document-spoof-clip / trainer_state.json
habibi26's picture
Training in progress, epoch 0
6a11098 verified
raw
history blame
6.7 kB
{
"best_metric": 0.9857142857142858,
"best_model_checkpoint": "document-spoof-clip/checkpoint-9",
"epoch": 16.842105263157894,
"eval_steps": 500,
"global_step": 80,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.8421052631578947,
"eval_accuracy": 0.9571428571428572,
"eval_loss": 0.2112182229757309,
"eval_runtime": 5.2092,
"eval_samples_per_second": 13.438,
"eval_steps_per_second": 0.96,
"step": 4
},
{
"epoch": 1.8947368421052633,
"eval_accuracy": 0.9857142857142858,
"eval_loss": 0.12266874313354492,
"eval_runtime": 5.2038,
"eval_samples_per_second": 13.452,
"eval_steps_per_second": 0.961,
"step": 9
},
{
"epoch": 2.1052631578947367,
"grad_norm": 4.123354434967041,
"learning_rate": 4.8611111111111115e-05,
"loss": 0.295,
"step": 10
},
{
"epoch": 2.9473684210526314,
"eval_accuracy": 0.9571428571428572,
"eval_loss": 0.12026520818471909,
"eval_runtime": 5.3187,
"eval_samples_per_second": 13.161,
"eval_steps_per_second": 0.94,
"step": 14
},
{
"epoch": 4.0,
"eval_accuracy": 0.9714285714285714,
"eval_loss": 0.06349408626556396,
"eval_runtime": 5.1916,
"eval_samples_per_second": 13.483,
"eval_steps_per_second": 0.963,
"step": 19
},
{
"epoch": 4.2105263157894735,
"grad_norm": 14.247283935546875,
"learning_rate": 4.166666666666667e-05,
"loss": 0.0962,
"step": 20
},
{
"epoch": 4.842105263157895,
"eval_accuracy": 0.9428571428571428,
"eval_loss": 0.2938525080680847,
"eval_runtime": 5.3233,
"eval_samples_per_second": 13.15,
"eval_steps_per_second": 0.939,
"step": 23
},
{
"epoch": 5.894736842105263,
"eval_accuracy": 0.9285714285714286,
"eval_loss": 0.24831673502922058,
"eval_runtime": 5.2672,
"eval_samples_per_second": 13.29,
"eval_steps_per_second": 0.949,
"step": 28
},
{
"epoch": 6.315789473684211,
"grad_norm": 36.67098617553711,
"learning_rate": 3.472222222222222e-05,
"loss": 0.163,
"step": 30
},
{
"epoch": 6.947368421052632,
"eval_accuracy": 0.9857142857142858,
"eval_loss": 0.07119516283273697,
"eval_runtime": 5.2492,
"eval_samples_per_second": 13.335,
"eval_steps_per_second": 0.953,
"step": 33
},
{
"epoch": 8.0,
"eval_accuracy": 0.9714285714285714,
"eval_loss": 0.04743731766939163,
"eval_runtime": 5.2254,
"eval_samples_per_second": 13.396,
"eval_steps_per_second": 0.957,
"step": 38
},
{
"epoch": 8.421052631578947,
"grad_norm": 14.154749870300293,
"learning_rate": 2.777777777777778e-05,
"loss": 0.0646,
"step": 40
},
{
"epoch": 8.842105263157894,
"eval_accuracy": 0.9428571428571428,
"eval_loss": 0.20123328268527985,
"eval_runtime": 5.2671,
"eval_samples_per_second": 13.29,
"eval_steps_per_second": 0.949,
"step": 42
},
{
"epoch": 9.894736842105264,
"eval_accuracy": 0.9,
"eval_loss": 0.3587024211883545,
"eval_runtime": 5.2483,
"eval_samples_per_second": 13.338,
"eval_steps_per_second": 0.953,
"step": 47
},
{
"epoch": 10.526315789473685,
"grad_norm": 3.9370455741882324,
"learning_rate": 2.0833333333333336e-05,
"loss": 0.1048,
"step": 50
},
{
"epoch": 10.947368421052632,
"eval_accuracy": 0.9857142857142858,
"eval_loss": 0.04267547279596329,
"eval_runtime": 5.2718,
"eval_samples_per_second": 13.278,
"eval_steps_per_second": 0.948,
"step": 52
},
{
"epoch": 12.0,
"eval_accuracy": 0.9857142857142858,
"eval_loss": 0.01490915659815073,
"eval_runtime": 5.2034,
"eval_samples_per_second": 13.453,
"eval_steps_per_second": 0.961,
"step": 57
},
{
"epoch": 12.631578947368421,
"grad_norm": 5.009355545043945,
"learning_rate": 1.388888888888889e-05,
"loss": 0.0519,
"step": 60
},
{
"epoch": 12.842105263157894,
"eval_accuracy": 0.9571428571428572,
"eval_loss": 0.16158795356750488,
"eval_runtime": 5.284,
"eval_samples_per_second": 13.248,
"eval_steps_per_second": 0.946,
"step": 61
},
{
"epoch": 13.894736842105264,
"eval_accuracy": 0.9571428571428572,
"eval_loss": 0.2285740226507187,
"eval_runtime": 5.3185,
"eval_samples_per_second": 13.161,
"eval_steps_per_second": 0.94,
"step": 66
},
{
"epoch": 14.736842105263158,
"grad_norm": 1.6222240924835205,
"learning_rate": 6.944444444444445e-06,
"loss": 0.0151,
"step": 70
},
{
"epoch": 14.947368421052632,
"eval_accuracy": 0.9571428571428572,
"eval_loss": 0.13689564168453217,
"eval_runtime": 5.3199,
"eval_samples_per_second": 13.158,
"eval_steps_per_second": 0.94,
"step": 71
},
{
"epoch": 16.0,
"eval_accuracy": 0.9571428571428572,
"eval_loss": 0.21541821956634521,
"eval_runtime": 5.3461,
"eval_samples_per_second": 13.094,
"eval_steps_per_second": 0.935,
"step": 76
},
{
"epoch": 16.842105263157894,
"grad_norm": 17.900920867919922,
"learning_rate": 0.0,
"loss": 0.0455,
"step": 80
},
{
"epoch": 16.842105263157894,
"eval_accuracy": 0.9428571428571428,
"eval_loss": 0.2586957514286041,
"eval_runtime": 5.2529,
"eval_samples_per_second": 13.326,
"eval_steps_per_second": 0.952,
"step": 80
},
{
"epoch": 16.842105263157894,
"step": 80,
"total_flos": 3.991922735555543e+17,
"train_loss": 0.10449823420494794,
"train_runtime": 538.8903,
"train_samples_per_second": 11.134,
"train_steps_per_second": 0.148
}
],
"logging_steps": 10,
"max_steps": 80,
"num_input_tokens_seen": 0,
"num_train_epochs": 20,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 3.991922735555543e+17,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}