File size: 2,907 Bytes
5d5a48b |
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 |
{
"best_metric": 0.7463386057410663,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-36/checkpoint-856",
"epoch": 4.0,
"eval_steps": 500,
"global_step": 856,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 9.520071029663086,
"learning_rate": 0.00017796815168800775,
"loss": 0.6005,
"step": 214
},
{
"epoch": 1.0,
"eval_accuracy": 0.7070884592852958,
"eval_f1": 0.4369369369369369,
"eval_loss": 0.5579986572265625,
"eval_mcc": 0.2794799623456291,
"eval_precision": 0.6081504702194357,
"eval_recall": 0.3409490333919156,
"eval_runtime": 3.1263,
"eval_samples_per_second": 546.008,
"eval_steps_per_second": 17.273,
"step": 214
},
{
"epoch": 2.0,
"grad_norm": 2.303219795227051,
"learning_rate": 0.00015819391261156243,
"loss": 0.5376,
"step": 428
},
{
"epoch": 2.0,
"eval_accuracy": 0.7287639132981839,
"eval_f1": 0.5141657922350472,
"eval_loss": 0.5312134027481079,
"eval_mcc": 0.3482142857142857,
"eval_precision": 0.6380208333333334,
"eval_recall": 0.4305799648506151,
"eval_runtime": 3.7151,
"eval_samples_per_second": 459.482,
"eval_steps_per_second": 14.535,
"step": 428
},
{
"epoch": 3.0,
"grad_norm": 2.198146343231201,
"learning_rate": 0.00013841967353511711,
"loss": 0.5111,
"step": 642
},
{
"epoch": 3.0,
"eval_accuracy": 0.7305213825424721,
"eval_f1": 0.42643391521197005,
"eval_loss": 0.5205321311950684,
"eval_mcc": 0.33784409399973486,
"eval_precision": 0.7339055793991416,
"eval_recall": 0.30052724077328646,
"eval_runtime": 3.1478,
"eval_samples_per_second": 542.282,
"eval_steps_per_second": 17.155,
"step": 642
},
{
"epoch": 4.0,
"grad_norm": 6.034207820892334,
"learning_rate": 0.00011864543445867182,
"loss": 0.5001,
"step": 856
},
{
"epoch": 4.0,
"eval_accuracy": 0.7463386057410663,
"eval_f1": 0.5062713797035348,
"eval_loss": 0.49967363476753235,
"eval_mcc": 0.3856415442935193,
"eval_precision": 0.7207792207792207,
"eval_recall": 0.39015817223198596,
"eval_runtime": 3.6665,
"eval_samples_per_second": 465.568,
"eval_steps_per_second": 14.728,
"step": 856
}
],
"logging_steps": 500,
"max_steps": 2140,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"total_flos": 2099102657760.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.9927925943509046,
"learning_rate": 0.00019774239076445304,
"num_train_epochs": 10,
"temperature": 21
}
}
|