-08, |
|
"loss": 0.3753, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.1599829351535836, |
|
"eval_loss": 1.3328827619552612, |
|
"eval_runtime": 63.0378, |
|
"eval_samples_per_second": 15.657, |
|
"eval_steps_per_second": 1.967, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.21331058020477817, |
|
"grad_norm": 13.427445411682129, |
|
"learning_rate": 4.6444823663253694e-08, |
|
"loss": 0.3361, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.21331058020477817, |
|
"eval_loss": 1.2922736406326294, |
|
"eval_runtime": 63.1958, |
|
"eval_samples_per_second": 15.618, |
|
"eval_steps_per_second": 1.962, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.2666382252559727, |
|
"grad_norm": 320.7197265625, |
|
"learning_rate": 4.555602957906712e-08, |
|
"loss": 0.3597, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.2666382252559727, |
|
"eval_loss": 1.257211685180664, |
|
"eval_runtime": 63.3241, |
|
"eval_samples_per_second": 15.586, |
|
"eval_steps_per_second": 1.958, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.3199658703071672, |
|
"grad_norm": 0.0019184721168130636, |
|
"learning_rate": 4.4667235494880546e-08, |
|
"loss": 0.3042, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.3199658703071672, |
|
"eval_loss": 1.2240594625473022, |
|
"eval_runtime": 63.5118, |
|
"eval_samples_per_second": 15.54, |
|
"eval_steps_per_second": 1.952, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.37329351535836175, |
|
"grad_norm": 11.738512992858887, |
|
"learning_rate": 4.3778441410693965e-08, |
|
"loss": 0.3252, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 0.37329351535836175, |
|
"eval_loss": 1.1988952159881592, |
|
"eval_runtime": 63.5384, |
|
"eval_samples_per_second": 15.534, |
|
"eval_steps_per_second": 1.952, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 0.42662116040955633, |
|
"grad_norm": 5.839956283569336, |
|
"learning_rate": 4.28896473265074e-08, |
|
"loss": 0.2439, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.42662116040955633, |
|
"eval_loss": 1.1730674505233765, |
|
"eval_runtime": 62.3497, |
|
"eval_samples_per_second": 15.83, |
|
"eval_steps_per_second": 1.989, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.47994880546075086, |
|
"grad_norm": 154.76502990722656, |
|
"learning_rate": 4.2000853242320816e-08, |
|
"loss": 0.3004, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 0.47994880546075086, |
|
"eval_loss": 1.1497682332992554, |
|
"eval_runtime": 63.5491, |
|
"eval_samples_per_second": 15.531, |
|
"eval_steps_per_second": 1.951, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 0.5332764505119454, |
|
"grad_norm": 0.13150489330291748, |
|
"learning_rate": 4.111205915813424e-08, |
|
"loss": 0.3205, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.5332764505119454, |
|
"eval_loss": 1.1258739233016968, |
|
"eval_runtime": 62.1884, |
|
"eval_samples_per_second": 15.871, |
|
"eval_steps_per_second": 1.994, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.58660409556314, |
|
"grad_norm": 0.3719326853752136, |
|
"learning_rate": 4.022326507394767e-08, |
|
"loss": 0.3091, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 0.58660409556314, |
|
"eval_loss": 1.1053005456924438, |
|
"eval_runtime": 63.437, |
|
"eval_samples_per_second": 15.559, |
|
"eval_steps_per_second": 1.955, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 0.6399317406143344, |
|
"grad_norm": 170.89846801757812, |
|
"learning_rate": 3.9334470989761093e-08, |
|
"loss": 0.2657, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.6399317406143344, |
|
"eval_loss": 1.0857468843460083, |
|
"eval_runtime": 62.4055, |
|
"eval_samples_per_second": 15.816, |
|
"eval_steps_per_second": 1.987, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.693259385665529, |
|
"grad_norm": 323.0997619628906, |
|
"learning_rate": 3.844567690557451e-08, |
|
"loss": 0.2251, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 0.693259385665529, |
|
"eval_loss": 1.0695208311080933, |
|
"eval_runtime": 63.1085, |
|
"eval_samples_per_second": 15.64, |
|
"eval_steps_per_second": 1.965, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 0.7465870307167235, |
|
"grad_norm": 0.13254186511039734, |
|
"learning_rate": 3.7556882821387945e-08, |
|
"loss": 0.248, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.7465870307167235, |
|
"eval_loss": 1.0535719394683838, |
|
"eval_runtime": 62.3504, |
|
"eval_samples_per_second": 15.83, |
|
"eval_steps_per_second": 1.989, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.7999146757679181, |
|
"grad_norm": 63.14700698852539, |
|
"learning_rate": 3.6668088737201364e-08, |
|
"loss": 0.2745, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 0.7999146757679181, |
|
"eval_loss": 1.0388950109481812, |
|
"eval_runtime": 62.2311, |
|
"eval_samples_per_second": 15.86, |
|
"eval_steps_per_second": 1.993, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 0.8532423208191127, |
|
"grad_norm": 623.6299438476562, |
|
"learning_rate": 3.577929465301478e-08, |
|
"loss": 0.2857, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.8532423208191127, |
|
"eval_loss": 1.0260424613952637, |
|
"eval_runtime": 62.2792, |
|
"eval_samples_per_second": 15.848, |
|
"eval_steps_per_second": 1.991, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.9065699658703071, |
|
"grad_norm": 155.54579162597656, |
|
"learning_rate": 3.4890500568828216e-08, |
|
"loss": 0.2365, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 0.9065699658703071, |
|
"eval_loss": 1.0136038064956665, |
|
"eval_runtime": 62.583, |
|
"eval_samples_per_second": 15.771, |
|
"eval_steps_per_second": 1.981, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 0.9598976109215017, |
|
"grad_norm": 76.14079284667969, |
|
"learning_rate": 3.4001706484641635e-08, |
|
"loss": 0.2382, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 0.9598976109215017, |
|
"eval_loss": 1.0034172534942627, |
|
"eval_runtime": 63.5592, |
|
"eval_samples_per_second": 15.529, |
|
"eval_steps_per_second": 1.951, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 1.0132252559726962, |
|
"grad_norm": 571.6434936523438, |
|
"learning_rate": 3.311291240045506e-08, |
|
"loss": 0.2419, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 1.0132252559726962, |
|
"eval_loss": 0.994463324546814, |
|
"eval_runtime": 61.8407, |
|
"eval_samples_per_second": 15.96, |
|
"eval_steps_per_second": 2.005, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 1.0665529010238908, |
|
"grad_norm": 540.1460571289062, |
|
"learning_rate": 3.2224118316268486e-08, |
|
"loss": 0.2047, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 1.0665529010238908, |
|
"eval_loss": 0.9851205348968506, |
|
"eval_runtime": 62.1686, |
|
"eval_samples_per_second": 15.876, |
|
"eval_steps_per_second": 1.995, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 1.1198805460750854, |
|
"grad_norm": 6.2389655113220215, |
|
"learning_rate": 3.133532423208191e-08, |
|
"loss": 0.2133, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 1.1198805460750854, |
|
"eval_loss": 0.9759647250175476, |
|
"eval_runtime": 62.8691, |
|
"eval_samples_per_second": 15.699, |
|
"eval_steps_per_second": 1.972, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 1.17320819112628, |
|
"grad_norm": 321.5069885253906, |
|
"learning_rate": 3.044653014789533e-08, |
|
"loss": 0.207, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 1.17320819112628, |
|
"eval_loss": 0.9683472514152527, |
|
"eval_runtime": 61.915, |
|
"eval_samples_per_second": 15.941, |
|
"eval_steps_per_second": 2.003, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 1.2265358361774745, |
|
"grad_norm": 0.0028632767498493195, |
|
"learning_rate": 2.955773606370876e-08, |
|
"loss": 0.2369, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 1.2265358361774745, |
|
"eval_loss": 0.9597958922386169, |
|
"eval_runtime": 62.4216, |
|
"eval_samples_per_second": 15.812, |
|
"eval_steps_per_second": 1.986, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 1.2798634812286689, |
|
"grad_norm": 1.046075701713562, |
|
"learning_rate": 2.8668941979522183e-08, |
|
"loss": 0.1834, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 1.2798634812286689, |
|
"eval_loss": 0.9528058767318726, |
|
"eval_runtime": 62.9687, |
|
"eval_samples_per_second": 15.674, |
|
"eval_steps_per_second": 1.969, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 1.3331911262798635, |
|
"grad_norm": 0.01093329768627882, |
|
"learning_rate": 2.778014789533561e-08, |
|
"loss": 0.2002, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 1.3331911262798635, |
|
"eval_loss": 0.9465218782424927, |
|
"eval_runtime": 62.0222, |
|
"eval_samples_per_second": 15.914, |
|
"eval_steps_per_second": 1.999, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 1.386518771331058, |
|
"grad_norm": 0.13472874462604523, |
|
"learning_rate": 2.689135381114903e-08, |
|
"loss": 0.1918, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 1.386518771331058, |
|
"eval_loss": 0.9417626857757568, |
|
"eval_runtime": 62.4603, |
|
"eval_samples_per_second": 15.802, |
|
"eval_steps_per_second": 1.985, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 1.4398464163822526, |
|
"grad_norm": 19.54829216003418, |
|
"learning_rate": 2.600255972696246e-08, |
|
"loss": 0.2264, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 1.4398464163822526, |
|
"eval_loss": 0.9353039860725403, |
|
"eval_runtime": 63.2324, |
|
"eval_samples_per_second": 15.609, |
|
"eval_steps_per_second": 1.961, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 1.493174061433447, |
|
"grad_norm": 6.569502353668213, |
|
"learning_rate": 2.511376564277588e-08, |
|
"loss": 0.171, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 1.493174061433447, |
|
"eval_loss": 0.930813729763031, |
|
"eval_runtime": 61.9703, |
|
"eval_samples_per_second": 15.927, |
|
"eval_steps_per_second": 2.001, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 1.5465017064846416, |
|
"grad_norm": 153.30908203125, |
|
"learning_rate": 2.4224971558589305e-08, |
|
"loss": 0.2029, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 1.5465017064846416, |
|
"eval_loss": 0.9262459874153137, |
|
"eval_runtime": 62.3851, |
|
"eval_samples_per_second": 15.821, |
|
"eval_steps_per_second": 1.988, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 1.5998293515358362, |
|
"grad_norm": 578.005615234375, |
|
"learning_rate": 2.333617747440273e-08, |
|
"loss": 0.173, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 1.5998293515358362, |
|
"eval_loss": 0.9224158525466919, |
|
"eval_runtime": 63.0306, |
|
"eval_samples_per_second": 15.659, |
|
"eval_steps_per_second": 1.967, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 1.6531569965870307, |
|
"grad_norm": 38.18622970581055, |
|
"learning_rate": 2.2447383390216153e-08, |
|
"loss": 0.2126, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 1.6531569965870307, |
|
"eval_loss": 0.9170305132865906, |
|
"eval_runtime": 61.9661, |
|
"eval_samples_per_second": 15.928, |
|
"eval_steps_per_second": 2.001, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 1.7064846416382253, |
|
"grad_norm": 279.6297302246094, |
|
"learning_rate": 2.155858930602958e-08, |
|
"loss": 0.1933, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 1.7064846416382253, |
|
"eval_loss": 0.9142164587974548, |
|
"eval_runtime": 62.0524, |
|
"eval_samples_per_second": 15.906, |
|
"eval_steps_per_second": 1.998, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 1.75981228668942, |
|
"grad_norm": 32.153900146484375, |
|
"learning_rate": 2.0669795221843004e-08, |
|
"loss": 0.1911, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 1.75981228668942, |
|
"eval_loss": 0.9099463820457458, |
|
"eval_runtime": 63.0816, |
|
"eval_samples_per_second": 15.646, |
|
"eval_steps_per_second": 1.966, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 1.8131399317406145, |
|
"grad_norm": 1.433034062385559, |
|
"learning_rate": 1.9781001137656427e-08, |
|
"loss": 0.1809, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 1.8131399317406145, |
|
"eval_loss": 0.9075033664703369, |
|
"eval_runtime": 62.1223, |
|
"eval_samples_per_second": 15.888, |
|
"eval_steps_per_second": 1.996, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 1.8664675767918089, |
|
"grad_norm": 211.28334045410156, |
|
"learning_rate": 1.8892207053469853e-08, |
|
"loss": 0.2699, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 1.8664675767918089, |
|
"eval_loss": 0.9023045897483826, |
|
"eval_runtime": 62.2896, |
|
"eval_samples_per_second": 15.845, |
|
"eval_steps_per_second": 1.991, |
|
"step": 17500 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 28128, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 6296490663752520.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|