End of training
Browse files- all_results.json +16 -0
- test_results.json +10 -0
- train_results.json +8 -0
- trainer_state.json +569 -0
all_results.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.999832822513235,
|
| 3 |
+
"test_loss": 1.702466607093811,
|
| 4 |
+
"test_rouge1": 0.339581706966951,
|
| 5 |
+
"test_rouge2": 0.14088925461734625,
|
| 6 |
+
"test_rougeL": 0.21095747275886956,
|
| 7 |
+
"test_rougeLsum": 0.31980037240851344,
|
| 8 |
+
"test_runtime": 5945.5892,
|
| 9 |
+
"test_samples_per_second": 1.933,
|
| 10 |
+
"test_steps_per_second": 0.121,
|
| 11 |
+
"total_flos": 4.3736503104621773e+18,
|
| 12 |
+
"train_loss": 1.7030430710285587,
|
| 13 |
+
"train_runtime": 114489.2489,
|
| 14 |
+
"train_samples_per_second": 7.523,
|
| 15 |
+
"train_steps_per_second": 0.235
|
| 16 |
+
}
|
test_results.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"test_loss": 1.702466607093811,
|
| 3 |
+
"test_rouge1": 0.339581706966951,
|
| 4 |
+
"test_rouge2": 0.14088925461734625,
|
| 5 |
+
"test_rougeL": 0.21095747275886956,
|
| 6 |
+
"test_rougeLsum": 0.31980037240851344,
|
| 7 |
+
"test_runtime": 5945.5892,
|
| 8 |
+
"test_samples_per_second": 1.933,
|
| 9 |
+
"test_steps_per_second": 0.121
|
| 10 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.999832822513235,
|
| 3 |
+
"total_flos": 4.3736503104621773e+18,
|
| 4 |
+
"train_loss": 1.7030430710285587,
|
| 5 |
+
"train_runtime": 114489.2489,
|
| 6 |
+
"train_samples_per_second": 7.523,
|
| 7 |
+
"train_steps_per_second": 0.235
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,569 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.1486110290722824,
|
| 3 |
+
"best_model_checkpoint": "/bartabsa-reproduce/outputs/gpt22gpt2_42/checkpoint-18000",
|
| 4 |
+
"epoch": 2.999832822513235,
|
| 5 |
+
"eval_steps": 2000,
|
| 6 |
+
"global_step": 26916,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.05572582892170521,
|
| 13 |
+
"grad_norm": 2.641549587249756,
|
| 14 |
+
"learning_rate": 2.5e-05,
|
| 15 |
+
"loss": 3.4506,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.11145165784341042,
|
| 20 |
+
"grad_norm": 2.0933542251586914,
|
| 21 |
+
"learning_rate": 5e-05,
|
| 22 |
+
"loss": 2.9017,
|
| 23 |
+
"step": 1000
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.16717748676511562,
|
| 27 |
+
"grad_norm": 1.5248066186904907,
|
| 28 |
+
"learning_rate": 4.9035344960642076e-05,
|
| 29 |
+
"loss": 2.7785,
|
| 30 |
+
"step": 1500
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.22290331568682084,
|
| 34 |
+
"grad_norm": 1.6139370203018188,
|
| 35 |
+
"learning_rate": 4.807068992128415e-05,
|
| 36 |
+
"loss": 2.6006,
|
| 37 |
+
"step": 2000
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.22290331568682084,
|
| 41 |
+
"eval_loss": 2.389116048812866,
|
| 42 |
+
"eval_rouge1": 0.19037910692281135,
|
| 43 |
+
"eval_rouge2": 0.04492833625707074,
|
| 44 |
+
"eval_rougeL": 0.12708407141004266,
|
| 45 |
+
"eval_rougeLsum": 0.1782021549831319,
|
| 46 |
+
"eval_runtime": 6591.4182,
|
| 47 |
+
"eval_samples_per_second": 2.028,
|
| 48 |
+
"eval_steps_per_second": 0.127,
|
| 49 |
+
"step": 2000
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"epoch": 0.27862914460852606,
|
| 53 |
+
"grad_norm": 1.6594542264938354,
|
| 54 |
+
"learning_rate": 4.7106034881926225e-05,
|
| 55 |
+
"loss": 2.4813,
|
| 56 |
+
"step": 2500
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.33435497353023125,
|
| 60 |
+
"grad_norm": 2.8870716094970703,
|
| 61 |
+
"learning_rate": 4.61413798425683e-05,
|
| 62 |
+
"loss": 2.3756,
|
| 63 |
+
"step": 3000
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.3900808024519365,
|
| 67 |
+
"grad_norm": 1.8809521198272705,
|
| 68 |
+
"learning_rate": 4.517672480321037e-05,
|
| 69 |
+
"loss": 2.2931,
|
| 70 |
+
"step": 3500
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"epoch": 0.4458066313736417,
|
| 74 |
+
"grad_norm": 1.6554068326950073,
|
| 75 |
+
"learning_rate": 4.421206976385245e-05,
|
| 76 |
+
"loss": 2.1985,
|
| 77 |
+
"step": 4000
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 0.4458066313736417,
|
| 81 |
+
"eval_loss": 2.0162405967712402,
|
| 82 |
+
"eval_rouge1": 0.260762940287145,
|
| 83 |
+
"eval_rouge2": 0.0874141148573599,
|
| 84 |
+
"eval_rougeL": 0.1660542965132621,
|
| 85 |
+
"eval_rougeLsum": 0.24517769329917644,
|
| 86 |
+
"eval_runtime": 6637.6674,
|
| 87 |
+
"eval_samples_per_second": 2.014,
|
| 88 |
+
"eval_steps_per_second": 0.126,
|
| 89 |
+
"step": 4000
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 0.5015324602953469,
|
| 93 |
+
"grad_norm": 1.5504436492919922,
|
| 94 |
+
"learning_rate": 4.324741472449452e-05,
|
| 95 |
+
"loss": 2.1302,
|
| 96 |
+
"step": 4500
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 0.5572582892170521,
|
| 100 |
+
"grad_norm": 1.6397191286087036,
|
| 101 |
+
"learning_rate": 4.2282759685136595e-05,
|
| 102 |
+
"loss": 2.0752,
|
| 103 |
+
"step": 5000
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 0.6129841181387573,
|
| 107 |
+
"grad_norm": 1.410211205482483,
|
| 108 |
+
"learning_rate": 4.131810464577867e-05,
|
| 109 |
+
"loss": 2.0196,
|
| 110 |
+
"step": 5500
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.6687099470604625,
|
| 114 |
+
"grad_norm": 1.4629054069519043,
|
| 115 |
+
"learning_rate": 4.035344960642074e-05,
|
| 116 |
+
"loss": 1.9813,
|
| 117 |
+
"step": 6000
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.6687099470604625,
|
| 121 |
+
"eval_loss": 1.8432687520980835,
|
| 122 |
+
"eval_rouge1": 0.23899211300727613,
|
| 123 |
+
"eval_rouge2": 0.07980074448958381,
|
| 124 |
+
"eval_rougeL": 0.157016441992265,
|
| 125 |
+
"eval_rougeLsum": 0.22665214645590098,
|
| 126 |
+
"eval_runtime": 6625.3747,
|
| 127 |
+
"eval_samples_per_second": 2.018,
|
| 128 |
+
"eval_steps_per_second": 0.126,
|
| 129 |
+
"step": 6000
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.7244357759821677,
|
| 133 |
+
"grad_norm": 1.630794644355774,
|
| 134 |
+
"learning_rate": 3.938879456706282e-05,
|
| 135 |
+
"loss": 1.9589,
|
| 136 |
+
"step": 6500
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.780161604903873,
|
| 140 |
+
"grad_norm": 1.3507907390594482,
|
| 141 |
+
"learning_rate": 3.84241395277049e-05,
|
| 142 |
+
"loss": 1.9353,
|
| 143 |
+
"step": 7000
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.8358874338255782,
|
| 147 |
+
"grad_norm": 1.4204024076461792,
|
| 148 |
+
"learning_rate": 3.745948448834697e-05,
|
| 149 |
+
"loss": 1.9153,
|
| 150 |
+
"step": 7500
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.8916132627472834,
|
| 154 |
+
"grad_norm": 1.4473203420639038,
|
| 155 |
+
"learning_rate": 3.6494829448989046e-05,
|
| 156 |
+
"loss": 1.8954,
|
| 157 |
+
"step": 8000
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.8916132627472834,
|
| 161 |
+
"eval_loss": 1.765182614326477,
|
| 162 |
+
"eval_rouge1": 0.2693508099975971,
|
| 163 |
+
"eval_rouge2": 0.09681331195925905,
|
| 164 |
+
"eval_rougeL": 0.17175063229741494,
|
| 165 |
+
"eval_rougeLsum": 0.25328693268916047,
|
| 166 |
+
"eval_runtime": 6661.7822,
|
| 167 |
+
"eval_samples_per_second": 2.007,
|
| 168 |
+
"eval_steps_per_second": 0.125,
|
| 169 |
+
"step": 8000
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 0.9473390916689886,
|
| 173 |
+
"grad_norm": 1.2767947912216187,
|
| 174 |
+
"learning_rate": 3.553017440963112e-05,
|
| 175 |
+
"loss": 1.8768,
|
| 176 |
+
"step": 8500
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 1.0030649205906939,
|
| 180 |
+
"grad_norm": 1.5864351987838745,
|
| 181 |
+
"learning_rate": 3.4565519370273194e-05,
|
| 182 |
+
"loss": 1.8498,
|
| 183 |
+
"step": 9000
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 1.058790749512399,
|
| 187 |
+
"grad_norm": 1.3982937335968018,
|
| 188 |
+
"learning_rate": 3.360086433091527e-05,
|
| 189 |
+
"loss": 1.6007,
|
| 190 |
+
"step": 9500
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 1.1145165784341042,
|
| 194 |
+
"grad_norm": 1.3697761297225952,
|
| 195 |
+
"learning_rate": 3.263620929155734e-05,
|
| 196 |
+
"loss": 1.5988,
|
| 197 |
+
"step": 10000
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 1.1145165784341042,
|
| 201 |
+
"eval_loss": 1.7400025129318237,
|
| 202 |
+
"eval_rouge1": 0.3181180638016936,
|
| 203 |
+
"eval_rouge2": 0.12747387109506586,
|
| 204 |
+
"eval_rougeL": 0.1992092848661834,
|
| 205 |
+
"eval_rougeLsum": 0.29982989222707246,
|
| 206 |
+
"eval_runtime": 6684.9846,
|
| 207 |
+
"eval_samples_per_second": 2.0,
|
| 208 |
+
"eval_steps_per_second": 0.125,
|
| 209 |
+
"step": 10000
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 1.1702424073558095,
|
| 213 |
+
"grad_norm": 1.364120364189148,
|
| 214 |
+
"learning_rate": 3.1671554252199416e-05,
|
| 215 |
+
"loss": 1.6006,
|
| 216 |
+
"step": 10500
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 1.2259682362775146,
|
| 220 |
+
"grad_norm": 1.3193862438201904,
|
| 221 |
+
"learning_rate": 3.070689921284149e-05,
|
| 222 |
+
"loss": 1.6012,
|
| 223 |
+
"step": 11000
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 1.28169406519922,
|
| 227 |
+
"grad_norm": 1.37600576877594,
|
| 228 |
+
"learning_rate": 2.9742244173483564e-05,
|
| 229 |
+
"loss": 1.5891,
|
| 230 |
+
"step": 11500
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 1.337419894120925,
|
| 234 |
+
"grad_norm": 1.2682479619979858,
|
| 235 |
+
"learning_rate": 2.8777589134125638e-05,
|
| 236 |
+
"loss": 1.5897,
|
| 237 |
+
"step": 12000
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 1.337419894120925,
|
| 241 |
+
"eval_loss": 1.7119464874267578,
|
| 242 |
+
"eval_rouge1": 0.3291626272267019,
|
| 243 |
+
"eval_rouge2": 0.13506936924825233,
|
| 244 |
+
"eval_rougeL": 0.20493611801658168,
|
| 245 |
+
"eval_rougeLsum": 0.31072127284396944,
|
| 246 |
+
"eval_runtime": 6702.6268,
|
| 247 |
+
"eval_samples_per_second": 1.994,
|
| 248 |
+
"eval_steps_per_second": 0.125,
|
| 249 |
+
"step": 12000
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 1.3931457230426303,
|
| 253 |
+
"grad_norm": 1.2508635520935059,
|
| 254 |
+
"learning_rate": 2.7812934094767712e-05,
|
| 255 |
+
"loss": 1.5867,
|
| 256 |
+
"step": 12500
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 1.4488715519643356,
|
| 260 |
+
"grad_norm": 1.358458399772644,
|
| 261 |
+
"learning_rate": 2.6848279055409786e-05,
|
| 262 |
+
"loss": 1.5949,
|
| 263 |
+
"step": 13000
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 1.5045973808860407,
|
| 267 |
+
"grad_norm": 1.41256582736969,
|
| 268 |
+
"learning_rate": 2.588362401605186e-05,
|
| 269 |
+
"loss": 1.5815,
|
| 270 |
+
"step": 13500
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 1.5603232098077457,
|
| 274 |
+
"grad_norm": 1.3600412607192993,
|
| 275 |
+
"learning_rate": 2.4918968976693934e-05,
|
| 276 |
+
"loss": 1.5809,
|
| 277 |
+
"step": 14000
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 1.5603232098077457,
|
| 281 |
+
"eval_loss": 1.692618489265442,
|
| 282 |
+
"eval_rouge1": 0.3451533884469822,
|
| 283 |
+
"eval_rouge2": 0.14511077647596418,
|
| 284 |
+
"eval_rougeL": 0.2141526672382322,
|
| 285 |
+
"eval_rougeLsum": 0.3261614308302348,
|
| 286 |
+
"eval_runtime": 6740.4842,
|
| 287 |
+
"eval_samples_per_second": 1.983,
|
| 288 |
+
"eval_steps_per_second": 0.124,
|
| 289 |
+
"step": 14000
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.616049038729451,
|
| 293 |
+
"grad_norm": 1.4034714698791504,
|
| 294 |
+
"learning_rate": 2.3954313937336008e-05,
|
| 295 |
+
"loss": 1.5799,
|
| 296 |
+
"step": 14500
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.6717748676511563,
|
| 300 |
+
"grad_norm": 1.2388148307800293,
|
| 301 |
+
"learning_rate": 2.2989658897978082e-05,
|
| 302 |
+
"loss": 1.57,
|
| 303 |
+
"step": 15000
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.7275006965728616,
|
| 307 |
+
"grad_norm": 1.284287452697754,
|
| 308 |
+
"learning_rate": 2.2025003858620156e-05,
|
| 309 |
+
"loss": 1.5642,
|
| 310 |
+
"step": 15500
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 1.7832265254945667,
|
| 314 |
+
"grad_norm": 1.2729047536849976,
|
| 315 |
+
"learning_rate": 2.1060348819262234e-05,
|
| 316 |
+
"loss": 1.575,
|
| 317 |
+
"step": 16000
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.7832265254945667,
|
| 321 |
+
"eval_loss": 1.6679071187973022,
|
| 322 |
+
"eval_rouge1": 0.34402110027684635,
|
| 323 |
+
"eval_rouge2": 0.14521497939582595,
|
| 324 |
+
"eval_rougeL": 0.2148820791778157,
|
| 325 |
+
"eval_rougeLsum": 0.32557257755274044,
|
| 326 |
+
"eval_runtime": 6725.0049,
|
| 327 |
+
"eval_samples_per_second": 1.988,
|
| 328 |
+
"eval_steps_per_second": 0.124,
|
| 329 |
+
"step": 16000
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 1.8389523544162718,
|
| 333 |
+
"grad_norm": 1.3148972988128662,
|
| 334 |
+
"learning_rate": 2.0095693779904308e-05,
|
| 335 |
+
"loss": 1.5683,
|
| 336 |
+
"step": 16500
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 1.894678183337977,
|
| 340 |
+
"grad_norm": 1.3657242059707642,
|
| 341 |
+
"learning_rate": 1.9131038740546382e-05,
|
| 342 |
+
"loss": 1.556,
|
| 343 |
+
"step": 17000
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 1.9504040122596824,
|
| 347 |
+
"grad_norm": 1.3399959802627563,
|
| 348 |
+
"learning_rate": 1.8166383701188456e-05,
|
| 349 |
+
"loss": 1.5561,
|
| 350 |
+
"step": 17500
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 2.0061298411813877,
|
| 354 |
+
"grad_norm": 1.3426917791366577,
|
| 355 |
+
"learning_rate": 1.720172866183053e-05,
|
| 356 |
+
"loss": 1.5302,
|
| 357 |
+
"step": 18000
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 2.0061298411813877,
|
| 361 |
+
"eval_loss": 1.686989188194275,
|
| 362 |
+
"eval_rouge1": 0.35122976981430254,
|
| 363 |
+
"eval_rouge2": 0.1486110290722824,
|
| 364 |
+
"eval_rougeL": 0.21676569213257063,
|
| 365 |
+
"eval_rougeLsum": 0.33162076027763865,
|
| 366 |
+
"eval_runtime": 6697.8554,
|
| 367 |
+
"eval_samples_per_second": 1.996,
|
| 368 |
+
"eval_steps_per_second": 0.125,
|
| 369 |
+
"step": 18000
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 2.0618556701030926,
|
| 373 |
+
"grad_norm": 1.3691883087158203,
|
| 374 |
+
"learning_rate": 1.6237073622472604e-05,
|
| 375 |
+
"loss": 1.2697,
|
| 376 |
+
"step": 18500
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 2.117581499024798,
|
| 380 |
+
"grad_norm": 1.5133634805679321,
|
| 381 |
+
"learning_rate": 1.5272418583114678e-05,
|
| 382 |
+
"loss": 1.2697,
|
| 383 |
+
"step": 19000
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 2.173307327946503,
|
| 387 |
+
"grad_norm": 1.532254934310913,
|
| 388 |
+
"learning_rate": 1.4307763543756752e-05,
|
| 389 |
+
"loss": 1.2763,
|
| 390 |
+
"step": 19500
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 2.2290331568682085,
|
| 394 |
+
"grad_norm": 1.5224040746688843,
|
| 395 |
+
"learning_rate": 1.3343108504398828e-05,
|
| 396 |
+
"loss": 1.2726,
|
| 397 |
+
"step": 20000
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 2.2290331568682085,
|
| 401 |
+
"eval_loss": 1.700244665145874,
|
| 402 |
+
"eval_rouge1": 0.34844309743022917,
|
| 403 |
+
"eval_rouge2": 0.14602958441027564,
|
| 404 |
+
"eval_rougeL": 0.21492715808201202,
|
| 405 |
+
"eval_rougeLsum": 0.3288645676067079,
|
| 406 |
+
"eval_runtime": 6694.4601,
|
| 407 |
+
"eval_samples_per_second": 1.997,
|
| 408 |
+
"eval_steps_per_second": 0.125,
|
| 409 |
+
"step": 20000
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 2.2847589857899138,
|
| 413 |
+
"grad_norm": 1.3866724967956543,
|
| 414 |
+
"learning_rate": 1.2378453465040902e-05,
|
| 415 |
+
"loss": 1.267,
|
| 416 |
+
"step": 20500
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 2.340484814711619,
|
| 420 |
+
"grad_norm": 1.449537754058838,
|
| 421 |
+
"learning_rate": 1.1413798425682977e-05,
|
| 422 |
+
"loss": 1.2713,
|
| 423 |
+
"step": 21000
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 2.396210643633324,
|
| 427 |
+
"grad_norm": 1.5382102727890015,
|
| 428 |
+
"learning_rate": 1.0449143386325052e-05,
|
| 429 |
+
"loss": 1.2661,
|
| 430 |
+
"step": 21500
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 2.4519364725550292,
|
| 434 |
+
"grad_norm": 1.4987465143203735,
|
| 435 |
+
"learning_rate": 9.484488346967126e-06,
|
| 436 |
+
"loss": 1.266,
|
| 437 |
+
"step": 22000
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 2.4519364725550292,
|
| 441 |
+
"eval_loss": 1.696866750717163,
|
| 442 |
+
"eval_rouge1": 0.34729120268114544,
|
| 443 |
+
"eval_rouge2": 0.1461422440790512,
|
| 444 |
+
"eval_rougeL": 0.21543359860015138,
|
| 445 |
+
"eval_rougeLsum": 0.3279325869793922,
|
| 446 |
+
"eval_runtime": 6702.5269,
|
| 447 |
+
"eval_samples_per_second": 1.994,
|
| 448 |
+
"eval_steps_per_second": 0.125,
|
| 449 |
+
"step": 22000
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 2.5076623014767345,
|
| 453 |
+
"grad_norm": 1.320014238357544,
|
| 454 |
+
"learning_rate": 8.5198333076092e-06,
|
| 455 |
+
"loss": 1.2621,
|
| 456 |
+
"step": 22500
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 2.56338813039844,
|
| 460 |
+
"grad_norm": 1.5119301080703735,
|
| 461 |
+
"learning_rate": 7.5551782682512745e-06,
|
| 462 |
+
"loss": 1.2599,
|
| 463 |
+
"step": 23000
|
| 464 |
+
},
|
| 465 |
+
{
|
| 466 |
+
"epoch": 2.6191139593201447,
|
| 467 |
+
"grad_norm": 1.6007628440856934,
|
| 468 |
+
"learning_rate": 6.5905232288933485e-06,
|
| 469 |
+
"loss": 1.2645,
|
| 470 |
+
"step": 23500
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 2.67483978824185,
|
| 474 |
+
"grad_norm": 1.4694104194641113,
|
| 475 |
+
"learning_rate": 5.6258681895354226e-06,
|
| 476 |
+
"loss": 1.2566,
|
| 477 |
+
"step": 24000
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 2.67483978824185,
|
| 481 |
+
"eval_loss": 1.6878169775009155,
|
| 482 |
+
"eval_rouge1": 0.3487035276268111,
|
| 483 |
+
"eval_rouge2": 0.14689326081743093,
|
| 484 |
+
"eval_rougeL": 0.21600752679935203,
|
| 485 |
+
"eval_rougeLsum": 0.3296249182423762,
|
| 486 |
+
"eval_runtime": 6708.9033,
|
| 487 |
+
"eval_samples_per_second": 1.993,
|
| 488 |
+
"eval_steps_per_second": 0.125,
|
| 489 |
+
"step": 24000
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 2.7305656171635553,
|
| 493 |
+
"grad_norm": 1.402747631072998,
|
| 494 |
+
"learning_rate": 4.661213150177497e-06,
|
| 495 |
+
"loss": 1.2663,
|
| 496 |
+
"step": 24500
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 2.7862914460852606,
|
| 500 |
+
"grad_norm": 1.5145317316055298,
|
| 501 |
+
"learning_rate": 3.6965581108195706e-06,
|
| 502 |
+
"loss": 1.2573,
|
| 503 |
+
"step": 25000
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 2.842017275006966,
|
| 507 |
+
"grad_norm": 1.4094128608703613,
|
| 508 |
+
"learning_rate": 2.7319030714616455e-06,
|
| 509 |
+
"loss": 1.2584,
|
| 510 |
+
"step": 25500
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 2.897743103928671,
|
| 514 |
+
"grad_norm": 1.3608603477478027,
|
| 515 |
+
"learning_rate": 1.7672480321037198e-06,
|
| 516 |
+
"loss": 1.2572,
|
| 517 |
+
"step": 26000
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"epoch": 2.897743103928671,
|
| 521 |
+
"eval_loss": 1.6841516494750977,
|
| 522 |
+
"eval_rouge1": 0.3499620308080743,
|
| 523 |
+
"eval_rouge2": 0.1477254043640691,
|
| 524 |
+
"eval_rougeL": 0.21694655364952178,
|
| 525 |
+
"eval_rougeLsum": 0.3305722112116853,
|
| 526 |
+
"eval_runtime": 6698.116,
|
| 527 |
+
"eval_samples_per_second": 1.996,
|
| 528 |
+
"eval_steps_per_second": 0.125,
|
| 529 |
+
"step": 26000
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 2.953468932850376,
|
| 533 |
+
"grad_norm": 1.4232847690582275,
|
| 534 |
+
"learning_rate": 8.025929927457941e-07,
|
| 535 |
+
"loss": 1.2569,
|
| 536 |
+
"step": 26500
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 2.999832822513235,
|
| 540 |
+
"step": 26916,
|
| 541 |
+
"total_flos": 4.3736503104621773e+18,
|
| 542 |
+
"train_loss": 1.7030430710285587,
|
| 543 |
+
"train_runtime": 114489.2489,
|
| 544 |
+
"train_samples_per_second": 7.523,
|
| 545 |
+
"train_steps_per_second": 0.235
|
| 546 |
+
}
|
| 547 |
+
],
|
| 548 |
+
"logging_steps": 500,
|
| 549 |
+
"max_steps": 26916,
|
| 550 |
+
"num_input_tokens_seen": 0,
|
| 551 |
+
"num_train_epochs": 3,
|
| 552 |
+
"save_steps": 2000,
|
| 553 |
+
"stateful_callbacks": {
|
| 554 |
+
"TrainerControl": {
|
| 555 |
+
"args": {
|
| 556 |
+
"should_epoch_stop": false,
|
| 557 |
+
"should_evaluate": false,
|
| 558 |
+
"should_log": false,
|
| 559 |
+
"should_save": true,
|
| 560 |
+
"should_training_stop": true
|
| 561 |
+
},
|
| 562 |
+
"attributes": {}
|
| 563 |
+
}
|
| 564 |
+
},
|
| 565 |
+
"total_flos": 4.3736503104621773e+18,
|
| 566 |
+
"train_batch_size": 8,
|
| 567 |
+
"trial_name": null,
|
| 568 |
+
"trial_params": null
|
| 569 |
+
}
|