Commit
•
5a340fd
1
Parent(s):
c71bac1
End of training
Browse files- all_results.json +15 -0
- eval_results.json +10 -0
- train_results.json +8 -0
- trainer_state.json +541 -0
all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 197.55,
|
| 3 |
+
"eval_cer": 0.0946218197167965,
|
| 4 |
+
"eval_loss": 0.3641946017742157,
|
| 5 |
+
"eval_runtime": 96.4471,
|
| 6 |
+
"eval_samples": 1806,
|
| 7 |
+
"eval_samples_per_second": 18.725,
|
| 8 |
+
"eval_steps_per_second": 0.301,
|
| 9 |
+
"eval_wer": 0.41896696619044543,
|
| 10 |
+
"train_loss": 1.5647427196365646,
|
| 11 |
+
"train_runtime": 50885.6899,
|
| 12 |
+
"train_samples": 3919,
|
| 13 |
+
"train_samples_per_second": 15.405,
|
| 14 |
+
"train_steps_per_second": 0.12
|
| 15 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 197.55,
|
| 3 |
+
"eval_cer": 0.0946218197167965,
|
| 4 |
+
"eval_loss": 0.3641946017742157,
|
| 5 |
+
"eval_runtime": 96.4471,
|
| 6 |
+
"eval_samples": 1806,
|
| 7 |
+
"eval_samples_per_second": 18.725,
|
| 8 |
+
"eval_steps_per_second": 0.301,
|
| 9 |
+
"eval_wer": 0.41896696619044543
|
| 10 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 197.55,
|
| 3 |
+
"train_loss": 1.5647427196365646,
|
| 4 |
+
"train_runtime": 50885.6899,
|
| 5 |
+
"train_samples": 3919,
|
| 6 |
+
"train_samples_per_second": 15.405,
|
| 7 |
+
"train_steps_per_second": 0.12
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,541 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 197.5483870967742,
|
| 5 |
+
"global_step": 6124,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 3.23,
|
| 12 |
+
"learning_rate": 1.2639705882352941e-05,
|
| 13 |
+
"loss": 14.7415,
|
| 14 |
+
"step": 100
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 6.45,
|
| 18 |
+
"learning_rate": 2.477205882352941e-05,
|
| 19 |
+
"loss": 6.4415,
|
| 20 |
+
"step": 200
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 9.68,
|
| 24 |
+
"learning_rate": 3.690441176470588e-05,
|
| 25 |
+
"loss": 4.4273,
|
| 26 |
+
"step": 300
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 12.9,
|
| 30 |
+
"learning_rate": 4.9036764705882346e-05,
|
| 31 |
+
"loss": 3.5184,
|
| 32 |
+
"step": 400
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 12.9,
|
| 36 |
+
"eval_cer": 1.0,
|
| 37 |
+
"eval_loss": 3.4210262298583984,
|
| 38 |
+
"eval_runtime": 96.9515,
|
| 39 |
+
"eval_samples_per_second": 18.628,
|
| 40 |
+
"eval_steps_per_second": 0.299,
|
| 41 |
+
"eval_wer": 1.0,
|
| 42 |
+
"step": 400
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 16.13,
|
| 46 |
+
"learning_rate": 6.116911764705881e-05,
|
| 47 |
+
"loss": 3.3554,
|
| 48 |
+
"step": 500
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 19.35,
|
| 52 |
+
"learning_rate": 7.330147058823529e-05,
|
| 53 |
+
"loss": 3.2617,
|
| 54 |
+
"step": 600
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 22.58,
|
| 58 |
+
"learning_rate": 7.5e-05,
|
| 59 |
+
"loss": 3.0887,
|
| 60 |
+
"step": 700
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 25.81,
|
| 64 |
+
"learning_rate": 7.5e-05,
|
| 65 |
+
"loss": 2.3797,
|
| 66 |
+
"step": 800
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 25.81,
|
| 70 |
+
"eval_cer": 0.2583848190644307,
|
| 71 |
+
"eval_loss": 1.1068178415298462,
|
| 72 |
+
"eval_runtime": 99.1553,
|
| 73 |
+
"eval_samples_per_second": 18.214,
|
| 74 |
+
"eval_steps_per_second": 0.292,
|
| 75 |
+
"eval_wer": 0.8389036136789708,
|
| 76 |
+
"step": 800
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"epoch": 29.03,
|
| 80 |
+
"learning_rate": 7.5e-05,
|
| 81 |
+
"loss": 1.8558,
|
| 82 |
+
"step": 900
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 32.26,
|
| 86 |
+
"learning_rate": 7.5e-05,
|
| 87 |
+
"loss": 1.6732,
|
| 88 |
+
"step": 1000
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 35.48,
|
| 92 |
+
"learning_rate": 7.5e-05,
|
| 93 |
+
"loss": 1.5624,
|
| 94 |
+
"step": 1100
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 38.71,
|
| 98 |
+
"learning_rate": 7.5e-05,
|
| 99 |
+
"loss": 1.5022,
|
| 100 |
+
"step": 1200
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 38.71,
|
| 104 |
+
"eval_cer": 0.1516846387044783,
|
| 105 |
+
"eval_loss": 0.5277877449989319,
|
| 106 |
+
"eval_runtime": 102.5824,
|
| 107 |
+
"eval_samples_per_second": 17.605,
|
| 108 |
+
"eval_steps_per_second": 0.283,
|
| 109 |
+
"eval_wer": 0.6279656086366281,
|
| 110 |
+
"step": 1200
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 41.94,
|
| 114 |
+
"learning_rate": 7.5e-05,
|
| 115 |
+
"loss": 1.4358,
|
| 116 |
+
"step": 1300
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 45.16,
|
| 120 |
+
"learning_rate": 7.5e-05,
|
| 121 |
+
"loss": 1.388,
|
| 122 |
+
"step": 1400
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 48.39,
|
| 126 |
+
"learning_rate": 7.5e-05,
|
| 127 |
+
"loss": 1.3493,
|
| 128 |
+
"step": 1500
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 51.61,
|
| 132 |
+
"learning_rate": 7.5e-05,
|
| 133 |
+
"loss": 1.3181,
|
| 134 |
+
"step": 1600
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 51.61,
|
| 138 |
+
"eval_cer": 0.12968648067846042,
|
| 139 |
+
"eval_loss": 0.4253957271575928,
|
| 140 |
+
"eval_runtime": 98.985,
|
| 141 |
+
"eval_samples_per_second": 18.245,
|
| 142 |
+
"eval_steps_per_second": 0.293,
|
| 143 |
+
"eval_wer": 0.5587303639537139,
|
| 144 |
+
"step": 1600
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 54.84,
|
| 148 |
+
"learning_rate": 7.5e-05,
|
| 149 |
+
"loss": 1.2814,
|
| 150 |
+
"step": 1700
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 58.06,
|
| 154 |
+
"learning_rate": 7.5e-05,
|
| 155 |
+
"loss": 1.2547,
|
| 156 |
+
"step": 1800
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 61.29,
|
| 160 |
+
"learning_rate": 7.5e-05,
|
| 161 |
+
"loss": 1.2244,
|
| 162 |
+
"step": 1900
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 64.52,
|
| 166 |
+
"learning_rate": 7.5e-05,
|
| 167 |
+
"loss": 1.2037,
|
| 168 |
+
"step": 2000
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 64.52,
|
| 172 |
+
"eval_cer": 0.11762730726428489,
|
| 173 |
+
"eval_loss": 0.3835846781730652,
|
| 174 |
+
"eval_runtime": 99.4181,
|
| 175 |
+
"eval_samples_per_second": 18.166,
|
| 176 |
+
"eval_steps_per_second": 0.292,
|
| 177 |
+
"eval_wer": 0.5142543150817764,
|
| 178 |
+
"step": 2000
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 67.74,
|
| 182 |
+
"learning_rate": 7.5e-05,
|
| 183 |
+
"loss": 1.1751,
|
| 184 |
+
"step": 2100
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 70.97,
|
| 188 |
+
"learning_rate": 7.5e-05,
|
| 189 |
+
"loss": 1.1642,
|
| 190 |
+
"step": 2200
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 74.19,
|
| 194 |
+
"learning_rate": 7.5e-05,
|
| 195 |
+
"loss": 1.1397,
|
| 196 |
+
"step": 2300
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 77.42,
|
| 200 |
+
"learning_rate": 7.5e-05,
|
| 201 |
+
"loss": 1.1245,
|
| 202 |
+
"step": 2400
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 77.42,
|
| 206 |
+
"eval_cer": 0.11111324302544226,
|
| 207 |
+
"eval_loss": 0.36429011821746826,
|
| 208 |
+
"eval_runtime": 98.0055,
|
| 209 |
+
"eval_samples_per_second": 18.428,
|
| 210 |
+
"eval_steps_per_second": 0.296,
|
| 211 |
+
"eval_wer": 0.48710323873553557,
|
| 212 |
+
"step": 2400
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 80.65,
|
| 216 |
+
"learning_rate": 7.5e-05,
|
| 217 |
+
"loss": 1.1057,
|
| 218 |
+
"step": 2500
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 83.87,
|
| 222 |
+
"learning_rate": 7.5e-05,
|
| 223 |
+
"loss": 1.0852,
|
| 224 |
+
"step": 2600
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 87.1,
|
| 228 |
+
"learning_rate": 7.5e-05,
|
| 229 |
+
"loss": 1.073,
|
| 230 |
+
"step": 2700
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 90.32,
|
| 234 |
+
"learning_rate": 7.5e-05,
|
| 235 |
+
"loss": 1.0582,
|
| 236 |
+
"step": 2800
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 90.32,
|
| 240 |
+
"eval_cer": 0.10623009324993285,
|
| 241 |
+
"eval_loss": 0.3561805486679077,
|
| 242 |
+
"eval_runtime": 94.8015,
|
| 243 |
+
"eval_samples_per_second": 19.05,
|
| 244 |
+
"eval_steps_per_second": 0.306,
|
| 245 |
+
"eval_wer": 0.46758032193419097,
|
| 246 |
+
"step": 2800
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 93.55,
|
| 250 |
+
"learning_rate": 7.5e-05,
|
| 251 |
+
"loss": 1.0376,
|
| 252 |
+
"step": 2900
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 96.77,
|
| 256 |
+
"learning_rate": 7.5e-05,
|
| 257 |
+
"loss": 1.0341,
|
| 258 |
+
"step": 3000
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 100.0,
|
| 262 |
+
"learning_rate": 7.416258570029382e-05,
|
| 263 |
+
"loss": 1.017,
|
| 264 |
+
"step": 3100
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 103.23,
|
| 268 |
+
"learning_rate": 7.183643486777668e-05,
|
| 269 |
+
"loss": 1.0027,
|
| 270 |
+
"step": 3200
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 103.23,
|
| 274 |
+
"eval_cer": 0.10575041252542308,
|
| 275 |
+
"eval_loss": 0.3529968559741974,
|
| 276 |
+
"eval_runtime": 98.9163,
|
| 277 |
+
"eval_samples_per_second": 18.258,
|
| 278 |
+
"eval_steps_per_second": 0.293,
|
| 279 |
+
"eval_wer": 0.4625379791841748,
|
| 280 |
+
"step": 3200
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"epoch": 106.45,
|
| 284 |
+
"learning_rate": 6.951028403525955e-05,
|
| 285 |
+
"loss": 0.9864,
|
| 286 |
+
"step": 3300
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 109.68,
|
| 290 |
+
"learning_rate": 6.71841332027424e-05,
|
| 291 |
+
"loss": 0.9769,
|
| 292 |
+
"step": 3400
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 112.9,
|
| 296 |
+
"learning_rate": 6.485798237022525e-05,
|
| 297 |
+
"loss": 0.9587,
|
| 298 |
+
"step": 3500
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 116.13,
|
| 302 |
+
"learning_rate": 6.253183153770813e-05,
|
| 303 |
+
"loss": 0.9382,
|
| 304 |
+
"step": 3600
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 116.13,
|
| 308 |
+
"eval_cer": 0.10022449057907057,
|
| 309 |
+
"eval_loss": 0.3388434052467346,
|
| 310 |
+
"eval_runtime": 98.6206,
|
| 311 |
+
"eval_samples_per_second": 18.313,
|
| 312 |
+
"eval_steps_per_second": 0.294,
|
| 313 |
+
"eval_wer": 0.44424332536039823,
|
| 314 |
+
"step": 3600
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 119.35,
|
| 318 |
+
"learning_rate": 6.020568070519098e-05,
|
| 319 |
+
"loss": 0.9296,
|
| 320 |
+
"step": 3700
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 122.58,
|
| 324 |
+
"learning_rate": 5.787952987267385e-05,
|
| 325 |
+
"loss": 0.9145,
|
| 326 |
+
"step": 3800
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 125.81,
|
| 330 |
+
"learning_rate": 5.5553379040156705e-05,
|
| 331 |
+
"loss": 0.9043,
|
| 332 |
+
"step": 3900
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 129.03,
|
| 336 |
+
"learning_rate": 5.3227228207639564e-05,
|
| 337 |
+
"loss": 0.8915,
|
| 338 |
+
"step": 4000
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 129.03,
|
| 342 |
+
"eval_cer": 0.10004221190375685,
|
| 343 |
+
"eval_loss": 0.3429908752441406,
|
| 344 |
+
"eval_runtime": 98.3419,
|
| 345 |
+
"eval_samples_per_second": 18.364,
|
| 346 |
+
"eval_steps_per_second": 0.295,
|
| 347 |
+
"eval_wer": 0.44269183528347017,
|
| 348 |
+
"step": 4000
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 132.26,
|
| 352 |
+
"learning_rate": 5.090107737512243e-05,
|
| 353 |
+
"loss": 0.8768,
|
| 354 |
+
"step": 4100
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 135.48,
|
| 358 |
+
"learning_rate": 4.857492654260528e-05,
|
| 359 |
+
"loss": 0.8697,
|
| 360 |
+
"step": 4200
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 138.71,
|
| 364 |
+
"learning_rate": 4.6248775710088145e-05,
|
| 365 |
+
"loss": 0.8604,
|
| 366 |
+
"step": 4300
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 141.94,
|
| 370 |
+
"learning_rate": 4.394588638589617e-05,
|
| 371 |
+
"loss": 0.853,
|
| 372 |
+
"step": 4400
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 141.94,
|
| 376 |
+
"eval_cer": 0.09997505660232549,
|
| 377 |
+
"eval_loss": 0.35362082719802856,
|
| 378 |
+
"eval_runtime": 98.9414,
|
| 379 |
+
"eval_samples_per_second": 18.253,
|
| 380 |
+
"eval_steps_per_second": 0.293,
|
| 381 |
+
"eval_wer": 0.437455556273838,
|
| 382 |
+
"step": 4400
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 145.16,
|
| 386 |
+
"learning_rate": 4.161973555337904e-05,
|
| 387 |
+
"loss": 0.8447,
|
| 388 |
+
"step": 4500
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 148.39,
|
| 392 |
+
"learning_rate": 3.9293584720861896e-05,
|
| 393 |
+
"loss": 0.8309,
|
| 394 |
+
"step": 4600
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 151.61,
|
| 398 |
+
"learning_rate": 3.6967433888344755e-05,
|
| 399 |
+
"loss": 0.827,
|
| 400 |
+
"step": 4700
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"epoch": 154.84,
|
| 404 |
+
"learning_rate": 3.464128305582762e-05,
|
| 405 |
+
"loss": 0.8127,
|
| 406 |
+
"step": 4800
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"epoch": 154.84,
|
| 410 |
+
"eval_cer": 0.09857438888675697,
|
| 411 |
+
"eval_loss": 0.3511004149913788,
|
| 412 |
+
"eval_runtime": 97.5708,
|
| 413 |
+
"eval_samples_per_second": 18.51,
|
| 414 |
+
"eval_steps_per_second": 0.297,
|
| 415 |
+
"eval_wer": 0.4343525761199819,
|
| 416 |
+
"step": 4800
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 158.06,
|
| 420 |
+
"learning_rate": 3.231513222331048e-05,
|
| 421 |
+
"loss": 0.8123,
|
| 422 |
+
"step": 4900
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 161.29,
|
| 426 |
+
"learning_rate": 2.9988981390793336e-05,
|
| 427 |
+
"loss": 0.8063,
|
| 428 |
+
"step": 5000
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 164.52,
|
| 432 |
+
"learning_rate": 2.76628305582762e-05,
|
| 433 |
+
"loss": 0.8046,
|
| 434 |
+
"step": 5100
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 167.74,
|
| 438 |
+
"learning_rate": 2.5336679725759056e-05,
|
| 439 |
+
"loss": 0.7861,
|
| 440 |
+
"step": 5200
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 167.74,
|
| 444 |
+
"eval_cer": 0.09927472274454123,
|
| 445 |
+
"eval_loss": 0.3595349192619324,
|
| 446 |
+
"eval_runtime": 97.9334,
|
| 447 |
+
"eval_samples_per_second": 18.441,
|
| 448 |
+
"eval_steps_per_second": 0.296,
|
| 449 |
+
"eval_wer": 0.43719697459435,
|
| 450 |
+
"step": 5200
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 170.97,
|
| 454 |
+
"learning_rate": 2.301052889324192e-05,
|
| 455 |
+
"loss": 0.7904,
|
| 456 |
+
"step": 5300
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 174.19,
|
| 460 |
+
"learning_rate": 2.068437806072478e-05,
|
| 461 |
+
"loss": 0.775,
|
| 462 |
+
"step": 5400
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 177.42,
|
| 466 |
+
"learning_rate": 1.8358227228207637e-05,
|
| 467 |
+
"loss": 0.7737,
|
| 468 |
+
"step": 5500
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 180.65,
|
| 472 |
+
"learning_rate": 1.6032076395690502e-05,
|
| 473 |
+
"loss": 0.7619,
|
| 474 |
+
"step": 5600
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 180.65,
|
| 478 |
+
"eval_cer": 0.0985456080432864,
|
| 479 |
+
"eval_loss": 0.3628048300743103,
|
| 480 |
+
"eval_runtime": 97.525,
|
| 481 |
+
"eval_samples_per_second": 18.518,
|
| 482 |
+
"eval_steps_per_second": 0.297,
|
| 483 |
+
"eval_wer": 0.43157282306548583,
|
| 484 |
+
"step": 5600
|
| 485 |
+
},
|
| 486 |
+
{
|
| 487 |
+
"epoch": 183.87,
|
| 488 |
+
"learning_rate": 1.3705925563173359e-05,
|
| 489 |
+
"loss": 0.7654,
|
| 490 |
+
"step": 5700
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 187.1,
|
| 494 |
+
"learning_rate": 1.1379774730656215e-05,
|
| 495 |
+
"loss": 0.7586,
|
| 496 |
+
"step": 5800
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 190.32,
|
| 500 |
+
"learning_rate": 9.053623898139082e-06,
|
| 501 |
+
"loss": 0.7537,
|
| 502 |
+
"step": 5900
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
"epoch": 193.55,
|
| 506 |
+
"learning_rate": 6.727473065621939e-06,
|
| 507 |
+
"loss": 0.7537,
|
| 508 |
+
"step": 6000
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 193.55,
|
| 512 |
+
"eval_cer": 0.09426685598065927,
|
| 513 |
+
"eval_loss": 0.3633102476596832,
|
| 514 |
+
"eval_runtime": 94.1997,
|
| 515 |
+
"eval_samples_per_second": 19.172,
|
| 516 |
+
"eval_steps_per_second": 0.308,
|
| 517 |
+
"eval_wer": 0.41735083069364537,
|
| 518 |
+
"step": 6000
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 196.77,
|
| 522 |
+
"learning_rate": 4.4245837414299736e-06,
|
| 523 |
+
"loss": 0.7486,
|
| 524 |
+
"step": 6100
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 197.55,
|
| 528 |
+
"step": 6124,
|
| 529 |
+
"total_flos": 1.4975736611439493e+20,
|
| 530 |
+
"train_loss": 1.5647427196365646,
|
| 531 |
+
"train_runtime": 50885.6899,
|
| 532 |
+
"train_samples_per_second": 15.405,
|
| 533 |
+
"train_steps_per_second": 0.12
|
| 534 |
+
}
|
| 535 |
+
],
|
| 536 |
+
"max_steps": 6124,
|
| 537 |
+
"num_train_epochs": 198,
|
| 538 |
+
"total_flos": 1.4975736611439493e+20,
|
| 539 |
+
"trial_name": null,
|
| 540 |
+
"trial_params": null
|
| 541 |
+
}
|