sentiment-lora-r2a0d0.1-0 / trainer_state.json
apwic's picture
End of training
ec855a0 verified
raw
history blame contribute delete
No virus
10.9 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 20.0,
"eval_steps": 500,
"global_step": 2440,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 5.088006496429443,
"learning_rate": 4.75e-05,
"loss": 0.5634,
"step": 122
},
{
"epoch": 1.0,
"eval_accuracy": 0.7192982456140351,
"eval_f1": 0.6524390243902439,
"eval_loss": 0.5107927322387695,
"eval_precision": 0.6572301881961337,
"eval_recall": 0.6488907074013457,
"eval_runtime": 5.0968,
"eval_samples_per_second": 78.284,
"eval_steps_per_second": 9.81,
"step": 122
},
{
"epoch": 2.0,
"grad_norm": 3.8167991638183594,
"learning_rate": 4.5e-05,
"loss": 0.5081,
"step": 244
},
{
"epoch": 2.0,
"eval_accuracy": 0.7218045112781954,
"eval_f1": 0.6887653635603403,
"eval_loss": 0.5049471855163574,
"eval_precision": 0.6829453441295547,
"eval_recall": 0.7081742134933624,
"eval_runtime": 5.0562,
"eval_samples_per_second": 78.913,
"eval_steps_per_second": 9.889,
"step": 244
},
{
"epoch": 3.0,
"grad_norm": 4.013192176818848,
"learning_rate": 4.25e-05,
"loss": 0.4924,
"step": 366
},
{
"epoch": 3.0,
"eval_accuracy": 0.7493734335839599,
"eval_f1": 0.6976723040552828,
"eval_loss": 0.46672317385673523,
"eval_precision": 0.6976723040552828,
"eval_recall": 0.6976723040552828,
"eval_runtime": 5.0806,
"eval_samples_per_second": 78.535,
"eval_steps_per_second": 9.841,
"step": 366
},
{
"epoch": 4.0,
"grad_norm": 2.717806100845337,
"learning_rate": 4e-05,
"loss": 0.4698,
"step": 488
},
{
"epoch": 4.0,
"eval_accuracy": 0.7794486215538847,
"eval_f1": 0.7206949217258496,
"eval_loss": 0.43917685747146606,
"eval_precision": 0.7348989898989899,
"eval_recall": 0.711447535915621,
"eval_runtime": 5.1289,
"eval_samples_per_second": 77.794,
"eval_steps_per_second": 9.749,
"step": 488
},
{
"epoch": 5.0,
"grad_norm": 2.4102962017059326,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.4519,
"step": 610
},
{
"epoch": 5.0,
"eval_accuracy": 0.7468671679197995,
"eval_f1": 0.7226057806810438,
"eval_loss": 0.4547964334487915,
"eval_precision": 0.7169434353918007,
"eval_recall": 0.7534097108565194,
"eval_runtime": 5.1149,
"eval_samples_per_second": 78.007,
"eval_steps_per_second": 9.775,
"step": 610
},
{
"epoch": 6.0,
"grad_norm": 1.93445885181427,
"learning_rate": 3.5e-05,
"loss": 0.4356,
"step": 732
},
{
"epoch": 6.0,
"eval_accuracy": 0.8145363408521303,
"eval_f1": 0.7739895897121861,
"eval_loss": 0.41105952858924866,
"eval_precision": 0.7769509251810136,
"eval_recall": 0.7712765957446808,
"eval_runtime": 5.085,
"eval_samples_per_second": 78.466,
"eval_steps_per_second": 9.833,
"step": 732
},
{
"epoch": 7.0,
"grad_norm": 1.6042848825454712,
"learning_rate": 3.2500000000000004e-05,
"loss": 0.421,
"step": 854
},
{
"epoch": 7.0,
"eval_accuracy": 0.7944862155388471,
"eval_f1": 0.7611824817518249,
"eval_loss": 0.41012144088745117,
"eval_precision": 0.7537593984962405,
"eval_recall": 0.7720949263502455,
"eval_runtime": 5.0805,
"eval_samples_per_second": 78.536,
"eval_steps_per_second": 9.842,
"step": 854
},
{
"epoch": 8.0,
"grad_norm": 18.006345748901367,
"learning_rate": 3e-05,
"loss": 0.4039,
"step": 976
},
{
"epoch": 8.0,
"eval_accuracy": 0.8295739348370927,
"eval_f1": 0.7933776044839771,
"eval_loss": 0.38294023275375366,
"eval_precision": 0.7949020208205757,
"eval_recall": 0.7919167121294781,
"eval_runtime": 5.064,
"eval_samples_per_second": 78.791,
"eval_steps_per_second": 9.874,
"step": 976
},
{
"epoch": 9.0,
"grad_norm": 4.092437744140625,
"learning_rate": 2.7500000000000004e-05,
"loss": 0.3887,
"step": 1098
},
{
"epoch": 9.0,
"eval_accuracy": 0.8320802005012531,
"eval_f1": 0.7979441442122369,
"eval_loss": 0.3800281286239624,
"eval_precision": 0.7972133421798662,
"eval_recall": 0.7986906710310966,
"eval_runtime": 5.0646,
"eval_samples_per_second": 78.782,
"eval_steps_per_second": 9.872,
"step": 1098
},
{
"epoch": 10.0,
"grad_norm": 4.934494972229004,
"learning_rate": 2.5e-05,
"loss": 0.3797,
"step": 1220
},
{
"epoch": 10.0,
"eval_accuracy": 0.8370927318295739,
"eval_f1": 0.8019881353214686,
"eval_loss": 0.37680280208587646,
"eval_precision": 0.8043859649122806,
"eval_recall": 0.7997363156937625,
"eval_runtime": 5.0723,
"eval_samples_per_second": 78.663,
"eval_steps_per_second": 9.857,
"step": 1220
},
{
"epoch": 11.0,
"grad_norm": 3.9598286151885986,
"learning_rate": 2.25e-05,
"loss": 0.368,
"step": 1342
},
{
"epoch": 11.0,
"eval_accuracy": 0.8220551378446115,
"eval_f1": 0.791846991484015,
"eval_loss": 0.38417863845825195,
"eval_precision": 0.7845581927366314,
"eval_recall": 0.801600290961993,
"eval_runtime": 5.0582,
"eval_samples_per_second": 78.882,
"eval_steps_per_second": 9.885,
"step": 1342
},
{
"epoch": 12.0,
"grad_norm": 11.679308891296387,
"learning_rate": 2e-05,
"loss": 0.3598,
"step": 1464
},
{
"epoch": 12.0,
"eval_accuracy": 0.8270676691729323,
"eval_f1": 0.7967966933608887,
"eval_loss": 0.37781035900115967,
"eval_precision": 0.7902444649446494,
"eval_recall": 0.8051463902527732,
"eval_runtime": 5.1525,
"eval_samples_per_second": 77.438,
"eval_steps_per_second": 9.704,
"step": 1464
},
{
"epoch": 13.0,
"grad_norm": 1.9093892574310303,
"learning_rate": 1.75e-05,
"loss": 0.3548,
"step": 1586
},
{
"epoch": 13.0,
"eval_accuracy": 0.8471177944862155,
"eval_f1": 0.8141734808401475,
"eval_loss": 0.3623768091201782,
"eval_precision": 0.8166666666666667,
"eval_recall": 0.8118294235315512,
"eval_runtime": 5.0613,
"eval_samples_per_second": 78.833,
"eval_steps_per_second": 9.879,
"step": 1586
},
{
"epoch": 14.0,
"grad_norm": 8.159423828125,
"learning_rate": 1.5e-05,
"loss": 0.3469,
"step": 1708
},
{
"epoch": 14.0,
"eval_accuracy": 0.8446115288220551,
"eval_f1": 0.8134839254478557,
"eval_loss": 0.36370429396629333,
"eval_precision": 0.8119747899159664,
"eval_recall": 0.8150572831423895,
"eval_runtime": 5.06,
"eval_samples_per_second": 78.854,
"eval_steps_per_second": 9.881,
"step": 1708
},
{
"epoch": 15.0,
"grad_norm": 1.1732066869735718,
"learning_rate": 1.25e-05,
"loss": 0.3431,
"step": 1830
},
{
"epoch": 15.0,
"eval_accuracy": 0.8395989974937343,
"eval_f1": 0.81021463820679,
"eval_loss": 0.3684653341770172,
"eval_precision": 0.8049051094890511,
"eval_recall": 0.8165120931078378,
"eval_runtime": 5.0473,
"eval_samples_per_second": 79.053,
"eval_steps_per_second": 9.906,
"step": 1830
},
{
"epoch": 16.0,
"grad_norm": 6.608555316925049,
"learning_rate": 1e-05,
"loss": 0.3275,
"step": 1952
},
{
"epoch": 16.0,
"eval_accuracy": 0.8370927318295739,
"eval_f1": 0.8085765951950401,
"eval_loss": 0.3663918673992157,
"eval_precision": 0.8017470018450185,
"eval_recall": 0.817239498090562,
"eval_runtime": 5.098,
"eval_samples_per_second": 78.267,
"eval_steps_per_second": 9.808,
"step": 1952
},
{
"epoch": 17.0,
"grad_norm": 3.14452862739563,
"learning_rate": 7.5e-06,
"loss": 0.3288,
"step": 2074
},
{
"epoch": 17.0,
"eval_accuracy": 0.8395989974937343,
"eval_f1": 0.8084033613445378,
"eval_loss": 0.359037846326828,
"eval_precision": 0.8055472976990309,
"eval_recall": 0.8115111838516094,
"eval_runtime": 5.0473,
"eval_samples_per_second": 79.052,
"eval_steps_per_second": 9.906,
"step": 2074
},
{
"epoch": 18.0,
"grad_norm": 2.8248753547668457,
"learning_rate": 5e-06,
"loss": 0.3335,
"step": 2196
},
{
"epoch": 18.0,
"eval_accuracy": 0.8471177944862155,
"eval_f1": 0.8186863532409097,
"eval_loss": 0.36074599623680115,
"eval_precision": 0.8138123167155425,
"eval_recall": 0.8243316966721222,
"eval_runtime": 5.0588,
"eval_samples_per_second": 78.872,
"eval_steps_per_second": 9.884,
"step": 2196
},
{
"epoch": 19.0,
"grad_norm": 4.17168664932251,
"learning_rate": 2.5e-06,
"loss": 0.3239,
"step": 2318
},
{
"epoch": 19.0,
"eval_accuracy": 0.8446115288220551,
"eval_f1": 0.8161454307628278,
"eval_loss": 0.36129772663116455,
"eval_precision": 0.8107299270072992,
"eval_recall": 0.8225586470267321,
"eval_runtime": 5.0523,
"eval_samples_per_second": 78.975,
"eval_steps_per_second": 9.897,
"step": 2318
},
{
"epoch": 20.0,
"grad_norm": 6.108452796936035,
"learning_rate": 0.0,
"loss": 0.327,
"step": 2440
},
{
"epoch": 20.0,
"eval_accuracy": 0.8471177944862155,
"eval_f1": 0.8186863532409097,
"eval_loss": 0.3607771396636963,
"eval_precision": 0.8138123167155425,
"eval_recall": 0.8243316966721222,
"eval_runtime": 5.1353,
"eval_samples_per_second": 77.698,
"eval_steps_per_second": 9.737,
"step": 2440
},
{
"epoch": 20.0,
"step": 2440,
"total_flos": 7590599775312000.0,
"train_loss": 0.39638843536376955,
"train_runtime": 1955.7644,
"train_samples_per_second": 37.203,
"train_steps_per_second": 1.248
}
],
"logging_steps": 500,
"max_steps": 2440,
"num_input_tokens_seen": 0,
"num_train_epochs": 20,
"save_steps": 500,
"total_flos": 7590599775312000.0,
"train_batch_size": 30,
"trial_name": null,
"trial_params": null
}