Commit
•
84fcc84
1
Parent(s):
466bfc4
End of training
Browse files- all_results.json +14 -0
- eval_results.json +9 -0
- train_results.json +8 -0
- trainer_state.json +565 -0
all_results.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 60.0,
|
| 3 |
+
"eval_loss": 0.18953098356723785,
|
| 4 |
+
"eval_runtime": 68.8099,
|
| 5 |
+
"eval_samples": 1625,
|
| 6 |
+
"eval_samples_per_second": 23.616,
|
| 7 |
+
"eval_steps_per_second": 1.482,
|
| 8 |
+
"eval_wer": 0.1983627746660922,
|
| 9 |
+
"train_loss": 1.3688410950852585,
|
| 10 |
+
"train_runtime": 13291.4016,
|
| 11 |
+
"train_samples": 3548,
|
| 12 |
+
"train_samples_per_second": 16.016,
|
| 13 |
+
"train_steps_per_second": 0.501
|
| 14 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 60.0,
|
| 3 |
+
"eval_loss": 0.18953098356723785,
|
| 4 |
+
"eval_runtime": 68.8099,
|
| 5 |
+
"eval_samples": 1625,
|
| 6 |
+
"eval_samples_per_second": 23.616,
|
| 7 |
+
"eval_steps_per_second": 1.482,
|
| 8 |
+
"eval_wer": 0.1983627746660922
|
| 9 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 60.0,
|
| 3 |
+
"train_loss": 1.3688410950852585,
|
| 4 |
+
"train_runtime": 13291.4016,
|
| 5 |
+
"train_samples": 3548,
|
| 6 |
+
"train_samples_per_second": 16.016,
|
| 7 |
+
"train_steps_per_second": 0.501
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,565 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 60.0,
|
| 5 |
+
"global_step": 6660,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.9,
|
| 12 |
+
"learning_rate": 7.275e-06,
|
| 13 |
+
"loss": 13.5875,
|
| 14 |
+
"step": 100
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 1.8,
|
| 18 |
+
"learning_rate": 1.4775e-05,
|
| 19 |
+
"loss": 5.5556,
|
| 20 |
+
"step": 200
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 2.7,
|
| 24 |
+
"learning_rate": 2.2274999999999996e-05,
|
| 25 |
+
"loss": 4.0171,
|
| 26 |
+
"step": 300
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 3.6,
|
| 30 |
+
"learning_rate": 2.9775e-05,
|
| 31 |
+
"loss": 3.4219,
|
| 32 |
+
"step": 400
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 3.6,
|
| 36 |
+
"eval_loss": 3.3127081394195557,
|
| 37 |
+
"eval_runtime": 73.7584,
|
| 38 |
+
"eval_samples_per_second": 22.031,
|
| 39 |
+
"eval_steps_per_second": 1.383,
|
| 40 |
+
"eval_wer": 1.0,
|
| 41 |
+
"step": 400
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 4.5,
|
| 45 |
+
"learning_rate": 3.7275e-05,
|
| 46 |
+
"loss": 3.2104,
|
| 47 |
+
"step": 500
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"epoch": 5.41,
|
| 51 |
+
"learning_rate": 4.4775e-05,
|
| 52 |
+
"loss": 3.152,
|
| 53 |
+
"step": 600
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 6.31,
|
| 57 |
+
"learning_rate": 5.227499999999999e-05,
|
| 58 |
+
"loss": 3.0987,
|
| 59 |
+
"step": 700
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 7.21,
|
| 63 |
+
"learning_rate": 5.9774999999999996e-05,
|
| 64 |
+
"loss": 3.0399,
|
| 65 |
+
"step": 800
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 7.21,
|
| 69 |
+
"eval_loss": 3.0330417156219482,
|
| 70 |
+
"eval_runtime": 71.6796,
|
| 71 |
+
"eval_samples_per_second": 22.67,
|
| 72 |
+
"eval_steps_per_second": 1.423,
|
| 73 |
+
"eval_wer": 1.0,
|
| 74 |
+
"step": 800
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 8.11,
|
| 78 |
+
"learning_rate": 6.7275e-05,
|
| 79 |
+
"loss": 3.0035,
|
| 80 |
+
"step": 900
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 9.01,
|
| 84 |
+
"learning_rate": 7.477499999999999e-05,
|
| 85 |
+
"loss": 2.7063,
|
| 86 |
+
"step": 1000
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 9.91,
|
| 90 |
+
"learning_rate": 7.371466431095406e-05,
|
| 91 |
+
"loss": 2.0137,
|
| 92 |
+
"step": 1100
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 10.81,
|
| 96 |
+
"learning_rate": 7.238957597173144e-05,
|
| 97 |
+
"loss": 1.5756,
|
| 98 |
+
"step": 1200
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 10.81,
|
| 102 |
+
"eval_loss": 0.6108289361000061,
|
| 103 |
+
"eval_runtime": 70.7969,
|
| 104 |
+
"eval_samples_per_second": 22.953,
|
| 105 |
+
"eval_steps_per_second": 1.441,
|
| 106 |
+
"eval_wer": 0.572425678586816,
|
| 107 |
+
"step": 1200
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 11.71,
|
| 111 |
+
"learning_rate": 7.106448763250883e-05,
|
| 112 |
+
"loss": 1.3527,
|
| 113 |
+
"step": 1300
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 12.61,
|
| 117 |
+
"learning_rate": 6.973939929328621e-05,
|
| 118 |
+
"loss": 1.2067,
|
| 119 |
+
"step": 1400
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 13.51,
|
| 123 |
+
"learning_rate": 6.841431095406359e-05,
|
| 124 |
+
"loss": 1.1508,
|
| 125 |
+
"step": 1500
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 14.41,
|
| 129 |
+
"learning_rate": 6.708922261484098e-05,
|
| 130 |
+
"loss": 1.0995,
|
| 131 |
+
"step": 1600
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 14.41,
|
| 135 |
+
"eval_loss": 0.30910709500312805,
|
| 136 |
+
"eval_runtime": 70.2841,
|
| 137 |
+
"eval_samples_per_second": 23.12,
|
| 138 |
+
"eval_steps_per_second": 1.451,
|
| 139 |
+
"eval_wer": 0.31538130116329166,
|
| 140 |
+
"step": 1600
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 15.32,
|
| 144 |
+
"learning_rate": 6.576413427561838e-05,
|
| 145 |
+
"loss": 1.0495,
|
| 146 |
+
"step": 1700
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 16.22,
|
| 150 |
+
"learning_rate": 6.443904593639576e-05,
|
| 151 |
+
"loss": 1.0183,
|
| 152 |
+
"step": 1800
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 17.12,
|
| 156 |
+
"learning_rate": 6.311395759717314e-05,
|
| 157 |
+
"loss": 0.9867,
|
| 158 |
+
"step": 1900
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 18.02,
|
| 162 |
+
"learning_rate": 6.178886925795053e-05,
|
| 163 |
+
"loss": 0.9639,
|
| 164 |
+
"step": 2000
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 18.02,
|
| 168 |
+
"eval_loss": 0.2596471905708313,
|
| 169 |
+
"eval_runtime": 70.5333,
|
| 170 |
+
"eval_samples_per_second": 23.039,
|
| 171 |
+
"eval_steps_per_second": 1.446,
|
| 172 |
+
"eval_wer": 0.2841016803102111,
|
| 173 |
+
"step": 2000
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 18.92,
|
| 177 |
+
"learning_rate": 6.046378091872791e-05,
|
| 178 |
+
"loss": 0.9383,
|
| 179 |
+
"step": 2100
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 19.82,
|
| 183 |
+
"learning_rate": 5.913869257950529e-05,
|
| 184 |
+
"loss": 0.9041,
|
| 185 |
+
"step": 2200
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 20.72,
|
| 189 |
+
"learning_rate": 5.781360424028268e-05,
|
| 190 |
+
"loss": 0.8936,
|
| 191 |
+
"step": 2300
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 21.62,
|
| 195 |
+
"learning_rate": 5.648851590106007e-05,
|
| 196 |
+
"loss": 0.9032,
|
| 197 |
+
"step": 2400
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 21.62,
|
| 201 |
+
"eval_loss": 0.22702418267726898,
|
| 202 |
+
"eval_runtime": 71.1235,
|
| 203 |
+
"eval_samples_per_second": 22.848,
|
| 204 |
+
"eval_steps_per_second": 1.434,
|
| 205 |
+
"eval_wer": 0.2513571736320552,
|
| 206 |
+
"step": 2400
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 22.52,
|
| 210 |
+
"learning_rate": 5.516342756183745e-05,
|
| 211 |
+
"loss": 0.8739,
|
| 212 |
+
"step": 2500
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 23.42,
|
| 216 |
+
"learning_rate": 5.383833922261484e-05,
|
| 217 |
+
"loss": 0.8602,
|
| 218 |
+
"step": 2600
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 24.32,
|
| 222 |
+
"learning_rate": 5.2513250883392223e-05,
|
| 223 |
+
"loss": 0.8483,
|
| 224 |
+
"step": 2700
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 25.23,
|
| 228 |
+
"learning_rate": 5.11881625441696e-05,
|
| 229 |
+
"loss": 0.8145,
|
| 230 |
+
"step": 2800
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 25.23,
|
| 234 |
+
"eval_loss": 0.21715673804283142,
|
| 235 |
+
"eval_runtime": 70.4062,
|
| 236 |
+
"eval_samples_per_second": 23.08,
|
| 237 |
+
"eval_steps_per_second": 1.449,
|
| 238 |
+
"eval_wer": 0.24834123222748816,
|
| 239 |
+
"step": 2800
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 26.13,
|
| 243 |
+
"learning_rate": 4.986307420494699e-05,
|
| 244 |
+
"loss": 0.8245,
|
| 245 |
+
"step": 2900
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 27.03,
|
| 249 |
+
"learning_rate": 4.853798586572438e-05,
|
| 250 |
+
"loss": 0.8085,
|
| 251 |
+
"step": 3000
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 27.93,
|
| 255 |
+
"learning_rate": 4.721289752650177e-05,
|
| 256 |
+
"loss": 0.8101,
|
| 257 |
+
"step": 3100
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 28.83,
|
| 261 |
+
"learning_rate": 4.588780918727915e-05,
|
| 262 |
+
"loss": 0.7845,
|
| 263 |
+
"step": 3200
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 28.83,
|
| 267 |
+
"eval_loss": 0.2083793580532074,
|
| 268 |
+
"eval_runtime": 70.1439,
|
| 269 |
+
"eval_samples_per_second": 23.167,
|
| 270 |
+
"eval_steps_per_second": 1.454,
|
| 271 |
+
"eval_wer": 0.23326152520465315,
|
| 272 |
+
"step": 3200
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 29.73,
|
| 276 |
+
"learning_rate": 4.4562720848056537e-05,
|
| 277 |
+
"loss": 0.7816,
|
| 278 |
+
"step": 3300
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 30.63,
|
| 282 |
+
"learning_rate": 4.3237632508833916e-05,
|
| 283 |
+
"loss": 0.7655,
|
| 284 |
+
"step": 3400
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 31.53,
|
| 288 |
+
"learning_rate": 4.19125441696113e-05,
|
| 289 |
+
"loss": 0.762,
|
| 290 |
+
"step": 3500
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 32.43,
|
| 294 |
+
"learning_rate": 4.058745583038869e-05,
|
| 295 |
+
"loss": 0.7694,
|
| 296 |
+
"step": 3600
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 32.43,
|
| 300 |
+
"eval_loss": 0.19744575023651123,
|
| 301 |
+
"eval_runtime": 70.5594,
|
| 302 |
+
"eval_samples_per_second": 23.03,
|
| 303 |
+
"eval_steps_per_second": 1.446,
|
| 304 |
+
"eval_wer": 0.22343817320120637,
|
| 305 |
+
"step": 3600
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 33.33,
|
| 309 |
+
"learning_rate": 3.926236749116607e-05,
|
| 310 |
+
"loss": 0.7517,
|
| 311 |
+
"step": 3700
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 34.23,
|
| 315 |
+
"learning_rate": 3.7937279151943456e-05,
|
| 316 |
+
"loss": 0.7401,
|
| 317 |
+
"step": 3800
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 35.14,
|
| 321 |
+
"learning_rate": 3.661219081272084e-05,
|
| 322 |
+
"loss": 0.7196,
|
| 323 |
+
"step": 3900
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 36.04,
|
| 327 |
+
"learning_rate": 3.528710247349823e-05,
|
| 328 |
+
"loss": 0.7333,
|
| 329 |
+
"step": 4000
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 36.04,
|
| 333 |
+
"eval_loss": 0.20204411447048187,
|
| 334 |
+
"eval_runtime": 69.6934,
|
| 335 |
+
"eval_samples_per_second": 23.316,
|
| 336 |
+
"eval_steps_per_second": 1.464,
|
| 337 |
+
"eval_wer": 0.21852649719948297,
|
| 338 |
+
"step": 4000
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 36.94,
|
| 342 |
+
"learning_rate": 3.3962014134275616e-05,
|
| 343 |
+
"loss": 0.7251,
|
| 344 |
+
"step": 4100
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 37.84,
|
| 348 |
+
"learning_rate": 3.2636925795053e-05,
|
| 349 |
+
"loss": 0.7116,
|
| 350 |
+
"step": 4200
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 38.74,
|
| 354 |
+
"learning_rate": 3.131183745583038e-05,
|
| 355 |
+
"loss": 0.7236,
|
| 356 |
+
"step": 4300
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 39.64,
|
| 360 |
+
"learning_rate": 2.998674911660777e-05,
|
| 361 |
+
"loss": 0.693,
|
| 362 |
+
"step": 4400
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 39.64,
|
| 366 |
+
"eval_loss": 0.194662407040596,
|
| 367 |
+
"eval_runtime": 69.8883,
|
| 368 |
+
"eval_samples_per_second": 23.251,
|
| 369 |
+
"eval_steps_per_second": 1.459,
|
| 370 |
+
"eval_wer": 0.21482119775958639,
|
| 371 |
+
"step": 4400
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 40.54,
|
| 375 |
+
"learning_rate": 2.866166077738516e-05,
|
| 376 |
+
"loss": 0.6943,
|
| 377 |
+
"step": 4500
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 41.44,
|
| 381 |
+
"learning_rate": 2.7336572438162543e-05,
|
| 382 |
+
"loss": 0.6938,
|
| 383 |
+
"step": 4600
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 42.34,
|
| 387 |
+
"learning_rate": 2.6011484098939926e-05,
|
| 388 |
+
"loss": 0.6831,
|
| 389 |
+
"step": 4700
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 43.24,
|
| 393 |
+
"learning_rate": 2.469964664310954e-05,
|
| 394 |
+
"loss": 0.6802,
|
| 395 |
+
"step": 4800
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 43.24,
|
| 399 |
+
"eval_loss": 0.19601202011108398,
|
| 400 |
+
"eval_runtime": 69.3985,
|
| 401 |
+
"eval_samples_per_second": 23.416,
|
| 402 |
+
"eval_steps_per_second": 1.47,
|
| 403 |
+
"eval_wer": 0.2101680310211116,
|
| 404 |
+
"step": 4800
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 44.14,
|
| 408 |
+
"learning_rate": 2.3374558303886924e-05,
|
| 409 |
+
"loss": 0.6756,
|
| 410 |
+
"step": 4900
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 45.05,
|
| 414 |
+
"learning_rate": 2.2049469964664307e-05,
|
| 415 |
+
"loss": 0.67,
|
| 416 |
+
"step": 5000
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 45.95,
|
| 420 |
+
"learning_rate": 2.0724381625441694e-05,
|
| 421 |
+
"loss": 0.6753,
|
| 422 |
+
"step": 5100
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 46.85,
|
| 426 |
+
"learning_rate": 1.939929328621908e-05,
|
| 427 |
+
"loss": 0.667,
|
| 428 |
+
"step": 5200
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 46.85,
|
| 432 |
+
"eval_loss": 0.19041335582733154,
|
| 433 |
+
"eval_runtime": 70.1706,
|
| 434 |
+
"eval_samples_per_second": 23.158,
|
| 435 |
+
"eval_steps_per_second": 1.454,
|
| 436 |
+
"eval_wer": 0.2072382593709608,
|
| 437 |
+
"step": 5200
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 47.75,
|
| 441 |
+
"learning_rate": 1.8074204946996464e-05,
|
| 442 |
+
"loss": 0.6562,
|
| 443 |
+
"step": 5300
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 48.65,
|
| 447 |
+
"learning_rate": 1.674911660777385e-05,
|
| 448 |
+
"loss": 0.666,
|
| 449 |
+
"step": 5400
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 49.55,
|
| 453 |
+
"learning_rate": 1.5424028268551237e-05,
|
| 454 |
+
"loss": 0.6572,
|
| 455 |
+
"step": 5500
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 50.45,
|
| 459 |
+
"learning_rate": 1.409893992932862e-05,
|
| 460 |
+
"loss": 0.6486,
|
| 461 |
+
"step": 5600
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 50.45,
|
| 465 |
+
"eval_loss": 0.18806982040405273,
|
| 466 |
+
"eval_runtime": 70.1099,
|
| 467 |
+
"eval_samples_per_second": 23.178,
|
| 468 |
+
"eval_steps_per_second": 1.455,
|
| 469 |
+
"eval_wer": 0.2009478672985782,
|
| 470 |
+
"step": 5600
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 51.35,
|
| 474 |
+
"learning_rate": 1.2773851590106007e-05,
|
| 475 |
+
"loss": 0.6484,
|
| 476 |
+
"step": 5700
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 52.25,
|
| 480 |
+
"learning_rate": 1.1448763250883392e-05,
|
| 481 |
+
"loss": 0.6549,
|
| 482 |
+
"step": 5800
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 53.15,
|
| 486 |
+
"learning_rate": 1.0123674911660777e-05,
|
| 487 |
+
"loss": 0.6322,
|
| 488 |
+
"step": 5900
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 54.05,
|
| 492 |
+
"learning_rate": 8.811837455830388e-06,
|
| 493 |
+
"loss": 0.6339,
|
| 494 |
+
"step": 6000
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 54.05,
|
| 498 |
+
"eval_loss": 0.1877446174621582,
|
| 499 |
+
"eval_runtime": 70.1417,
|
| 500 |
+
"eval_samples_per_second": 23.167,
|
| 501 |
+
"eval_steps_per_second": 1.454,
|
| 502 |
+
"eval_wer": 0.1988797931925894,
|
| 503 |
+
"step": 6000
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 54.95,
|
| 507 |
+
"learning_rate": 7.486749116607773e-06,
|
| 508 |
+
"loss": 0.6413,
|
| 509 |
+
"step": 6100
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 55.86,
|
| 513 |
+
"learning_rate": 6.161660777385159e-06,
|
| 514 |
+
"loss": 0.6392,
|
| 515 |
+
"step": 6200
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 56.76,
|
| 519 |
+
"learning_rate": 4.836572438162544e-06,
|
| 520 |
+
"loss": 0.6363,
|
| 521 |
+
"step": 6300
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 57.66,
|
| 525 |
+
"learning_rate": 3.511484098939929e-06,
|
| 526 |
+
"loss": 0.6254,
|
| 527 |
+
"step": 6400
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 57.66,
|
| 531 |
+
"eval_loss": 0.18933533132076263,
|
| 532 |
+
"eval_runtime": 69.6111,
|
| 533 |
+
"eval_samples_per_second": 23.344,
|
| 534 |
+
"eval_steps_per_second": 1.465,
|
| 535 |
+
"eval_wer": 0.2002585092632486,
|
| 536 |
+
"step": 6400
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 58.56,
|
| 540 |
+
"learning_rate": 2.1863957597173144e-06,
|
| 541 |
+
"loss": 0.625,
|
| 542 |
+
"step": 6500
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 59.46,
|
| 546 |
+
"learning_rate": 8.613074204946996e-07,
|
| 547 |
+
"loss": 0.6379,
|
| 548 |
+
"step": 6600
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 60.0,
|
| 552 |
+
"step": 6660,
|
| 553 |
+
"total_flos": 3.0269424793140363e+19,
|
| 554 |
+
"train_loss": 1.3688410950852585,
|
| 555 |
+
"train_runtime": 13291.4016,
|
| 556 |
+
"train_samples_per_second": 16.016,
|
| 557 |
+
"train_steps_per_second": 0.501
|
| 558 |
+
}
|
| 559 |
+
],
|
| 560 |
+
"max_steps": 6660,
|
| 561 |
+
"num_train_epochs": 60,
|
| 562 |
+
"total_flos": 3.0269424793140363e+19,
|
| 563 |
+
"trial_name": null,
|
| 564 |
+
"trial_params": null
|
| 565 |
+
}
|