File size: 11,126 Bytes
32b4f67
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
{
  "best_global_step": null,
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 1.0,
  "eval_steps": 79,
  "global_step": 782,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0,
      "eval_cosine_accuracy@1": 0.232,
      "eval_cosine_accuracy@10": 0.456,
      "eval_cosine_accuracy@3": 0.3365,
      "eval_cosine_accuracy@5": 0.389,
      "eval_cosine_map@100": 0.14334533833340427,
      "eval_cosine_mrr@10": 0.2988200396825396,
      "eval_cosine_ndcg@10": 0.19590710853524823,
      "eval_cosine_precision@1": 0.232,
      "eval_cosine_precision@10": 0.10355000000000002,
      "eval_cosine_precision@3": 0.177,
      "eval_cosine_precision@5": 0.1452,
      "eval_cosine_recall@1": 0.0548117388039026,
      "eval_cosine_recall@10": 0.18984275866485092,
      "eval_cosine_recall@3": 0.11065666057433865,
      "eval_cosine_recall@5": 0.1464970398055657,
      "eval_loss": 2.950530767440796,
      "eval_runtime": 28.7759,
      "eval_samples_per_second": 69.502,
      "eval_steps_per_second": 1.112,
      "step": 0
    },
    {
      "epoch": 0.10112,
      "grad_norm": 4.060101509094238,
      "learning_rate": 4.936708860759494e-05,
      "loss": 1.7256,
      "step": 79
    },
    {
      "epoch": 0.10112,
      "eval_cosine_accuracy@1": 0.4915,
      "eval_cosine_accuracy@10": 0.709,
      "eval_cosine_accuracy@3": 0.6055,
      "eval_cosine_accuracy@5": 0.65,
      "eval_cosine_map@100": 0.37501954096960194,
      "eval_cosine_mrr@10": 0.5594632936507937,
      "eval_cosine_ndcg@10": 0.4471963096331387,
      "eval_cosine_precision@1": 0.4915,
      "eval_cosine_precision@10": 0.20455,
      "eval_cosine_precision@3": 0.3835,
      "eval_cosine_precision@5": 0.30490000000000006,
      "eval_cosine_recall@1": 0.15563947633799366,
      "eval_cosine_recall@10": 0.4411529898745371,
      "eval_cosine_recall@3": 0.30525816129147315,
      "eval_cosine_recall@5": 0.3661646057217302,
      "eval_loss": 0.869914174079895,
      "eval_runtime": 32.9054,
      "eval_samples_per_second": 60.78,
      "eval_steps_per_second": 0.972,
      "step": 79
    },
    {
      "epoch": 0.20224,
      "grad_norm": 3.455092668533325,
      "learning_rate": 4.4452347083926033e-05,
      "loss": 0.8044,
      "step": 158
    },
    {
      "epoch": 0.20224,
      "eval_cosine_accuracy@1": 0.538,
      "eval_cosine_accuracy@10": 0.7835,
      "eval_cosine_accuracy@3": 0.671,
      "eval_cosine_accuracy@5": 0.72,
      "eval_cosine_map@100": 0.4288531840469143,
      "eval_cosine_mrr@10": 0.6170097222222221,
      "eval_cosine_ndcg@10": 0.5071737492167014,
      "eval_cosine_precision@1": 0.538,
      "eval_cosine_precision@10": 0.22805,
      "eval_cosine_precision@3": 0.419,
      "eval_cosine_precision@5": 0.336,
      "eval_cosine_recall@1": 0.18509011905489597,
      "eval_cosine_recall@10": 0.5088450856238615,
      "eval_cosine_recall@3": 0.35023499358379173,
      "eval_cosine_recall@5": 0.42149330607177377,
      "eval_loss": 0.6144608855247498,
      "eval_runtime": 33.0639,
      "eval_samples_per_second": 60.489,
      "eval_steps_per_second": 0.968,
      "step": 158
    },
    {
      "epoch": 0.30336,
      "grad_norm": 3.299586534500122,
      "learning_rate": 3.883357041251778e-05,
      "loss": 0.6254,
      "step": 237
    },
    {
      "epoch": 0.30336,
      "eval_cosine_accuracy@1": 0.571,
      "eval_cosine_accuracy@10": 0.807,
      "eval_cosine_accuracy@3": 0.697,
      "eval_cosine_accuracy@5": 0.747,
      "eval_cosine_map@100": 0.45768471305297626,
      "eval_cosine_mrr@10": 0.6465369047619048,
      "eval_cosine_ndcg@10": 0.5352649581411899,
      "eval_cosine_precision@1": 0.571,
      "eval_cosine_precision@10": 0.23940000000000003,
      "eval_cosine_precision@3": 0.446,
      "eval_cosine_precision@5": 0.3534000000000001,
      "eval_cosine_recall@1": 0.19728028074863738,
      "eval_cosine_recall@10": 0.5336122046159524,
      "eval_cosine_recall@3": 0.3745295533176793,
      "eval_cosine_recall@5": 0.44429268806860206,
      "eval_loss": 0.5068339705467224,
      "eval_runtime": 32.9503,
      "eval_samples_per_second": 60.697,
      "eval_steps_per_second": 0.971,
      "step": 237
    },
    {
      "epoch": 0.40448,
      "grad_norm": 2.563180685043335,
      "learning_rate": 3.321479374110953e-05,
      "loss": 0.5215,
      "step": 316
    },
    {
      "epoch": 0.40448,
      "eval_cosine_accuracy@1": 0.6075,
      "eval_cosine_accuracy@10": 0.855,
      "eval_cosine_accuracy@3": 0.7495,
      "eval_cosine_accuracy@5": 0.8005,
      "eval_cosine_map@100": 0.4886299583708059,
      "eval_cosine_mrr@10": 0.6879220238095239,
      "eval_cosine_ndcg@10": 0.5725427973832125,
      "eval_cosine_precision@1": 0.6075,
      "eval_cosine_precision@10": 0.25585,
      "eval_cosine_precision@3": 0.4696666666666666,
      "eval_cosine_precision@5": 0.3763000000000001,
      "eval_cosine_recall@1": 0.21129895871002893,
      "eval_cosine_recall@10": 0.5768064108469603,
      "eval_cosine_recall@3": 0.3986053442055735,
      "eval_cosine_recall@5": 0.4793458893809688,
      "eval_loss": 0.4230406582355499,
      "eval_runtime": 32.9072,
      "eval_samples_per_second": 60.777,
      "eval_steps_per_second": 0.972,
      "step": 316
    },
    {
      "epoch": 0.5056,
      "grad_norm": 2.914031744003296,
      "learning_rate": 2.759601706970128e-05,
      "loss": 0.4507,
      "step": 395
    },
    {
      "epoch": 0.5056,
      "eval_cosine_accuracy@1": 0.6285,
      "eval_cosine_accuracy@10": 0.8675,
      "eval_cosine_accuracy@3": 0.753,
      "eval_cosine_accuracy@5": 0.812,
      "eval_cosine_map@100": 0.5064669285677783,
      "eval_cosine_mrr@10": 0.7049886904761903,
      "eval_cosine_ndcg@10": 0.5906093986384608,
      "eval_cosine_precision@1": 0.6285,
      "eval_cosine_precision@10": 0.26185,
      "eval_cosine_precision@3": 0.4774999999999999,
      "eval_cosine_precision@5": 0.38320000000000004,
      "eval_cosine_recall@1": 0.22386914380224288,
      "eval_cosine_recall@10": 0.5924252077258059,
      "eval_cosine_recall@3": 0.4076045673568921,
      "eval_cosine_recall@5": 0.4945358123439019,
      "eval_loss": 0.3786991834640503,
      "eval_runtime": 32.9486,
      "eval_samples_per_second": 60.701,
      "eval_steps_per_second": 0.971,
      "step": 395
    },
    {
      "epoch": 0.60672,
      "grad_norm": 2.8829078674316406,
      "learning_rate": 2.197724039829303e-05,
      "loss": 0.4014,
      "step": 474
    },
    {
      "epoch": 0.60672,
      "eval_cosine_accuracy@1": 0.6365,
      "eval_cosine_accuracy@10": 0.876,
      "eval_cosine_accuracy@3": 0.771,
      "eval_cosine_accuracy@5": 0.8255,
      "eval_cosine_map@100": 0.5197156334384408,
      "eval_cosine_mrr@10": 0.7141259920634916,
      "eval_cosine_ndcg@10": 0.601418022062486,
      "eval_cosine_precision@1": 0.6365,
      "eval_cosine_precision@10": 0.26645,
      "eval_cosine_precision@3": 0.48833333333333334,
      "eval_cosine_precision@5": 0.3937,
      "eval_cosine_recall@1": 0.22605882194620797,
      "eval_cosine_recall@10": 0.6025888884821827,
      "eval_cosine_recall@3": 0.42357208114816375,
      "eval_cosine_recall@5": 0.509917211803928,
      "eval_loss": 0.3428954482078552,
      "eval_runtime": 33.015,
      "eval_samples_per_second": 60.579,
      "eval_steps_per_second": 0.969,
      "step": 474
    },
    {
      "epoch": 0.70784,
      "grad_norm": 2.7049639225006104,
      "learning_rate": 1.6358463726884778e-05,
      "loss": 0.3779,
      "step": 553
    },
    {
      "epoch": 0.70784,
      "eval_cosine_accuracy@1": 0.6455,
      "eval_cosine_accuracy@10": 0.8815,
      "eval_cosine_accuracy@3": 0.784,
      "eval_cosine_accuracy@5": 0.8345,
      "eval_cosine_map@100": 0.5322933983250332,
      "eval_cosine_mrr@10": 0.7239722222222216,
      "eval_cosine_ndcg@10": 0.6129085102767301,
      "eval_cosine_precision@1": 0.6455,
      "eval_cosine_precision@10": 0.27020000000000005,
      "eval_cosine_precision@3": 0.49716666666666665,
      "eval_cosine_precision@5": 0.39830000000000004,
      "eval_cosine_recall@1": 0.2337385415837256,
      "eval_cosine_recall@10": 0.6114790331062327,
      "eval_cosine_recall@3": 0.43581210236649,
      "eval_cosine_recall@5": 0.5201249831864138,
      "eval_loss": 0.32787367701530457,
      "eval_runtime": 33.0268,
      "eval_samples_per_second": 60.557,
      "eval_steps_per_second": 0.969,
      "step": 553
    },
    {
      "epoch": 0.80896,
      "grad_norm": 2.0675265789031982,
      "learning_rate": 1.073968705547653e-05,
      "loss": 0.3463,
      "step": 632
    },
    {
      "epoch": 0.80896,
      "eval_cosine_accuracy@1": 0.656,
      "eval_cosine_accuracy@10": 0.889,
      "eval_cosine_accuracy@3": 0.793,
      "eval_cosine_accuracy@5": 0.839,
      "eval_cosine_map@100": 0.5425920958735082,
      "eval_cosine_mrr@10": 0.7340821428571421,
      "eval_cosine_ndcg@10": 0.6223116530478937,
      "eval_cosine_precision@1": 0.656,
      "eval_cosine_precision@10": 0.27415,
      "eval_cosine_precision@3": 0.504,
      "eval_cosine_precision@5": 0.4019000000000001,
      "eval_cosine_recall@1": 0.23843478790276604,
      "eval_cosine_recall@10": 0.6201721618621493,
      "eval_cosine_recall@3": 0.442197840531875,
      "eval_cosine_recall@5": 0.5237564546607093,
      "eval_loss": 0.30987244844436646,
      "eval_runtime": 33.1417,
      "eval_samples_per_second": 60.347,
      "eval_steps_per_second": 0.966,
      "step": 632
    },
    {
      "epoch": 0.91008,
      "grad_norm": 1.9332996606826782,
      "learning_rate": 5.120910384068279e-06,
      "loss": 0.3202,
      "step": 711
    },
    {
      "epoch": 0.91008,
      "eval_cosine_accuracy@1": 0.6545,
      "eval_cosine_accuracy@10": 0.89,
      "eval_cosine_accuracy@3": 0.7925,
      "eval_cosine_accuracy@5": 0.841,
      "eval_cosine_map@100": 0.5411107394124216,
      "eval_cosine_mrr@10": 0.7325833333333327,
      "eval_cosine_ndcg@10": 0.6220169640997574,
      "eval_cosine_precision@1": 0.6545,
      "eval_cosine_precision@10": 0.27425,
      "eval_cosine_precision@3": 0.5031666666666667,
      "eval_cosine_precision@5": 0.4011,
      "eval_cosine_recall@1": 0.23852962917260728,
      "eval_cosine_recall@10": 0.6212349911293668,
      "eval_cosine_recall@3": 0.4422107764041644,
      "eval_cosine_recall@5": 0.5245186089315591,
      "eval_loss": 0.29744598269462585,
      "eval_runtime": 33.0411,
      "eval_samples_per_second": 60.531,
      "eval_steps_per_second": 0.968,
      "step": 711
    }
  ],
  "logging_steps": 79,
  "max_steps": 782,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 79,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 0.0,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}