File size: 2,938 Bytes
32da4f3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 |
{
"best_metric": 0.8255746290369508,
"best_model_checkpoint": "/home/tmnam/Desktop/crosslingual-mining-for-domain-nli/output/pretraining/vihealthbert-w_mlm-ViMedNLI/lr3e-5_wr0.1_wd0.0/checkpoint-5000",
"epoch": 52.63157894736842,
"eval_steps": 1000,
"global_step": 5000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.010526315789473684,
"grad_norm": 44.032386779785156,
"learning_rate": 1e-08,
"loss": 11.5293,
"step": 1
},
{
"epoch": 10.526315789473685,
"grad_norm": 5.0217604637146,
"learning_rate": 9.999999999999999e-06,
"loss": 5.5327,
"step": 1000
},
{
"epoch": 10.526315789473685,
"eval_accuracy": 0.588971337116252,
"eval_loss": 2.7528159618377686,
"eval_runtime": 0.9763,
"eval_samples_per_second": 408.668,
"eval_steps_per_second": 13.315,
"step": 1000
},
{
"epoch": 21.05263157894737,
"grad_norm": 3.756152629852295,
"learning_rate": 1.9999999999999998e-05,
"loss": 1.9051,
"step": 2000
},
{
"epoch": 21.05263157894737,
"eval_accuracy": 0.7783207463349623,
"eval_loss": 1.467841625213623,
"eval_runtime": 0.9735,
"eval_samples_per_second": 409.849,
"eval_steps_per_second": 13.353,
"step": 2000
},
{
"epoch": 31.57894736842105,
"grad_norm": 2.861485481262207,
"learning_rate": 3e-05,
"loss": 1.1194,
"step": 3000
},
{
"epoch": 31.57894736842105,
"eval_accuracy": 0.8019903409922435,
"eval_loss": 1.1543285846710205,
"eval_runtime": 0.9729,
"eval_samples_per_second": 410.113,
"eval_steps_per_second": 13.362,
"step": 3000
},
{
"epoch": 42.10526315789474,
"grad_norm": 3.267728805541992,
"learning_rate": 2.8888888888888888e-05,
"loss": 0.831,
"step": 4000
},
{
"epoch": 42.10526315789474,
"eval_accuracy": 0.8146666666666667,
"eval_loss": 1.097205638885498,
"eval_runtime": 0.973,
"eval_samples_per_second": 410.092,
"eval_steps_per_second": 13.361,
"step": 4000
},
{
"epoch": 52.63157894736842,
"grad_norm": 2.2974698543548584,
"learning_rate": 2.777777777777778e-05,
"loss": 0.6805,
"step": 5000
},
{
"epoch": 52.63157894736842,
"eval_accuracy": 0.8255746290369508,
"eval_loss": 0.9968159794807434,
"eval_runtime": 0.9748,
"eval_samples_per_second": 409.295,
"eval_steps_per_second": 13.335,
"step": 5000
}
],
"logging_steps": 1000,
"max_steps": 30000,
"num_input_tokens_seen": 0,
"num_train_epochs": 316,
"save_steps": 1000,
"total_flos": 1.0436462423175168e+16,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}
|