Upload trainer_state.json with huggingface_hub
Browse files- trainer_state.json +557 -0
trainer_state.json
ADDED
|
@@ -0,0 +1,557 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 3.0,
|
| 6 |
+
"eval_steps": 13,
|
| 7 |
+
"global_step": 69,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.043478260869565216,
|
| 14 |
+
"grad_norm": 0.7634550333023071,
|
| 15 |
+
"learning_rate": 0.0,
|
| 16 |
+
"loss": 1.4302,
|
| 17 |
+
"step": 1
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.08695652173913043,
|
| 21 |
+
"grad_norm": 0.6962459683418274,
|
| 22 |
+
"learning_rate": 3.75e-05,
|
| 23 |
+
"loss": 1.4551,
|
| 24 |
+
"step": 2
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.13043478260869565,
|
| 28 |
+
"grad_norm": 0.5518960952758789,
|
| 29 |
+
"learning_rate": 7.5e-05,
|
| 30 |
+
"loss": 1.1797,
|
| 31 |
+
"step": 3
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.17391304347826086,
|
| 35 |
+
"grad_norm": 0.5505545735359192,
|
| 36 |
+
"learning_rate": 0.0001125,
|
| 37 |
+
"loss": 1.2842,
|
| 38 |
+
"step": 4
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.21739130434782608,
|
| 42 |
+
"grad_norm": 0.22443649172782898,
|
| 43 |
+
"learning_rate": 0.00015,
|
| 44 |
+
"loss": 1.0566,
|
| 45 |
+
"step": 5
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.2608695652173913,
|
| 49 |
+
"grad_norm": 0.1337110549211502,
|
| 50 |
+
"learning_rate": 0.00014992117531118204,
|
| 51 |
+
"loss": 1.0601,
|
| 52 |
+
"step": 6
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.30434782608695654,
|
| 56 |
+
"grad_norm": 0.13790792226791382,
|
| 57 |
+
"learning_rate": 0.00014968488534344127,
|
| 58 |
+
"loss": 1.1489,
|
| 59 |
+
"step": 7
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.34782608695652173,
|
| 63 |
+
"grad_norm": 0.11578402668237686,
|
| 64 |
+
"learning_rate": 0.00014929168196294593,
|
| 65 |
+
"loss": 0.9451,
|
| 66 |
+
"step": 8
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.391304347826087,
|
| 70 |
+
"grad_norm": 0.11953484266996384,
|
| 71 |
+
"learning_rate": 0.0001487424835144104,
|
| 72 |
+
"loss": 0.9878,
|
| 73 |
+
"step": 9
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.43478260869565216,
|
| 77 |
+
"grad_norm": 0.10787869244813919,
|
| 78 |
+
"learning_rate": 0.00014803857267625851,
|
| 79 |
+
"loss": 1.061,
|
| 80 |
+
"step": 10
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.4782608695652174,
|
| 84 |
+
"grad_norm": 0.0799792930483818,
|
| 85 |
+
"learning_rate": 0.0001471815934648687,
|
| 86 |
+
"loss": 1.1069,
|
| 87 |
+
"step": 11
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.5217391304347826,
|
| 91 |
+
"grad_norm": 0.0694027692079544,
|
| 92 |
+
"learning_rate": 0.00014617354739489765,
|
| 93 |
+
"loss": 1.0718,
|
| 94 |
+
"step": 12
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.5652173913043478,
|
| 98 |
+
"grad_norm": 0.06417166441679001,
|
| 99 |
+
"learning_rate": 0.0001450167888046499,
|
| 100 |
+
"loss": 1.0039,
|
| 101 |
+
"step": 13
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.6086956521739131,
|
| 105 |
+
"grad_norm": 0.06427249312400818,
|
| 106 |
+
"learning_rate": 0.0001437140193574118,
|
| 107 |
+
"loss": 0.9702,
|
| 108 |
+
"step": 14
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.6521739130434783,
|
| 112 |
+
"grad_norm": 0.0544593371450901,
|
| 113 |
+
"learning_rate": 0.00014226828173159164,
|
| 114 |
+
"loss": 0.8267,
|
| 115 |
+
"step": 15
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.6956521739130435,
|
| 119 |
+
"grad_norm": 0.07362852245569229,
|
| 120 |
+
"learning_rate": 0.0001406829525144033,
|
| 121 |
+
"loss": 0.9722,
|
| 122 |
+
"step": 16
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.7391304347826086,
|
| 126 |
+
"grad_norm": 0.07204615324735641,
|
| 127 |
+
"learning_rate": 0.00013896173431569029,
|
| 128 |
+
"loss": 0.9663,
|
| 129 |
+
"step": 17
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.7391304347826086,
|
| 133 |
+
"eval_loss": 0.90576171875,
|
| 134 |
+
"eval_runtime": 4.3927,
|
| 135 |
+
"eval_samples_per_second": 2.277,
|
| 136 |
+
"eval_steps_per_second": 0.455,
|
| 137 |
+
"step": 17
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.782608695652174,
|
| 141 |
+
"grad_norm": 0.06425914168357849,
|
| 142 |
+
"learning_rate": 0.00013710864712030893,
|
| 143 |
+
"loss": 0.9819,
|
| 144 |
+
"step": 18
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.8260869565217391,
|
| 148 |
+
"grad_norm": 0.036391615867614746,
|
| 149 |
+
"learning_rate": 0.0001351280188992675,
|
| 150 |
+
"loss": 0.8041,
|
| 151 |
+
"step": 19
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.8695652173913043,
|
| 155 |
+
"grad_norm": 0.04094429686665535,
|
| 156 |
+
"learning_rate": 0.0001330244755015493,
|
| 157 |
+
"loss": 1.0254,
|
| 158 |
+
"step": 20
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.9130434782608695,
|
| 162 |
+
"grad_norm": 0.04050302132964134,
|
| 163 |
+
"learning_rate": 0.00013080292985022816,
|
| 164 |
+
"loss": 1.0042,
|
| 165 |
+
"step": 21
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.9565217391304348,
|
| 169 |
+
"grad_norm": 0.038431670516729355,
|
| 170 |
+
"learning_rate": 0.0001284685704681088,
|
| 171 |
+
"loss": 0.9805,
|
| 172 |
+
"step": 22
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 1.0,
|
| 176 |
+
"grad_norm": 0.04781308397650719,
|
| 177 |
+
"learning_rate": 0.0001260268493596915,
|
| 178 |
+
"loss": 1.0522,
|
| 179 |
+
"step": 23
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 1.0434782608695652,
|
| 183 |
+
"grad_norm": 0.03875584527850151,
|
| 184 |
+
"learning_rate": 0.000123483469277763,
|
| 185 |
+
"loss": 0.9946,
|
| 186 |
+
"step": 24
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 1.0869565217391304,
|
| 190 |
+
"grad_norm": 0.038722969591617584,
|
| 191 |
+
"learning_rate": 0.000120844370404353,
|
| 192 |
+
"loss": 1.0386,
|
| 193 |
+
"step": 25
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 1.1304347826086956,
|
| 197 |
+
"grad_norm": 0.036717191338539124,
|
| 198 |
+
"learning_rate": 0.00011811571647716395,
|
| 199 |
+
"loss": 0.8828,
|
| 200 |
+
"step": 26
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 1.1739130434782608,
|
| 204 |
+
"grad_norm": 0.04138258099555969,
|
| 205 |
+
"learning_rate": 0.00011530388039387589,
|
| 206 |
+
"loss": 0.9724,
|
| 207 |
+
"step": 27
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 1.2173913043478262,
|
| 211 |
+
"grad_norm": 0.035979870706796646,
|
| 212 |
+
"learning_rate": 0.00011241542932794879,
|
| 213 |
+
"loss": 0.8765,
|
| 214 |
+
"step": 28
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 1.2608695652173914,
|
| 218 |
+
"grad_norm": 0.03545432165265083,
|
| 219 |
+
"learning_rate": 0.00010945710939068444,
|
| 220 |
+
"loss": 0.9277,
|
| 221 |
+
"step": 29
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 1.3043478260869565,
|
| 225 |
+
"grad_norm": 0.04141005128622055,
|
| 226 |
+
"learning_rate": 0.00010643582987537115,
|
| 227 |
+
"loss": 0.9895,
|
| 228 |
+
"step": 30
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 1.3043478260869565,
|
| 232 |
+
"eval_loss": 0.873291015625,
|
| 233 |
+
"eval_runtime": 4.3467,
|
| 234 |
+
"eval_samples_per_second": 2.301,
|
| 235 |
+
"eval_steps_per_second": 0.46,
|
| 236 |
+
"step": 30
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 1.3478260869565217,
|
| 240 |
+
"grad_norm": 0.03391469269990921,
|
| 241 |
+
"learning_rate": 0.00010335864712030894,
|
| 242 |
+
"loss": 0.824,
|
| 243 |
+
"step": 31
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 1.391304347826087,
|
| 247 |
+
"grad_norm": 0.032858580350875854,
|
| 248 |
+
"learning_rate": 0.00010023274802840461,
|
| 249 |
+
"loss": 0.8816,
|
| 250 |
+
"step": 32
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"epoch": 1.434782608695652,
|
| 254 |
+
"grad_norm": 0.03364916890859604,
|
| 255 |
+
"learning_rate": 9.706543328182691e-05,
|
| 256 |
+
"loss": 0.9536,
|
| 257 |
+
"step": 33
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 1.4782608695652173,
|
| 261 |
+
"grad_norm": 0.034717388451099396,
|
| 262 |
+
"learning_rate": 9.386410029092507e-05,
|
| 263 |
+
"loss": 1.0142,
|
| 264 |
+
"step": 34
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 1.5217391304347827,
|
| 268 |
+
"grad_norm": 0.040148813277482986,
|
| 269 |
+
"learning_rate": 9.063622591723429e-05,
|
| 270 |
+
"loss": 0.9756,
|
| 271 |
+
"step": 35
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 1.5652173913043477,
|
| 275 |
+
"grad_norm": 0.03408735245466232,
|
| 276 |
+
"learning_rate": 8.738934901091897e-05,
|
| 277 |
+
"loss": 0.9312,
|
| 278 |
+
"step": 36
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 1.608695652173913,
|
| 282 |
+
"grad_norm": 0.0321255587041378,
|
| 283 |
+
"learning_rate": 8.413105280343893e-05,
|
| 284 |
+
"loss": 0.9043,
|
| 285 |
+
"step": 37
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 1.6521739130434783,
|
| 289 |
+
"grad_norm": 0.03103114850819111,
|
| 290 |
+
"learning_rate": 8.086894719656108e-05,
|
| 291 |
+
"loss": 0.7712,
|
| 292 |
+
"step": 38
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 1.6956521739130435,
|
| 296 |
+
"grad_norm": 0.03416038304567337,
|
| 297 |
+
"learning_rate": 7.761065098908105e-05,
|
| 298 |
+
"loss": 0.9062,
|
| 299 |
+
"step": 39
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 1.7391304347826086,
|
| 303 |
+
"grad_norm": 0.03245851770043373,
|
| 304 |
+
"learning_rate": 7.436377408276571e-05,
|
| 305 |
+
"loss": 0.9055,
|
| 306 |
+
"step": 40
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 1.7826086956521738,
|
| 310 |
+
"grad_norm": 0.03590395301580429,
|
| 311 |
+
"learning_rate": 7.113589970907489e-05,
|
| 312 |
+
"loss": 0.9229,
|
| 313 |
+
"step": 41
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 1.8260869565217392,
|
| 317 |
+
"grad_norm": 0.032267358154058456,
|
| 318 |
+
"learning_rate": 6.793456671817309e-05,
|
| 319 |
+
"loss": 0.7598,
|
| 320 |
+
"step": 42
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 1.8695652173913042,
|
| 324 |
+
"grad_norm": 0.03612128645181656,
|
| 325 |
+
"learning_rate": 6.476725197159537e-05,
|
| 326 |
+
"loss": 0.9722,
|
| 327 |
+
"step": 43
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 1.8695652173913042,
|
| 331 |
+
"eval_loss": 0.8590087890625,
|
| 332 |
+
"eval_runtime": 4.3562,
|
| 333 |
+
"eval_samples_per_second": 2.296,
|
| 334 |
+
"eval_steps_per_second": 0.459,
|
| 335 |
+
"step": 43
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 1.9130434782608696,
|
| 339 |
+
"grad_norm": 0.03612411394715309,
|
| 340 |
+
"learning_rate": 6.164135287969106e-05,
|
| 341 |
+
"loss": 0.9539,
|
| 342 |
+
"step": 44
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 1.9565217391304348,
|
| 346 |
+
"grad_norm": 0.03321658819913864,
|
| 347 |
+
"learning_rate": 5.856417012462883e-05,
|
| 348 |
+
"loss": 0.9355,
|
| 349 |
+
"step": 45
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 2.0,
|
| 353 |
+
"grad_norm": 0.03923092409968376,
|
| 354 |
+
"learning_rate": 5.554289060931557e-05,
|
| 355 |
+
"loss": 0.9976,
|
| 356 |
+
"step": 46
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 2.0434782608695654,
|
| 360 |
+
"grad_norm": 0.03545928746461868,
|
| 361 |
+
"learning_rate": 5.258457067205121e-05,
|
| 362 |
+
"loss": 0.9478,
|
| 363 |
+
"step": 47
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 2.0869565217391304,
|
| 367 |
+
"grad_norm": 0.033447980880737305,
|
| 368 |
+
"learning_rate": 4.969611960612409e-05,
|
| 369 |
+
"loss": 0.9971,
|
| 370 |
+
"step": 48
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 2.130434782608696,
|
| 374 |
+
"grad_norm": 0.030967000871896744,
|
| 375 |
+
"learning_rate": 4.688428352283603e-05,
|
| 376 |
+
"loss": 0.8506,
|
| 377 |
+
"step": 49
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 2.1739130434782608,
|
| 381 |
+
"grad_norm": 0.03545485809445381,
|
| 382 |
+
"learning_rate": 4.4155629595646986e-05,
|
| 383 |
+
"loss": 0.9329,
|
| 384 |
+
"step": 50
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 2.217391304347826,
|
| 388 |
+
"grad_norm": 0.03325090929865837,
|
| 389 |
+
"learning_rate": 4.151653072223699e-05,
|
| 390 |
+
"loss": 0.8462,
|
| 391 |
+
"step": 51
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 2.260869565217391,
|
| 395 |
+
"grad_norm": 0.029995175078511238,
|
| 396 |
+
"learning_rate": 3.8973150640308497e-05,
|
| 397 |
+
"loss": 0.897,
|
| 398 |
+
"step": 52
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 2.3043478260869565,
|
| 402 |
+
"grad_norm": 0.03587409108877182,
|
| 403 |
+
"learning_rate": 3.653142953189118e-05,
|
| 404 |
+
"loss": 0.9556,
|
| 405 |
+
"step": 53
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 2.3478260869565215,
|
| 409 |
+
"grad_norm": 0.03194161877036095,
|
| 410 |
+
"learning_rate": 3.419707014977183e-05,
|
| 411 |
+
"loss": 0.8,
|
| 412 |
+
"step": 54
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"epoch": 2.391304347826087,
|
| 416 |
+
"grad_norm": 0.03137723729014397,
|
| 417 |
+
"learning_rate": 3.197552449845067e-05,
|
| 418 |
+
"loss": 0.8569,
|
| 419 |
+
"step": 55
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 2.4347826086956523,
|
| 423 |
+
"grad_norm": 0.032495368272066116,
|
| 424 |
+
"learning_rate": 2.987198110073249e-05,
|
| 425 |
+
"loss": 0.9253,
|
| 426 |
+
"step": 56
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 2.4347826086956523,
|
| 430 |
+
"eval_loss": 0.85205078125,
|
| 431 |
+
"eval_runtime": 4.3748,
|
| 432 |
+
"eval_samples_per_second": 2.286,
|
| 433 |
+
"eval_steps_per_second": 0.457,
|
| 434 |
+
"step": 56
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 2.4782608695652173,
|
| 438 |
+
"grad_norm": 0.03498929366469383,
|
| 439 |
+
"learning_rate": 2.7891352879691055e-05,
|
| 440 |
+
"loss": 0.9917,
|
| 441 |
+
"step": 57
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 2.5217391304347827,
|
| 445 |
+
"grad_norm": 0.03751672804355621,
|
| 446 |
+
"learning_rate": 2.6038265684309694e-05,
|
| 447 |
+
"loss": 0.9478,
|
| 448 |
+
"step": 58
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"epoch": 2.5652173913043477,
|
| 452 |
+
"grad_norm": 0.03346884623169899,
|
| 453 |
+
"learning_rate": 2.4317047485596673e-05,
|
| 454 |
+
"loss": 0.9106,
|
| 455 |
+
"step": 59
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 2.608695652173913,
|
| 459 |
+
"grad_norm": 0.033841464668512344,
|
| 460 |
+
"learning_rate": 2.2731718268408336e-05,
|
| 461 |
+
"loss": 0.8862,
|
| 462 |
+
"step": 60
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 2.6521739130434785,
|
| 466 |
+
"grad_norm": 0.030843093991279602,
|
| 467 |
+
"learning_rate": 2.1285980642588184e-05,
|
| 468 |
+
"loss": 0.7553,
|
| 469 |
+
"step": 61
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"epoch": 2.6956521739130435,
|
| 473 |
+
"grad_norm": 0.03349591791629791,
|
| 474 |
+
"learning_rate": 1.9983211195350096e-05,
|
| 475 |
+
"loss": 0.8867,
|
| 476 |
+
"step": 62
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 2.7391304347826084,
|
| 480 |
+
"grad_norm": 0.03341041877865791,
|
| 481 |
+
"learning_rate": 1.8826452605102335e-05,
|
| 482 |
+
"loss": 0.8867,
|
| 483 |
+
"step": 63
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 2.782608695652174,
|
| 487 |
+
"grad_norm": 0.03790866583585739,
|
| 488 |
+
"learning_rate": 1.781840653513128e-05,
|
| 489 |
+
"loss": 0.9058,
|
| 490 |
+
"step": 64
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 2.8260869565217392,
|
| 494 |
+
"grad_norm": 0.02903052605688572,
|
| 495 |
+
"learning_rate": 1.696142732374149e-05,
|
| 496 |
+
"loss": 0.7474,
|
| 497 |
+
"step": 65
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 2.869565217391304,
|
| 501 |
+
"grad_norm": 0.032797202467918396,
|
| 502 |
+
"learning_rate": 1.625751648558959e-05,
|
| 503 |
+
"loss": 0.9536,
|
| 504 |
+
"step": 66
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 2.9130434782608696,
|
| 508 |
+
"grad_norm": 0.032798297703266144,
|
| 509 |
+
"learning_rate": 1.570831803705405e-05,
|
| 510 |
+
"loss": 0.939,
|
| 511 |
+
"step": 67
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 2.9565217391304346,
|
| 515 |
+
"grad_norm": 0.03150875121355057,
|
| 516 |
+
"learning_rate": 1.5315114656558717e-05,
|
| 517 |
+
"loss": 0.9233,
|
| 518 |
+
"step": 68
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 3.0,
|
| 522 |
+
"grad_norm": 0.04027010127902031,
|
| 523 |
+
"learning_rate": 1.5078824688817951e-05,
|
| 524 |
+
"loss": 0.9819,
|
| 525 |
+
"step": 69
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 3.0,
|
| 529 |
+
"eval_loss": 0.849609375,
|
| 530 |
+
"eval_runtime": 4.3942,
|
| 531 |
+
"eval_samples_per_second": 2.276,
|
| 532 |
+
"eval_steps_per_second": 0.455,
|
| 533 |
+
"step": 69
|
| 534 |
+
}
|
| 535 |
+
],
|
| 536 |
+
"logging_steps": 1.0,
|
| 537 |
+
"max_steps": 69,
|
| 538 |
+
"num_input_tokens_seen": 0,
|
| 539 |
+
"num_train_epochs": 3,
|
| 540 |
+
"save_steps": 0,
|
| 541 |
+
"stateful_callbacks": {
|
| 542 |
+
"TrainerControl": {
|
| 543 |
+
"args": {
|
| 544 |
+
"should_epoch_stop": false,
|
| 545 |
+
"should_evaluate": false,
|
| 546 |
+
"should_log": false,
|
| 547 |
+
"should_save": true,
|
| 548 |
+
"should_training_stop": true
|
| 549 |
+
},
|
| 550 |
+
"attributes": {}
|
| 551 |
+
}
|
| 552 |
+
},
|
| 553 |
+
"total_flos": 3.464101375758041e+18,
|
| 554 |
+
"train_batch_size": 1,
|
| 555 |
+
"trial_name": null,
|
| 556 |
+
"trial_params": null
|
| 557 |
+
}
|