adapters-opt-gptq-QLORA-super_glue-cb / trainer_state-opt-gptq-QLORA-super_glue-cb-sequence_classification.json
RMHalak's picture
Task: SequenceClassification
985433e verified
raw
history blame contribute delete
No virus
18.1 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 10.0,
"eval_steps": 1,
"global_step": 40,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.25,
"grad_norm": 32.508975982666016,
"learning_rate": 2.5e-05,
"loss": 1.9242,
"step": 1
},
{
"epoch": 0.25,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.845262050628662,
"eval_runtime": 1.664,
"eval_samples_per_second": 37.261,
"eval_steps_per_second": 1.202,
"step": 1
},
{
"epoch": 0.5,
"grad_norm": 31.633163452148438,
"learning_rate": 5e-05,
"loss": 1.8427,
"step": 2
},
{
"epoch": 0.5,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.8311964273452759,
"eval_runtime": 1.6638,
"eval_samples_per_second": 37.264,
"eval_steps_per_second": 1.202,
"step": 2
},
{
"epoch": 0.75,
"grad_norm": 32.75844192504883,
"learning_rate": 4.868421052631579e-05,
"loss": 1.811,
"step": 3
},
{
"epoch": 0.75,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.7797694206237793,
"eval_runtime": 1.6596,
"eval_samples_per_second": 37.359,
"eval_steps_per_second": 1.205,
"step": 3
},
{
"epoch": 1.0,
"grad_norm": 33.511817932128906,
"learning_rate": 4.736842105263158e-05,
"loss": 1.9235,
"step": 4
},
{
"epoch": 1.0,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.7310200929641724,
"eval_runtime": 1.6611,
"eval_samples_per_second": 37.325,
"eval_steps_per_second": 1.204,
"step": 4
},
{
"epoch": 1.25,
"grad_norm": 30.517168045043945,
"learning_rate": 4.605263157894737e-05,
"loss": 1.6903,
"step": 5
},
{
"epoch": 1.25,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.6759703159332275,
"eval_runtime": 1.6597,
"eval_samples_per_second": 37.357,
"eval_steps_per_second": 1.205,
"step": 5
},
{
"epoch": 1.5,
"grad_norm": 29.271242141723633,
"learning_rate": 4.473684210526316e-05,
"loss": 1.6032,
"step": 6
},
{
"epoch": 1.5,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.620038390159607,
"eval_runtime": 1.6099,
"eval_samples_per_second": 38.511,
"eval_steps_per_second": 1.242,
"step": 6
},
{
"epoch": 1.75,
"grad_norm": 31.15843963623047,
"learning_rate": 4.342105263157895e-05,
"loss": 1.7522,
"step": 7
},
{
"epoch": 1.75,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.5599325895309448,
"eval_runtime": 1.6096,
"eval_samples_per_second": 38.518,
"eval_steps_per_second": 1.243,
"step": 7
},
{
"epoch": 2.0,
"grad_norm": 32.795101165771484,
"learning_rate": 4.210526315789474e-05,
"loss": 1.665,
"step": 8
},
{
"epoch": 2.0,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.5007245540618896,
"eval_runtime": 1.6593,
"eval_samples_per_second": 37.365,
"eval_steps_per_second": 1.205,
"step": 8
},
{
"epoch": 2.25,
"grad_norm": 24.919414520263672,
"learning_rate": 4.078947368421053e-05,
"loss": 1.4334,
"step": 9
},
{
"epoch": 2.25,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.4376260042190552,
"eval_runtime": 1.6592,
"eval_samples_per_second": 37.367,
"eval_steps_per_second": 1.205,
"step": 9
},
{
"epoch": 2.5,
"grad_norm": 26.314369201660156,
"learning_rate": 3.9473684210526316e-05,
"loss": 1.4499,
"step": 10
},
{
"epoch": 2.5,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.3746062517166138,
"eval_runtime": 1.659,
"eval_samples_per_second": 37.372,
"eval_steps_per_second": 1.206,
"step": 10
},
{
"epoch": 2.75,
"grad_norm": 29.581968307495117,
"learning_rate": 3.815789473684211e-05,
"loss": 1.4751,
"step": 11
},
{
"epoch": 2.75,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.3099955320358276,
"eval_runtime": 1.6591,
"eval_samples_per_second": 37.37,
"eval_steps_per_second": 1.205,
"step": 11
},
{
"epoch": 3.0,
"grad_norm": 23.594392776489258,
"learning_rate": 3.6842105263157895e-05,
"loss": 1.2184,
"step": 12
},
{
"epoch": 3.0,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.2490864992141724,
"eval_runtime": 1.6592,
"eval_samples_per_second": 37.368,
"eval_steps_per_second": 1.205,
"step": 12
},
{
"epoch": 3.25,
"grad_norm": 21.464380264282227,
"learning_rate": 3.5526315789473684e-05,
"loss": 1.1918,
"step": 13
},
{
"epoch": 3.25,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.1868385076522827,
"eval_runtime": 1.6597,
"eval_samples_per_second": 37.355,
"eval_steps_per_second": 1.205,
"step": 13
},
{
"epoch": 3.5,
"grad_norm": 23.22657585144043,
"learning_rate": 3.421052631578947e-05,
"loss": 1.2961,
"step": 14
},
{
"epoch": 3.5,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.1285125017166138,
"eval_runtime": 1.6596,
"eval_samples_per_second": 37.359,
"eval_steps_per_second": 1.205,
"step": 14
},
{
"epoch": 3.75,
"grad_norm": 20.130626678466797,
"learning_rate": 3.289473684210527e-05,
"loss": 1.058,
"step": 15
},
{
"epoch": 3.75,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.0760616064071655,
"eval_runtime": 1.6629,
"eval_samples_per_second": 37.284,
"eval_steps_per_second": 1.203,
"step": 15
},
{
"epoch": 4.0,
"grad_norm": 19.751522064208984,
"learning_rate": 3.157894736842105e-05,
"loss": 1.0431,
"step": 16
},
{
"epoch": 4.0,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 1.027753233909607,
"eval_runtime": 1.6593,
"eval_samples_per_second": 37.365,
"eval_steps_per_second": 1.205,
"step": 16
},
{
"epoch": 4.25,
"grad_norm": 21.63219451904297,
"learning_rate": 3.0263157894736844e-05,
"loss": 1.1025,
"step": 17
},
{
"epoch": 4.25,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 0.9908801913261414,
"eval_runtime": 1.6593,
"eval_samples_per_second": 37.364,
"eval_steps_per_second": 1.205,
"step": 17
},
{
"epoch": 4.5,
"grad_norm": 10.896172523498535,
"learning_rate": 2.8947368421052634e-05,
"loss": 1.027,
"step": 18
},
{
"epoch": 4.5,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.25513196480938416,
"eval_loss": 0.9616305232048035,
"eval_runtime": 1.6609,
"eval_samples_per_second": 37.328,
"eval_steps_per_second": 1.204,
"step": 18
},
{
"epoch": 4.75,
"grad_norm": 10.560508728027344,
"learning_rate": 2.7631578947368426e-05,
"loss": 0.9494,
"step": 19
},
{
"epoch": 4.75,
"eval_accuracy": 0.4838709677419355,
"eval_f1": 0.26990838618745594,
"eval_loss": 0.9417527914047241,
"eval_runtime": 1.6591,
"eval_samples_per_second": 37.369,
"eval_steps_per_second": 1.205,
"step": 19
},
{
"epoch": 5.0,
"grad_norm": 7.201696395874023,
"learning_rate": 2.6315789473684212e-05,
"loss": 0.8845,
"step": 20
},
{
"epoch": 5.0,
"eval_accuracy": 0.532258064516129,
"eval_f1": 0.32762030323005936,
"eval_loss": 0.9292937517166138,
"eval_runtime": 1.6591,
"eval_samples_per_second": 37.371,
"eval_steps_per_second": 1.206,
"step": 20
},
{
"epoch": 5.25,
"grad_norm": 3.4469192028045654,
"learning_rate": 2.5e-05,
"loss": 1.0096,
"step": 21
},
{
"epoch": 5.25,
"eval_accuracy": 0.5967741935483871,
"eval_f1": 0.4066193853427896,
"eval_loss": 0.9209141731262207,
"eval_runtime": 1.6594,
"eval_samples_per_second": 37.363,
"eval_steps_per_second": 1.205,
"step": 21
},
{
"epoch": 5.5,
"grad_norm": 5.117708683013916,
"learning_rate": 2.368421052631579e-05,
"loss": 0.8488,
"step": 22
},
{
"epoch": 5.5,
"eval_accuracy": 0.6290322580645161,
"eval_f1": 0.434640522875817,
"eval_loss": 0.9170079231262207,
"eval_runtime": 1.6597,
"eval_samples_per_second": 37.356,
"eval_steps_per_second": 1.205,
"step": 22
},
{
"epoch": 5.75,
"grad_norm": 4.267374515533447,
"learning_rate": 2.236842105263158e-05,
"loss": 0.847,
"step": 23
},
{
"epoch": 5.75,
"eval_accuracy": 0.6129032258064516,
"eval_f1": 0.41979655712050085,
"eval_loss": 0.9126449227333069,
"eval_runtime": 1.6593,
"eval_samples_per_second": 37.364,
"eval_steps_per_second": 1.205,
"step": 23
},
{
"epoch": 6.0,
"grad_norm": 4.23488712310791,
"learning_rate": 2.105263157894737e-05,
"loss": 0.8127,
"step": 24
},
{
"epoch": 6.0,
"eval_accuracy": 0.5483870967741935,
"eval_f1": 0.3648484848484848,
"eval_loss": 0.9107705354690552,
"eval_runtime": 1.6606,
"eval_samples_per_second": 37.337,
"eval_steps_per_second": 1.204,
"step": 24
},
{
"epoch": 6.25,
"grad_norm": 6.90617561340332,
"learning_rate": 1.9736842105263158e-05,
"loss": 0.8793,
"step": 25
},
{
"epoch": 6.25,
"eval_accuracy": 0.5161290322580645,
"eval_f1": 0.34080808080808084,
"eval_loss": 0.9092269539833069,
"eval_runtime": 1.6621,
"eval_samples_per_second": 37.302,
"eval_steps_per_second": 1.203,
"step": 25
},
{
"epoch": 6.5,
"grad_norm": 3.975435733795166,
"learning_rate": 1.8421052631578947e-05,
"loss": 0.8219,
"step": 26
},
{
"epoch": 6.5,
"eval_accuracy": 0.532258064516129,
"eval_f1": 0.35006119951040393,
"eval_loss": 0.9109280705451965,
"eval_runtime": 1.6614,
"eval_samples_per_second": 37.318,
"eval_steps_per_second": 1.204,
"step": 26
},
{
"epoch": 6.75,
"grad_norm": 4.9610748291015625,
"learning_rate": 1.7105263157894737e-05,
"loss": 0.8406,
"step": 27
},
{
"epoch": 6.75,
"eval_accuracy": 0.5161290322580645,
"eval_f1": 0.34080808080808084,
"eval_loss": 0.9092269539833069,
"eval_runtime": 1.6609,
"eval_samples_per_second": 37.33,
"eval_steps_per_second": 1.204,
"step": 27
},
{
"epoch": 7.0,
"grad_norm": 2.729252815246582,
"learning_rate": 1.5789473684210526e-05,
"loss": 0.9318,
"step": 28
},
{
"epoch": 7.0,
"eval_accuracy": 0.532258064516129,
"eval_f1": 0.3553553553553554,
"eval_loss": 0.9079668521881104,
"eval_runtime": 1.6613,
"eval_samples_per_second": 37.321,
"eval_steps_per_second": 1.204,
"step": 28
},
{
"epoch": 7.25,
"grad_norm": 5.042109489440918,
"learning_rate": 1.4473684210526317e-05,
"loss": 0.9478,
"step": 29
},
{
"epoch": 7.25,
"eval_accuracy": 0.532258064516129,
"eval_f1": 0.3553553553553554,
"eval_loss": 0.9087701439857483,
"eval_runtime": 1.661,
"eval_samples_per_second": 37.327,
"eval_steps_per_second": 1.204,
"step": 29
},
{
"epoch": 7.5,
"grad_norm": 4.453703880310059,
"learning_rate": 1.3157894736842106e-05,
"loss": 0.8433,
"step": 30
},
{
"epoch": 7.5,
"eval_accuracy": 0.5483870967741935,
"eval_f1": 0.36946595195552906,
"eval_loss": 0.9084787964820862,
"eval_runtime": 1.6611,
"eval_samples_per_second": 37.325,
"eval_steps_per_second": 1.204,
"step": 30
},
{
"epoch": 7.75,
"grad_norm": 3.1456220149993896,
"learning_rate": 1.1842105263157895e-05,
"loss": 0.794,
"step": 31
},
{
"epoch": 7.75,
"eval_accuracy": 0.5483870967741935,
"eval_f1": 0.36946595195552906,
"eval_loss": 0.9089512825012207,
"eval_runtime": 1.6607,
"eval_samples_per_second": 37.334,
"eval_steps_per_second": 1.204,
"step": 31
},
{
"epoch": 8.0,
"grad_norm": 12.549348831176758,
"learning_rate": 1.0526315789473684e-05,
"loss": 0.9746,
"step": 32
},
{
"epoch": 8.0,
"eval_accuracy": 0.5483870967741935,
"eval_f1": 0.36946595195552906,
"eval_loss": 0.9065335392951965,
"eval_runtime": 1.6609,
"eval_samples_per_second": 37.329,
"eval_steps_per_second": 1.204,
"step": 32
},
{
"epoch": 8.25,
"grad_norm": 4.388298511505127,
"learning_rate": 9.210526315789474e-06,
"loss": 0.9246,
"step": 33
},
{
"epoch": 8.25,
"eval_accuracy": 0.5483870967741935,
"eval_f1": 0.36946595195552906,
"eval_loss": 0.9052813053131104,
"eval_runtime": 1.661,
"eval_samples_per_second": 37.326,
"eval_steps_per_second": 1.204,
"step": 33
},
{
"epoch": 8.5,
"grad_norm": 2.7072877883911133,
"learning_rate": 7.894736842105263e-06,
"loss": 0.7426,
"step": 34
},
{
"epoch": 8.5,
"eval_accuracy": 0.5645161290322581,
"eval_f1": 0.3831757289204098,
"eval_loss": 0.9058404564857483,
"eval_runtime": 1.661,
"eval_samples_per_second": 37.328,
"eval_steps_per_second": 1.204,
"step": 34
},
{
"epoch": 8.75,
"grad_norm": 12.431721687316895,
"learning_rate": 6.578947368421053e-06,
"loss": 0.8438,
"step": 35
},
{
"epoch": 8.75,
"eval_accuracy": 0.5483870967741935,
"eval_f1": 0.3732394366197183,
"eval_loss": 0.9043520092964172,
"eval_runtime": 1.6608,
"eval_samples_per_second": 37.332,
"eval_steps_per_second": 1.204,
"step": 35
},
{
"epoch": 9.0,
"grad_norm": 4.142194747924805,
"learning_rate": 5.263157894736842e-06,
"loss": 0.8591,
"step": 36
},
{
"epoch": 9.0,
"eval_accuracy": 0.5483870967741935,
"eval_f1": 0.3732394366197183,
"eval_loss": 0.9042260050773621,
"eval_runtime": 1.6606,
"eval_samples_per_second": 37.336,
"eval_steps_per_second": 1.204,
"step": 36
},
{
"epoch": 9.25,
"grad_norm": 2.2469961643218994,
"learning_rate": 3.9473684210526315e-06,
"loss": 0.8005,
"step": 37
},
{
"epoch": 9.25,
"eval_accuracy": 0.5483870967741935,
"eval_f1": 0.3732394366197183,
"eval_loss": 0.9043677449226379,
"eval_runtime": 1.6601,
"eval_samples_per_second": 37.347,
"eval_steps_per_second": 1.205,
"step": 37
},
{
"epoch": 9.5,
"grad_norm": 2.831308126449585,
"learning_rate": 2.631578947368421e-06,
"loss": 0.8354,
"step": 38
},
{
"epoch": 9.5,
"eval_accuracy": 0.5483870967741935,
"eval_f1": 0.3732394366197183,
"eval_loss": 0.9049898982048035,
"eval_runtime": 1.6604,
"eval_samples_per_second": 37.341,
"eval_steps_per_second": 1.205,
"step": 38
},
{
"epoch": 9.75,
"grad_norm": 4.90074348449707,
"learning_rate": 1.3157894736842106e-06,
"loss": 0.8728,
"step": 39
},
{
"epoch": 9.75,
"eval_accuracy": 0.5483870967741935,
"eval_f1": 0.3732394366197183,
"eval_loss": 0.9037298560142517,
"eval_runtime": 1.6599,
"eval_samples_per_second": 37.352,
"eval_steps_per_second": 1.205,
"step": 39
},
{
"epoch": 10.0,
"grad_norm": 2.8960094451904297,
"learning_rate": 0.0,
"loss": 0.8464,
"step": 40
},
{
"epoch": 10.0,
"eval_accuracy": 0.5483870967741935,
"eval_f1": 0.3732394366197183,
"eval_loss": 0.9036431908607483,
"eval_runtime": 1.6603,
"eval_samples_per_second": 37.343,
"eval_steps_per_second": 1.205,
"step": 40
},
{
"epoch": 10.0,
"step": 40,
"total_flos": 50446463926272.0,
"train_loss": 1.1404520988464355,
"train_runtime": 238.9505,
"train_samples_per_second": 10.211,
"train_steps_per_second": 0.167
}
],
"logging_steps": 1,
"max_steps": 40,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 50446463926272.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}