File size: 1,840 Bytes
d435972 |
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 |
{
"best_metric": 0.00019271760538686067,
"best_model_checkpoint": "data/further_pretraining/xlnet-large-cased/checkpoint-4706",
"epoch": 1.0,
"eval_steps": 500,
"global_step": 4706,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.11,
"learning_rate": 2.6812579685507864e-05,
"loss": 0.0002,
"step": 500
},
{
"epoch": 0.21,
"learning_rate": 2.3625159371015725e-05,
"loss": 0.0001,
"step": 1000
},
{
"epoch": 0.32,
"learning_rate": 2.043773905652359e-05,
"loss": 0.0001,
"step": 1500
},
{
"epoch": 0.42,
"learning_rate": 1.7250318742031452e-05,
"loss": 0.0077,
"step": 2000
},
{
"epoch": 0.53,
"learning_rate": 1.4062898427539311e-05,
"loss": 0.0006,
"step": 2500
},
{
"epoch": 0.64,
"learning_rate": 1.0875478113047175e-05,
"loss": 0.0006,
"step": 3000
},
{
"epoch": 0.74,
"learning_rate": 7.688057798555037e-06,
"loss": 0.0,
"step": 3500
},
{
"epoch": 0.85,
"learning_rate": 4.500637484062899e-06,
"loss": 0.0003,
"step": 4000
},
{
"epoch": 0.96,
"learning_rate": 1.3132171695707608e-06,
"loss": 0.0,
"step": 4500
},
{
"epoch": 1.0,
"eval_loss": 0.00019271760538686067,
"eval_runtime": 829.7336,
"eval_samples_per_second": 90.73,
"eval_steps_per_second": 5.672,
"step": 4706
}
],
"logging_steps": 500,
"max_steps": 4706,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 500,
"total_flos": 1.89368250236928e+16,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}
|