krishnakalyan3 commited on
Commit
cbe5132
1 Parent(s): 4dda9a2

7d4e95995fef13dec9dc2babba263c7946eb4c893771dacc99862f9311c090de

Browse files
Files changed (6) hide show
  1. model.safetensors +3 -0
  2. optimizer.pt +3 -0
  3. rng_state.pth +3 -0
  4. scheduler.pt +3 -0
  5. trainer_state.json +2113 -0
  6. training_args.bin +3 -0
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a43c4f875942463645533430d9c55b742442309a4afaf5ad89a154734af9de26
3
+ size 379087640
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f8bae18bbc9d80f9de7a5d0ee12c76712e6edb5d99f00ce4cda7f91c23205d1f
3
+ size 3152668
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:88670816ebb9d3eff703b52fe5798928887886c40c85d6efedd4d8474e1ad671
3
+ size 14308
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:561c3d7591491183cabf86f8f5d391ee2b7ccd9426d42b0a4e9cdb8d70d862c3
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,2113 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.13265489532696664,
3
+ "best_model_checkpoint": "/workspace/disk2/krishna/checkpoints/checkpoint-1300",
4
+ "epoch": 0.13,
5
+ "eval_steps": 10,
6
+ "global_step": 1300,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.001,
13
+ "grad_norm": 1.7856025695800781,
14
+ "learning_rate": 5.000000000000001e-07,
15
+ "loss": 0.682,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.001,
20
+ "eval_cos_sim": 0.30435964465141296,
21
+ "eval_loss": 0.6965229106162732,
22
+ "eval_runtime": 181.358,
23
+ "eval_samples_per_second": 22.056,
24
+ "eval_steps_per_second": 0.347,
25
+ "step": 10
26
+ },
27
+ {
28
+ "epoch": 0.002,
29
+ "grad_norm": 1.632306694984436,
30
+ "learning_rate": 1.0000000000000002e-06,
31
+ "loss": 0.6902,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 0.002,
36
+ "eval_cos_sim": 0.3060647249221802,
37
+ "eval_loss": 0.6948180051063245,
38
+ "eval_runtime": 158.9409,
39
+ "eval_samples_per_second": 25.167,
40
+ "eval_steps_per_second": 0.396,
41
+ "step": 20
42
+ },
43
+ {
44
+ "epoch": 0.003,
45
+ "grad_norm": 1.4781064987182617,
46
+ "learning_rate": 1.5e-06,
47
+ "loss": 0.6879,
48
+ "step": 30
49
+ },
50
+ {
51
+ "epoch": 0.003,
52
+ "eval_cos_sim": 0.30893880128860474,
53
+ "eval_loss": 0.6919441828941053,
54
+ "eval_runtime": 163.5656,
55
+ "eval_samples_per_second": 24.455,
56
+ "eval_steps_per_second": 0.385,
57
+ "step": 30
58
+ },
59
+ {
60
+ "epoch": 0.004,
61
+ "grad_norm": 1.4996154308319092,
62
+ "learning_rate": 2.0000000000000003e-06,
63
+ "loss": 0.6805,
64
+ "step": 40
65
+ },
66
+ {
67
+ "epoch": 0.004,
68
+ "eval_cos_sim": 0.3130052089691162,
69
+ "eval_loss": 0.6878782258247084,
70
+ "eval_runtime": 160.8804,
71
+ "eval_samples_per_second": 24.863,
72
+ "eval_steps_per_second": 0.392,
73
+ "step": 40
74
+ },
75
+ {
76
+ "epoch": 0.005,
77
+ "grad_norm": 1.7979084253311157,
78
+ "learning_rate": 2.5e-06,
79
+ "loss": 0.6795,
80
+ "step": 50
81
+ },
82
+ {
83
+ "epoch": 0.005,
84
+ "eval_cos_sim": 0.3181459903717041,
85
+ "eval_loss": 0.6827379918311781,
86
+ "eval_runtime": 159.4021,
87
+ "eval_samples_per_second": 25.094,
88
+ "eval_steps_per_second": 0.395,
89
+ "step": 50
90
+ },
91
+ {
92
+ "epoch": 0.006,
93
+ "grad_norm": 1.4049359560012817,
94
+ "learning_rate": 3e-06,
95
+ "loss": 0.6781,
96
+ "step": 60
97
+ },
98
+ {
99
+ "epoch": 0.006,
100
+ "eval_cos_sim": 0.32444360852241516,
101
+ "eval_loss": 0.6764405532096571,
102
+ "eval_runtime": 159.9515,
103
+ "eval_samples_per_second": 25.008,
104
+ "eval_steps_per_second": 0.394,
105
+ "step": 60
106
+ },
107
+ {
108
+ "epoch": 0.007,
109
+ "grad_norm": 1.7637789249420166,
110
+ "learning_rate": 3.5000000000000004e-06,
111
+ "loss": 0.6718,
112
+ "step": 70
113
+ },
114
+ {
115
+ "epoch": 0.007,
116
+ "eval_cos_sim": 0.331728994846344,
117
+ "eval_loss": 0.6691558842872327,
118
+ "eval_runtime": 160.8921,
119
+ "eval_samples_per_second": 24.861,
120
+ "eval_steps_per_second": 0.392,
121
+ "step": 70
122
+ },
123
+ {
124
+ "epoch": 0.008,
125
+ "grad_norm": 1.7560211420059204,
126
+ "learning_rate": 4.000000000000001e-06,
127
+ "loss": 0.6551,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.008,
132
+ "eval_cos_sim": 0.3400111794471741,
133
+ "eval_loss": 0.6608743510459608,
134
+ "eval_runtime": 172.4109,
135
+ "eval_samples_per_second": 23.2,
136
+ "eval_steps_per_second": 0.365,
137
+ "step": 80
138
+ },
139
+ {
140
+ "epoch": 0.009,
141
+ "grad_norm": 1.7577630281448364,
142
+ "learning_rate": 4.5e-06,
143
+ "loss": 0.6566,
144
+ "step": 90
145
+ },
146
+ {
147
+ "epoch": 0.009,
148
+ "eval_cos_sim": 0.34923624992370605,
149
+ "eval_loss": 0.6516506343101209,
150
+ "eval_runtime": 161.459,
151
+ "eval_samples_per_second": 24.774,
152
+ "eval_steps_per_second": 0.39,
153
+ "step": 90
154
+ },
155
+ {
156
+ "epoch": 0.01,
157
+ "grad_norm": 1.7723366022109985,
158
+ "learning_rate": 5e-06,
159
+ "loss": 0.6332,
160
+ "step": 100
161
+ },
162
+ {
163
+ "epoch": 0.01,
164
+ "eval_cos_sim": 0.35936808586120605,
165
+ "eval_loss": 0.6415200128768629,
166
+ "eval_runtime": 158.9596,
167
+ "eval_samples_per_second": 25.164,
168
+ "eval_steps_per_second": 0.396,
169
+ "step": 100
170
+ },
171
+ {
172
+ "epoch": 0.011,
173
+ "grad_norm": 1.7818301916122437,
174
+ "learning_rate": 5.500000000000001e-06,
175
+ "loss": 0.6297,
176
+ "step": 110
177
+ },
178
+ {
179
+ "epoch": 0.011,
180
+ "eval_cos_sim": 0.3702617287635803,
181
+ "eval_loss": 0.6306272282813734,
182
+ "eval_runtime": 161.4739,
183
+ "eval_samples_per_second": 24.772,
184
+ "eval_steps_per_second": 0.39,
185
+ "step": 110
186
+ },
187
+ {
188
+ "epoch": 0.012,
189
+ "grad_norm": 1.4825223684310913,
190
+ "learning_rate": 6e-06,
191
+ "loss": 0.6473,
192
+ "step": 120
193
+ },
194
+ {
195
+ "epoch": 0.012,
196
+ "eval_cos_sim": 0.381907194852829,
197
+ "eval_loss": 0.6189834599708265,
198
+ "eval_runtime": 162.0142,
199
+ "eval_samples_per_second": 24.689,
200
+ "eval_steps_per_second": 0.389,
201
+ "step": 120
202
+ },
203
+ {
204
+ "epoch": 0.013,
205
+ "grad_norm": 1.7424395084381104,
206
+ "learning_rate": 6.5000000000000004e-06,
207
+ "loss": 0.611,
208
+ "step": 130
209
+ },
210
+ {
211
+ "epoch": 0.013,
212
+ "eval_cos_sim": 0.3940889537334442,
213
+ "eval_loss": 0.6068024029945082,
214
+ "eval_runtime": 161.0467,
215
+ "eval_samples_per_second": 24.838,
216
+ "eval_steps_per_second": 0.391,
217
+ "step": 130
218
+ },
219
+ {
220
+ "epoch": 0.014,
221
+ "grad_norm": 1.7474108934402466,
222
+ "learning_rate": 7.000000000000001e-06,
223
+ "loss": 0.5932,
224
+ "step": 140
225
+ },
226
+ {
227
+ "epoch": 0.014,
228
+ "eval_cos_sim": 0.4073576033115387,
229
+ "eval_loss": 0.5935340962623304,
230
+ "eval_runtime": 161.0017,
231
+ "eval_samples_per_second": 24.844,
232
+ "eval_steps_per_second": 0.391,
233
+ "step": 140
234
+ },
235
+ {
236
+ "epoch": 0.015,
237
+ "grad_norm": 1.6058062314987183,
238
+ "learning_rate": 7.5e-06,
239
+ "loss": 0.5824,
240
+ "step": 150
241
+ },
242
+ {
243
+ "epoch": 0.015,
244
+ "eval_cos_sim": 0.42149588465690613,
245
+ "eval_loss": 0.5793958764289564,
246
+ "eval_runtime": 167.7429,
247
+ "eval_samples_per_second": 23.846,
248
+ "eval_steps_per_second": 0.376,
249
+ "step": 150
250
+ },
251
+ {
252
+ "epoch": 0.016,
253
+ "grad_norm": 1.5788137912750244,
254
+ "learning_rate": 8.000000000000001e-06,
255
+ "loss": 0.5634,
256
+ "step": 160
257
+ },
258
+ {
259
+ "epoch": 0.016,
260
+ "eval_cos_sim": 0.43618762493133545,
261
+ "eval_loss": 0.564703805944795,
262
+ "eval_runtime": 159.9946,
263
+ "eval_samples_per_second": 25.001,
264
+ "eval_steps_per_second": 0.394,
265
+ "step": 160
266
+ },
267
+ {
268
+ "epoch": 0.017,
269
+ "grad_norm": 1.6113280057907104,
270
+ "learning_rate": 8.500000000000002e-06,
271
+ "loss": 0.5519,
272
+ "step": 170
273
+ },
274
+ {
275
+ "epoch": 0.017,
276
+ "eval_cos_sim": 0.4508235454559326,
277
+ "eval_loss": 0.5500685830329604,
278
+ "eval_runtime": 157.8438,
279
+ "eval_samples_per_second": 25.342,
280
+ "eval_steps_per_second": 0.399,
281
+ "step": 170
282
+ },
283
+ {
284
+ "epoch": 0.018,
285
+ "grad_norm": 1.6156154870986938,
286
+ "learning_rate": 9e-06,
287
+ "loss": 0.5407,
288
+ "step": 180
289
+ },
290
+ {
291
+ "epoch": 0.018,
292
+ "eval_cos_sim": 0.46566617488861084,
293
+ "eval_loss": 0.5352267394279188,
294
+ "eval_runtime": 159.9444,
295
+ "eval_samples_per_second": 25.009,
296
+ "eval_steps_per_second": 0.394,
297
+ "step": 180
298
+ },
299
+ {
300
+ "epoch": 0.019,
301
+ "grad_norm": 1.5958607196807861,
302
+ "learning_rate": 9.5e-06,
303
+ "loss": 0.5117,
304
+ "step": 190
305
+ },
306
+ {
307
+ "epoch": 0.019,
308
+ "eval_cos_sim": 0.4806951582431793,
309
+ "eval_loss": 0.5202000065063185,
310
+ "eval_runtime": 157.8685,
311
+ "eval_samples_per_second": 25.338,
312
+ "eval_steps_per_second": 0.399,
313
+ "step": 190
314
+ },
315
+ {
316
+ "epoch": 0.02,
317
+ "grad_norm": 1.6012651920318604,
318
+ "learning_rate": 1e-05,
319
+ "loss": 0.5116,
320
+ "step": 200
321
+ },
322
+ {
323
+ "epoch": 0.02,
324
+ "eval_cos_sim": 0.49558621644973755,
325
+ "eval_loss": 0.5053114848350233,
326
+ "eval_runtime": 155.395,
327
+ "eval_samples_per_second": 25.741,
328
+ "eval_steps_per_second": 0.405,
329
+ "step": 200
330
+ },
331
+ {
332
+ "epoch": 0.021,
333
+ "grad_norm": 1.7965919971466064,
334
+ "learning_rate": 1.05e-05,
335
+ "loss": 0.4782,
336
+ "step": 210
337
+ },
338
+ {
339
+ "epoch": 0.021,
340
+ "eval_cos_sim": 0.5108910202980042,
341
+ "eval_loss": 0.49000780775296154,
342
+ "eval_runtime": 159.6303,
343
+ "eval_samples_per_second": 25.058,
344
+ "eval_steps_per_second": 0.395,
345
+ "step": 210
346
+ },
347
+ {
348
+ "epoch": 0.022,
349
+ "grad_norm": 1.791284441947937,
350
+ "learning_rate": 1.1000000000000001e-05,
351
+ "loss": 0.4802,
352
+ "step": 220
353
+ },
354
+ {
355
+ "epoch": 0.022,
356
+ "eval_cos_sim": 0.5271998643875122,
357
+ "eval_loss": 0.4737012028907484,
358
+ "eval_runtime": 169.963,
359
+ "eval_samples_per_second": 23.535,
360
+ "eval_steps_per_second": 0.371,
361
+ "step": 220
362
+ },
363
+ {
364
+ "epoch": 0.023,
365
+ "grad_norm": 1.7923716306686401,
366
+ "learning_rate": 1.1500000000000002e-05,
367
+ "loss": 0.4513,
368
+ "step": 230
369
+ },
370
+ {
371
+ "epoch": 0.023,
372
+ "eval_cos_sim": 0.5435076355934143,
373
+ "eval_loss": 0.45739728691327036,
374
+ "eval_runtime": 160.753,
375
+ "eval_samples_per_second": 24.883,
376
+ "eval_steps_per_second": 0.392,
377
+ "step": 230
378
+ },
379
+ {
380
+ "epoch": 0.024,
381
+ "grad_norm": 1.7997322082519531,
382
+ "learning_rate": 1.2e-05,
383
+ "loss": 0.4288,
384
+ "step": 240
385
+ },
386
+ {
387
+ "epoch": 0.024,
388
+ "eval_cos_sim": 0.5595658421516418,
389
+ "eval_loss": 0.44134216930615366,
390
+ "eval_runtime": 163.2069,
391
+ "eval_samples_per_second": 24.509,
392
+ "eval_steps_per_second": 0.386,
393
+ "step": 240
394
+ },
395
+ {
396
+ "epoch": 0.025,
397
+ "grad_norm": 1.7595293521881104,
398
+ "learning_rate": 1.25e-05,
399
+ "loss": 0.4365,
400
+ "step": 250
401
+ },
402
+ {
403
+ "epoch": 0.025,
404
+ "eval_cos_sim": 0.5746485590934753,
405
+ "eval_loss": 0.4262613997672743,
406
+ "eval_runtime": 160.8892,
407
+ "eval_samples_per_second": 24.862,
408
+ "eval_steps_per_second": 0.392,
409
+ "step": 250
410
+ },
411
+ {
412
+ "epoch": 0.026,
413
+ "grad_norm": 1.614985704421997,
414
+ "learning_rate": 1.3000000000000001e-05,
415
+ "loss": 0.4007,
416
+ "step": 260
417
+ },
418
+ {
419
+ "epoch": 0.026,
420
+ "eval_cos_sim": 0.5887113809585571,
421
+ "eval_loss": 0.4121987219070143,
422
+ "eval_runtime": 157.6029,
423
+ "eval_samples_per_second": 25.38,
424
+ "eval_steps_per_second": 0.4,
425
+ "step": 260
426
+ },
427
+ {
428
+ "epoch": 0.027,
429
+ "grad_norm": 1.6005358695983887,
430
+ "learning_rate": 1.3500000000000001e-05,
431
+ "loss": 0.4048,
432
+ "step": 270
433
+ },
434
+ {
435
+ "epoch": 0.027,
436
+ "eval_cos_sim": 0.6018706560134888,
437
+ "eval_loss": 0.39904179241406385,
438
+ "eval_runtime": 163.2521,
439
+ "eval_samples_per_second": 24.502,
440
+ "eval_steps_per_second": 0.386,
441
+ "step": 270
442
+ },
443
+ {
444
+ "epoch": 0.028,
445
+ "grad_norm": 1.7216198444366455,
446
+ "learning_rate": 1.4000000000000001e-05,
447
+ "loss": 0.3793,
448
+ "step": 280
449
+ },
450
+ {
451
+ "epoch": 0.028,
452
+ "eval_cos_sim": 0.6152481436729431,
453
+ "eval_loss": 0.385668321153993,
454
+ "eval_runtime": 163.9341,
455
+ "eval_samples_per_second": 24.4,
456
+ "eval_steps_per_second": 0.384,
457
+ "step": 280
458
+ },
459
+ {
460
+ "epoch": 0.029,
461
+ "grad_norm": 1.7449027299880981,
462
+ "learning_rate": 1.45e-05,
463
+ "loss": 0.3614,
464
+ "step": 290
465
+ },
466
+ {
467
+ "epoch": 0.029,
468
+ "eval_cos_sim": 0.6277655959129333,
469
+ "eval_loss": 0.3731525359367079,
470
+ "eval_runtime": 170.8176,
471
+ "eval_samples_per_second": 23.417,
472
+ "eval_steps_per_second": 0.369,
473
+ "step": 290
474
+ },
475
+ {
476
+ "epoch": 0.03,
477
+ "grad_norm": 1.5057954788208008,
478
+ "learning_rate": 1.5e-05,
479
+ "loss": 0.3557,
480
+ "step": 300
481
+ },
482
+ {
483
+ "epoch": 0.03,
484
+ "eval_cos_sim": 0.6390805244445801,
485
+ "eval_loss": 0.36183924534069956,
486
+ "eval_runtime": 160.3353,
487
+ "eval_samples_per_second": 24.948,
488
+ "eval_steps_per_second": 0.393,
489
+ "step": 300
490
+ },
491
+ {
492
+ "epoch": 0.031,
493
+ "grad_norm": 1.5245262384414673,
494
+ "learning_rate": 1.55e-05,
495
+ "loss": 0.3729,
496
+ "step": 310
497
+ },
498
+ {
499
+ "epoch": 0.031,
500
+ "eval_cos_sim": 0.6503457427024841,
501
+ "eval_loss": 0.3505764603828138,
502
+ "eval_runtime": 161.447,
503
+ "eval_samples_per_second": 24.776,
504
+ "eval_steps_per_second": 0.39,
505
+ "step": 310
506
+ },
507
+ {
508
+ "epoch": 0.032,
509
+ "grad_norm": 1.4508600234985352,
510
+ "learning_rate": 1.6000000000000003e-05,
511
+ "loss": 0.3476,
512
+ "step": 320
513
+ },
514
+ {
515
+ "epoch": 0.032,
516
+ "eval_cos_sim": 0.664078414440155,
517
+ "eval_loss": 0.33684703972088753,
518
+ "eval_runtime": 162.7312,
519
+ "eval_samples_per_second": 24.58,
520
+ "eval_steps_per_second": 0.387,
521
+ "step": 320
522
+ },
523
+ {
524
+ "epoch": 0.033,
525
+ "grad_norm": 1.545847773551941,
526
+ "learning_rate": 1.65e-05,
527
+ "loss": 0.3335,
528
+ "step": 330
529
+ },
530
+ {
531
+ "epoch": 0.033,
532
+ "eval_cos_sim": 0.6734265089035034,
533
+ "eval_loss": 0.32750138094174325,
534
+ "eval_runtime": 162.4883,
535
+ "eval_samples_per_second": 24.617,
536
+ "eval_steps_per_second": 0.388,
537
+ "step": 330
538
+ },
539
+ {
540
+ "epoch": 0.034,
541
+ "grad_norm": 1.5199618339538574,
542
+ "learning_rate": 1.7000000000000003e-05,
543
+ "loss": 0.3369,
544
+ "step": 340
545
+ },
546
+ {
547
+ "epoch": 0.034,
548
+ "eval_cos_sim": 0.6810038685798645,
549
+ "eval_loss": 0.31992570402371345,
550
+ "eval_runtime": 161.4031,
551
+ "eval_samples_per_second": 24.783,
552
+ "eval_steps_per_second": 0.39,
553
+ "step": 340
554
+ },
555
+ {
556
+ "epoch": 0.035,
557
+ "grad_norm": 1.2642650604248047,
558
+ "learning_rate": 1.75e-05,
559
+ "loss": 0.3396,
560
+ "step": 350
561
+ },
562
+ {
563
+ "epoch": 0.035,
564
+ "eval_cos_sim": 0.6911267638206482,
565
+ "eval_loss": 0.3098063874458021,
566
+ "eval_runtime": 165.9265,
567
+ "eval_samples_per_second": 24.107,
568
+ "eval_steps_per_second": 0.38,
569
+ "step": 350
570
+ },
571
+ {
572
+ "epoch": 0.036,
573
+ "grad_norm": 1.2891690731048584,
574
+ "learning_rate": 1.8e-05,
575
+ "loss": 0.3015,
576
+ "step": 360
577
+ },
578
+ {
579
+ "epoch": 0.036,
580
+ "eval_cos_sim": 0.6987318992614746,
581
+ "eval_loss": 0.3022033410285658,
582
+ "eval_runtime": 173.6837,
583
+ "eval_samples_per_second": 23.03,
584
+ "eval_steps_per_second": 0.363,
585
+ "step": 360
586
+ },
587
+ {
588
+ "epoch": 0.037,
589
+ "grad_norm": 1.2396866083145142,
590
+ "learning_rate": 1.85e-05,
591
+ "loss": 0.3077,
592
+ "step": 370
593
+ },
594
+ {
595
+ "epoch": 0.037,
596
+ "eval_cos_sim": 0.7082959413528442,
597
+ "eval_loss": 0.2926409912322706,
598
+ "eval_runtime": 158.0401,
599
+ "eval_samples_per_second": 25.31,
600
+ "eval_steps_per_second": 0.399,
601
+ "step": 370
602
+ },
603
+ {
604
+ "epoch": 0.038,
605
+ "grad_norm": 1.2055168151855469,
606
+ "learning_rate": 1.9e-05,
607
+ "loss": 0.2895,
608
+ "step": 380
609
+ },
610
+ {
611
+ "epoch": 0.038,
612
+ "eval_cos_sim": 0.7168179750442505,
613
+ "eval_loss": 0.284124677202577,
614
+ "eval_runtime": 160.1742,
615
+ "eval_samples_per_second": 24.973,
616
+ "eval_steps_per_second": 0.393,
617
+ "step": 380
618
+ },
619
+ {
620
+ "epoch": 0.039,
621
+ "grad_norm": 1.1191834211349487,
622
+ "learning_rate": 1.9500000000000003e-05,
623
+ "loss": 0.2944,
624
+ "step": 390
625
+ },
626
+ {
627
+ "epoch": 0.039,
628
+ "eval_cos_sim": 0.7234470248222351,
629
+ "eval_loss": 0.2775011363242811,
630
+ "eval_runtime": 165.4196,
631
+ "eval_samples_per_second": 24.181,
632
+ "eval_steps_per_second": 0.381,
633
+ "step": 390
634
+ },
635
+ {
636
+ "epoch": 0.04,
637
+ "grad_norm": 1.097105860710144,
638
+ "learning_rate": 2e-05,
639
+ "loss": 0.2898,
640
+ "step": 400
641
+ },
642
+ {
643
+ "epoch": 0.04,
644
+ "eval_cos_sim": 0.7314009666442871,
645
+ "eval_loss": 0.2695479884360975,
646
+ "eval_runtime": 159.5742,
647
+ "eval_samples_per_second": 25.067,
648
+ "eval_steps_per_second": 0.395,
649
+ "step": 400
650
+ },
651
+ {
652
+ "epoch": 0.041,
653
+ "grad_norm": 1.040711760520935,
654
+ "learning_rate": 2.05e-05,
655
+ "loss": 0.2573,
656
+ "step": 410
657
+ },
658
+ {
659
+ "epoch": 0.041,
660
+ "eval_cos_sim": 0.7389957904815674,
661
+ "eval_loss": 0.26195128538357676,
662
+ "eval_runtime": 160.3231,
663
+ "eval_samples_per_second": 24.95,
664
+ "eval_steps_per_second": 0.393,
665
+ "step": 410
666
+ },
667
+ {
668
+ "epoch": 0.042,
669
+ "grad_norm": 1.0322086811065674,
670
+ "learning_rate": 2.1e-05,
671
+ "loss": 0.241,
672
+ "step": 420
673
+ },
674
+ {
675
+ "epoch": 0.042,
676
+ "eval_cos_sim": 0.7471259236335754,
677
+ "eval_loss": 0.25382448627697884,
678
+ "eval_runtime": 161.5365,
679
+ "eval_samples_per_second": 24.762,
680
+ "eval_steps_per_second": 0.39,
681
+ "step": 420
682
+ },
683
+ {
684
+ "epoch": 0.043,
685
+ "grad_norm": 0.9718736410140991,
686
+ "learning_rate": 2.15e-05,
687
+ "loss": 0.26,
688
+ "step": 430
689
+ },
690
+ {
691
+ "epoch": 0.043,
692
+ "eval_cos_sim": 0.7534591555595398,
693
+ "eval_loss": 0.24748690702664317,
694
+ "eval_runtime": 169.2487,
695
+ "eval_samples_per_second": 23.634,
696
+ "eval_steps_per_second": 0.372,
697
+ "step": 430
698
+ },
699
+ {
700
+ "epoch": 0.044,
701
+ "grad_norm": 0.8780993223190308,
702
+ "learning_rate": 2.2000000000000003e-05,
703
+ "loss": 0.2255,
704
+ "step": 440
705
+ },
706
+ {
707
+ "epoch": 0.044,
708
+ "eval_cos_sim": 0.7604101896286011,
709
+ "eval_loss": 0.2405370173667616,
710
+ "eval_runtime": 161.7354,
711
+ "eval_samples_per_second": 24.732,
712
+ "eval_steps_per_second": 0.39,
713
+ "step": 440
714
+ },
715
+ {
716
+ "epoch": 0.045,
717
+ "grad_norm": 0.8193601369857788,
718
+ "learning_rate": 2.25e-05,
719
+ "loss": 0.2182,
720
+ "step": 450
721
+ },
722
+ {
723
+ "epoch": 0.045,
724
+ "eval_cos_sim": 0.7673761248588562,
725
+ "eval_loss": 0.2335676951621718,
726
+ "eval_runtime": 159.2952,
727
+ "eval_samples_per_second": 25.111,
728
+ "eval_steps_per_second": 0.395,
729
+ "step": 450
730
+ },
731
+ {
732
+ "epoch": 0.046,
733
+ "grad_norm": 0.8820355534553528,
734
+ "learning_rate": 2.3000000000000003e-05,
735
+ "loss": 0.2153,
736
+ "step": 460
737
+ },
738
+ {
739
+ "epoch": 0.046,
740
+ "eval_cos_sim": 0.7723870277404785,
741
+ "eval_loss": 0.228554349443788,
742
+ "eval_runtime": 161.8756,
743
+ "eval_samples_per_second": 24.71,
744
+ "eval_steps_per_second": 0.389,
745
+ "step": 460
746
+ },
747
+ {
748
+ "epoch": 0.047,
749
+ "grad_norm": 0.9045171141624451,
750
+ "learning_rate": 2.35e-05,
751
+ "loss": 0.2245,
752
+ "step": 470
753
+ },
754
+ {
755
+ "epoch": 0.047,
756
+ "eval_cos_sim": 0.7763780951499939,
757
+ "eval_loss": 0.22456564476239152,
758
+ "eval_runtime": 160.6855,
759
+ "eval_samples_per_second": 24.893,
760
+ "eval_steps_per_second": 0.392,
761
+ "step": 470
762
+ },
763
+ {
764
+ "epoch": 0.048,
765
+ "grad_norm": 0.7304402589797974,
766
+ "learning_rate": 2.4e-05,
767
+ "loss": 0.2069,
768
+ "step": 480
769
+ },
770
+ {
771
+ "epoch": 0.048,
772
+ "eval_cos_sim": 0.7830195426940918,
773
+ "eval_loss": 0.21792557956921524,
774
+ "eval_runtime": 162.6536,
775
+ "eval_samples_per_second": 24.592,
776
+ "eval_steps_per_second": 0.387,
777
+ "step": 480
778
+ },
779
+ {
780
+ "epoch": 0.049,
781
+ "grad_norm": 0.6550305485725403,
782
+ "learning_rate": 2.45e-05,
783
+ "loss": 0.2001,
784
+ "step": 490
785
+ },
786
+ {
787
+ "epoch": 0.049,
788
+ "eval_cos_sim": 0.7868452072143555,
789
+ "eval_loss": 0.21410264875637955,
790
+ "eval_runtime": 163.12,
791
+ "eval_samples_per_second": 24.522,
792
+ "eval_steps_per_second": 0.386,
793
+ "step": 490
794
+ },
795
+ {
796
+ "epoch": 0.05,
797
+ "grad_norm": 0.6369508504867554,
798
+ "learning_rate": 2.5e-05,
799
+ "loss": 0.1935,
800
+ "step": 500
801
+ },
802
+ {
803
+ "epoch": 0.05,
804
+ "eval_cos_sim": 0.7914958596229553,
805
+ "eval_loss": 0.2094592919563002,
806
+ "eval_runtime": 164.3494,
807
+ "eval_samples_per_second": 24.338,
808
+ "eval_steps_per_second": 0.383,
809
+ "step": 500
810
+ },
811
+ {
812
+ "epoch": 0.051,
813
+ "grad_norm": 0.6336702108383179,
814
+ "learning_rate": 2.5500000000000003e-05,
815
+ "loss": 0.2018,
816
+ "step": 510
817
+ },
818
+ {
819
+ "epoch": 0.051,
820
+ "eval_cos_sim": 0.7958762645721436,
821
+ "eval_loss": 0.20508341314541764,
822
+ "eval_runtime": 163.0667,
823
+ "eval_samples_per_second": 24.53,
824
+ "eval_steps_per_second": 0.386,
825
+ "step": 510
826
+ },
827
+ {
828
+ "epoch": 0.052,
829
+ "grad_norm": 0.585249125957489,
830
+ "learning_rate": 2.6000000000000002e-05,
831
+ "loss": 0.1854,
832
+ "step": 520
833
+ },
834
+ {
835
+ "epoch": 0.052,
836
+ "eval_cos_sim": 0.7985916137695312,
837
+ "eval_loss": 0.20236765434491105,
838
+ "eval_runtime": 161.7682,
839
+ "eval_samples_per_second": 24.727,
840
+ "eval_steps_per_second": 0.389,
841
+ "step": 520
842
+ },
843
+ {
844
+ "epoch": 0.053,
845
+ "grad_norm": 0.5437793731689453,
846
+ "learning_rate": 2.6500000000000004e-05,
847
+ "loss": 0.1795,
848
+ "step": 530
849
+ },
850
+ {
851
+ "epoch": 0.053,
852
+ "eval_cos_sim": 0.8020971417427063,
853
+ "eval_loss": 0.19886508896099991,
854
+ "eval_runtime": 164.1233,
855
+ "eval_samples_per_second": 24.372,
856
+ "eval_steps_per_second": 0.384,
857
+ "step": 530
858
+ },
859
+ {
860
+ "epoch": 0.054,
861
+ "grad_norm": 0.6123674511909485,
862
+ "learning_rate": 2.7000000000000002e-05,
863
+ "loss": 0.1807,
864
+ "step": 540
865
+ },
866
+ {
867
+ "epoch": 0.054,
868
+ "eval_cos_sim": 0.8049777150154114,
869
+ "eval_loss": 0.19599416496502822,
870
+ "eval_runtime": 163.7538,
871
+ "eval_samples_per_second": 24.427,
872
+ "eval_steps_per_second": 0.385,
873
+ "step": 540
874
+ },
875
+ {
876
+ "epoch": 0.055,
877
+ "grad_norm": 0.5047230124473572,
878
+ "learning_rate": 2.7500000000000004e-05,
879
+ "loss": 0.1769,
880
+ "step": 550
881
+ },
882
+ {
883
+ "epoch": 0.055,
884
+ "eval_cos_sim": 0.8080028295516968,
885
+ "eval_loss": 0.19296009018170304,
886
+ "eval_runtime": 158.2319,
887
+ "eval_samples_per_second": 25.279,
888
+ "eval_steps_per_second": 0.398,
889
+ "step": 550
890
+ },
891
+ {
892
+ "epoch": 0.056,
893
+ "grad_norm": 0.4361515939235687,
894
+ "learning_rate": 2.8000000000000003e-05,
895
+ "loss": 0.1783,
896
+ "step": 560
897
+ },
898
+ {
899
+ "epoch": 0.056,
900
+ "eval_cos_sim": 0.8107978701591492,
901
+ "eval_loss": 0.19017480518567031,
902
+ "eval_runtime": 164.6869,
903
+ "eval_samples_per_second": 24.289,
904
+ "eval_steps_per_second": 0.383,
905
+ "step": 560
906
+ },
907
+ {
908
+ "epoch": 0.057,
909
+ "grad_norm": 0.4613172113895416,
910
+ "learning_rate": 2.8499999999999998e-05,
911
+ "loss": 0.1714,
912
+ "step": 570
913
+ },
914
+ {
915
+ "epoch": 0.057,
916
+ "eval_cos_sim": 0.8138161301612854,
917
+ "eval_loss": 0.18716797020184464,
918
+ "eval_runtime": 167.1324,
919
+ "eval_samples_per_second": 23.933,
920
+ "eval_steps_per_second": 0.377,
921
+ "step": 570
922
+ },
923
+ {
924
+ "epoch": 0.058,
925
+ "grad_norm": 0.4287095069885254,
926
+ "learning_rate": 2.9e-05,
927
+ "loss": 0.1633,
928
+ "step": 580
929
+ },
930
+ {
931
+ "epoch": 0.058,
932
+ "eval_cos_sim": 0.8161399364471436,
933
+ "eval_loss": 0.1848432316993422,
934
+ "eval_runtime": 160.6945,
935
+ "eval_samples_per_second": 24.892,
936
+ "eval_steps_per_second": 0.392,
937
+ "step": 580
938
+ },
939
+ {
940
+ "epoch": 0.059,
941
+ "grad_norm": 0.442719429731369,
942
+ "learning_rate": 2.95e-05,
943
+ "loss": 0.1643,
944
+ "step": 590
945
+ },
946
+ {
947
+ "epoch": 0.059,
948
+ "eval_cos_sim": 0.8180400133132935,
949
+ "eval_loss": 0.1829425740455336,
950
+ "eval_runtime": 163.6004,
951
+ "eval_samples_per_second": 24.45,
952
+ "eval_steps_per_second": 0.385,
953
+ "step": 590
954
+ },
955
+ {
956
+ "epoch": 0.06,
957
+ "grad_norm": 0.38597649335861206,
958
+ "learning_rate": 3e-05,
959
+ "loss": 0.1645,
960
+ "step": 600
961
+ },
962
+ {
963
+ "epoch": 0.06,
964
+ "eval_cos_sim": 0.8204721808433533,
965
+ "eval_loss": 0.1805112529014296,
966
+ "eval_runtime": 158.8011,
967
+ "eval_samples_per_second": 25.189,
968
+ "eval_steps_per_second": 0.397,
969
+ "step": 600
970
+ },
971
+ {
972
+ "epoch": 0.061,
973
+ "grad_norm": 0.40187621116638184,
974
+ "learning_rate": 3.05e-05,
975
+ "loss": 0.1632,
976
+ "step": 610
977
+ },
978
+ {
979
+ "epoch": 0.061,
980
+ "eval_cos_sim": 0.8225390911102295,
981
+ "eval_loss": 0.17843791820752097,
982
+ "eval_runtime": 164.1328,
983
+ "eval_samples_per_second": 24.371,
984
+ "eval_steps_per_second": 0.384,
985
+ "step": 610
986
+ },
987
+ {
988
+ "epoch": 0.062,
989
+ "grad_norm": 0.36652931571006775,
990
+ "learning_rate": 3.1e-05,
991
+ "loss": 0.1587,
992
+ "step": 620
993
+ },
994
+ {
995
+ "epoch": 0.062,
996
+ "eval_cos_sim": 0.8244653344154358,
997
+ "eval_loss": 0.17650788643109275,
998
+ "eval_runtime": 160.7137,
999
+ "eval_samples_per_second": 24.889,
1000
+ "eval_steps_per_second": 0.392,
1001
+ "step": 620
1002
+ },
1003
+ {
1004
+ "epoch": 0.063,
1005
+ "grad_norm": 0.39730513095855713,
1006
+ "learning_rate": 3.15e-05,
1007
+ "loss": 0.164,
1008
+ "step": 630
1009
+ },
1010
+ {
1011
+ "epoch": 0.063,
1012
+ "eval_cos_sim": 0.8262067437171936,
1013
+ "eval_loss": 0.17477095749127342,
1014
+ "eval_runtime": 165.8251,
1015
+ "eval_samples_per_second": 24.122,
1016
+ "eval_steps_per_second": 0.38,
1017
+ "step": 630
1018
+ },
1019
+ {
1020
+ "epoch": 0.064,
1021
+ "grad_norm": 0.37115684151649475,
1022
+ "learning_rate": 3.2000000000000005e-05,
1023
+ "loss": 0.1562,
1024
+ "step": 640
1025
+ },
1026
+ {
1027
+ "epoch": 0.064,
1028
+ "eval_cos_sim": 0.8285937905311584,
1029
+ "eval_loss": 0.17237986900555563,
1030
+ "eval_runtime": 166.1474,
1031
+ "eval_samples_per_second": 24.075,
1032
+ "eval_steps_per_second": 0.379,
1033
+ "step": 640
1034
+ },
1035
+ {
1036
+ "epoch": 0.065,
1037
+ "grad_norm": 0.3438771367073059,
1038
+ "learning_rate": 3.2500000000000004e-05,
1039
+ "loss": 0.1628,
1040
+ "step": 650
1041
+ },
1042
+ {
1043
+ "epoch": 0.065,
1044
+ "eval_cos_sim": 0.8305408358573914,
1045
+ "eval_loss": 0.17043518688427878,
1046
+ "eval_runtime": 156.9198,
1047
+ "eval_samples_per_second": 25.491,
1048
+ "eval_steps_per_second": 0.401,
1049
+ "step": 650
1050
+ },
1051
+ {
1052
+ "epoch": 0.066,
1053
+ "grad_norm": 0.445515513420105,
1054
+ "learning_rate": 3.3e-05,
1055
+ "loss": 0.1588,
1056
+ "step": 660
1057
+ },
1058
+ {
1059
+ "epoch": 0.066,
1060
+ "eval_cos_sim": 0.8313919305801392,
1061
+ "eval_loss": 0.1695925650809951,
1062
+ "eval_runtime": 160.5009,
1063
+ "eval_samples_per_second": 24.922,
1064
+ "eval_steps_per_second": 0.393,
1065
+ "step": 660
1066
+ },
1067
+ {
1068
+ "epoch": 0.067,
1069
+ "grad_norm": 0.30833250284194946,
1070
+ "learning_rate": 3.35e-05,
1071
+ "loss": 0.1597,
1072
+ "step": 670
1073
+ },
1074
+ {
1075
+ "epoch": 0.067,
1076
+ "eval_cos_sim": 0.8327498435974121,
1077
+ "eval_loss": 0.16823711063610983,
1078
+ "eval_runtime": 163.7947,
1079
+ "eval_samples_per_second": 24.421,
1080
+ "eval_steps_per_second": 0.385,
1081
+ "step": 670
1082
+ },
1083
+ {
1084
+ "epoch": 0.068,
1085
+ "grad_norm": 0.30146872997283936,
1086
+ "learning_rate": 3.4000000000000007e-05,
1087
+ "loss": 0.1521,
1088
+ "step": 680
1089
+ },
1090
+ {
1091
+ "epoch": 0.068,
1092
+ "eval_cos_sim": 0.8345705270767212,
1093
+ "eval_loss": 0.16642027666317893,
1094
+ "eval_runtime": 163.0767,
1095
+ "eval_samples_per_second": 24.528,
1096
+ "eval_steps_per_second": 0.386,
1097
+ "step": 680
1098
+ },
1099
+ {
1100
+ "epoch": 0.069,
1101
+ "grad_norm": 0.3060350716114044,
1102
+ "learning_rate": 3.45e-05,
1103
+ "loss": 0.1499,
1104
+ "step": 690
1105
+ },
1106
+ {
1107
+ "epoch": 0.069,
1108
+ "eval_cos_sim": 0.8357890844345093,
1109
+ "eval_loss": 0.16520177223431537,
1110
+ "eval_runtime": 161.8292,
1111
+ "eval_samples_per_second": 24.717,
1112
+ "eval_steps_per_second": 0.389,
1113
+ "step": 690
1114
+ },
1115
+ {
1116
+ "epoch": 0.07,
1117
+ "grad_norm": 0.25746750831604004,
1118
+ "learning_rate": 3.5e-05,
1119
+ "loss": 0.1494,
1120
+ "step": 700
1121
+ },
1122
+ {
1123
+ "epoch": 0.07,
1124
+ "eval_cos_sim": 0.8371787071228027,
1125
+ "eval_loss": 0.16381443121182396,
1126
+ "eval_runtime": 171.1282,
1127
+ "eval_samples_per_second": 23.374,
1128
+ "eval_steps_per_second": 0.368,
1129
+ "step": 700
1130
+ },
1131
+ {
1132
+ "epoch": 0.071,
1133
+ "grad_norm": 0.27807655930519104,
1134
+ "learning_rate": 3.55e-05,
1135
+ "loss": 0.1503,
1136
+ "step": 710
1137
+ },
1138
+ {
1139
+ "epoch": 0.071,
1140
+ "eval_cos_sim": 0.8385919332504272,
1141
+ "eval_loss": 0.16239957573162986,
1142
+ "eval_runtime": 173.6991,
1143
+ "eval_samples_per_second": 23.028,
1144
+ "eval_steps_per_second": 0.363,
1145
+ "step": 710
1146
+ },
1147
+ {
1148
+ "epoch": 0.072,
1149
+ "grad_norm": 0.2822527587413788,
1150
+ "learning_rate": 3.6e-05,
1151
+ "loss": 0.1596,
1152
+ "step": 720
1153
+ },
1154
+ {
1155
+ "epoch": 0.072,
1156
+ "eval_cos_sim": 0.8399993777275085,
1157
+ "eval_loss": 0.16099353077160786,
1158
+ "eval_runtime": 166.2107,
1159
+ "eval_samples_per_second": 24.066,
1160
+ "eval_steps_per_second": 0.379,
1161
+ "step": 720
1162
+ },
1163
+ {
1164
+ "epoch": 0.073,
1165
+ "grad_norm": 0.3689976632595062,
1166
+ "learning_rate": 3.65e-05,
1167
+ "loss": 0.1522,
1168
+ "step": 730
1169
+ },
1170
+ {
1171
+ "epoch": 0.073,
1172
+ "eval_cos_sim": 0.8407827615737915,
1173
+ "eval_loss": 0.16021420147168108,
1174
+ "eval_runtime": 163.1982,
1175
+ "eval_samples_per_second": 24.51,
1176
+ "eval_steps_per_second": 0.386,
1177
+ "step": 730
1178
+ },
1179
+ {
1180
+ "epoch": 0.074,
1181
+ "grad_norm": 0.24420756101608276,
1182
+ "learning_rate": 3.7e-05,
1183
+ "loss": 0.1464,
1184
+ "step": 740
1185
+ },
1186
+ {
1187
+ "epoch": 0.074,
1188
+ "eval_cos_sim": 0.8423337936401367,
1189
+ "eval_loss": 0.15866206934201188,
1190
+ "eval_runtime": 162.3325,
1191
+ "eval_samples_per_second": 24.641,
1192
+ "eval_steps_per_second": 0.388,
1193
+ "step": 740
1194
+ },
1195
+ {
1196
+ "epoch": 0.075,
1197
+ "grad_norm": 0.2716599404811859,
1198
+ "learning_rate": 3.7500000000000003e-05,
1199
+ "loss": 0.1458,
1200
+ "step": 750
1201
+ },
1202
+ {
1203
+ "epoch": 0.075,
1204
+ "eval_cos_sim": 0.8430612683296204,
1205
+ "eval_loss": 0.157932794592256,
1206
+ "eval_runtime": 163.6706,
1207
+ "eval_samples_per_second": 24.439,
1208
+ "eval_steps_per_second": 0.385,
1209
+ "step": 750
1210
+ },
1211
+ {
1212
+ "epoch": 0.076,
1213
+ "grad_norm": 0.27678823471069336,
1214
+ "learning_rate": 3.8e-05,
1215
+ "loss": 0.1446,
1216
+ "step": 760
1217
+ },
1218
+ {
1219
+ "epoch": 0.076,
1220
+ "eval_cos_sim": 0.8438640236854553,
1221
+ "eval_loss": 0.15713081218945452,
1222
+ "eval_runtime": 159.6959,
1223
+ "eval_samples_per_second": 25.048,
1224
+ "eval_steps_per_second": 0.394,
1225
+ "step": 760
1226
+ },
1227
+ {
1228
+ "epoch": 0.077,
1229
+ "grad_norm": 0.23866839706897736,
1230
+ "learning_rate": 3.85e-05,
1231
+ "loss": 0.1487,
1232
+ "step": 770
1233
+ },
1234
+ {
1235
+ "epoch": 0.077,
1236
+ "eval_cos_sim": 0.8451653718948364,
1237
+ "eval_loss": 0.15582896663891738,
1238
+ "eval_runtime": 170.448,
1239
+ "eval_samples_per_second": 23.468,
1240
+ "eval_steps_per_second": 0.37,
1241
+ "step": 770
1242
+ },
1243
+ {
1244
+ "epoch": 0.078,
1245
+ "grad_norm": 0.24985139071941376,
1246
+ "learning_rate": 3.9000000000000006e-05,
1247
+ "loss": 0.143,
1248
+ "step": 780
1249
+ },
1250
+ {
1251
+ "epoch": 0.078,
1252
+ "eval_cos_sim": 0.8460158705711365,
1253
+ "eval_loss": 0.15497446682202284,
1254
+ "eval_runtime": 168.3573,
1255
+ "eval_samples_per_second": 23.759,
1256
+ "eval_steps_per_second": 0.374,
1257
+ "step": 780
1258
+ },
1259
+ {
1260
+ "epoch": 0.079,
1261
+ "grad_norm": 0.2435818761587143,
1262
+ "learning_rate": 3.9500000000000005e-05,
1263
+ "loss": 0.1464,
1264
+ "step": 790
1265
+ },
1266
+ {
1267
+ "epoch": 0.079,
1268
+ "eval_cos_sim": 0.8470072150230408,
1269
+ "eval_loss": 0.15398560383068982,
1270
+ "eval_runtime": 163.7823,
1271
+ "eval_samples_per_second": 24.423,
1272
+ "eval_steps_per_second": 0.385,
1273
+ "step": 790
1274
+ },
1275
+ {
1276
+ "epoch": 0.08,
1277
+ "grad_norm": 0.25132063031196594,
1278
+ "learning_rate": 4e-05,
1279
+ "loss": 0.1463,
1280
+ "step": 800
1281
+ },
1282
+ {
1283
+ "epoch": 0.08,
1284
+ "eval_cos_sim": 0.8480408191680908,
1285
+ "eval_loss": 0.15294421245800913,
1286
+ "eval_runtime": 160.63,
1287
+ "eval_samples_per_second": 24.902,
1288
+ "eval_steps_per_second": 0.392,
1289
+ "step": 800
1290
+ },
1291
+ {
1292
+ "epoch": 0.081,
1293
+ "grad_norm": 0.22080835700035095,
1294
+ "learning_rate": 4.05e-05,
1295
+ "loss": 0.1449,
1296
+ "step": 810
1297
+ },
1298
+ {
1299
+ "epoch": 0.081,
1300
+ "eval_cos_sim": 0.8484798669815063,
1301
+ "eval_loss": 0.15251411964642467,
1302
+ "eval_runtime": 165.2445,
1303
+ "eval_samples_per_second": 24.207,
1304
+ "eval_steps_per_second": 0.381,
1305
+ "step": 810
1306
+ },
1307
+ {
1308
+ "epoch": 0.082,
1309
+ "grad_norm": 0.21103359758853912,
1310
+ "learning_rate": 4.1e-05,
1311
+ "loss": 0.1425,
1312
+ "step": 820
1313
+ },
1314
+ {
1315
+ "epoch": 0.082,
1316
+ "eval_cos_sim": 0.8491047024726868,
1317
+ "eval_loss": 0.15190097334134042,
1318
+ "eval_runtime": 165.2932,
1319
+ "eval_samples_per_second": 24.199,
1320
+ "eval_steps_per_second": 0.381,
1321
+ "step": 820
1322
+ },
1323
+ {
1324
+ "epoch": 0.083,
1325
+ "grad_norm": 0.4737427234649658,
1326
+ "learning_rate": 4.15e-05,
1327
+ "loss": 0.1451,
1328
+ "step": 830
1329
+ },
1330
+ {
1331
+ "epoch": 0.083,
1332
+ "eval_cos_sim": 0.8501515984535217,
1333
+ "eval_loss": 0.15085182239758432,
1334
+ "eval_runtime": 164.4705,
1335
+ "eval_samples_per_second": 24.32,
1336
+ "eval_steps_per_second": 0.383,
1337
+ "step": 830
1338
+ },
1339
+ {
1340
+ "epoch": 0.084,
1341
+ "grad_norm": 0.19636596739292145,
1342
+ "learning_rate": 4.2e-05,
1343
+ "loss": 0.139,
1344
+ "step": 840
1345
+ },
1346
+ {
1347
+ "epoch": 0.084,
1348
+ "eval_cos_sim": 0.8513444066047668,
1349
+ "eval_loss": 0.14965240146862924,
1350
+ "eval_runtime": 168.3369,
1351
+ "eval_samples_per_second": 23.762,
1352
+ "eval_steps_per_second": 0.374,
1353
+ "step": 840
1354
+ },
1355
+ {
1356
+ "epoch": 0.085,
1357
+ "grad_norm": 0.22018375992774963,
1358
+ "learning_rate": 4.25e-05,
1359
+ "loss": 0.139,
1360
+ "step": 850
1361
+ },
1362
+ {
1363
+ "epoch": 0.085,
1364
+ "eval_cos_sim": 0.8519036769866943,
1365
+ "eval_loss": 0.14909614183651865,
1366
+ "eval_runtime": 170.0334,
1367
+ "eval_samples_per_second": 23.525,
1368
+ "eval_steps_per_second": 0.371,
1369
+ "step": 850
1370
+ },
1371
+ {
1372
+ "epoch": 0.086,
1373
+ "grad_norm": 0.21147912740707397,
1374
+ "learning_rate": 4.3e-05,
1375
+ "loss": 0.1383,
1376
+ "step": 860
1377
+ },
1378
+ {
1379
+ "epoch": 0.086,
1380
+ "eval_cos_sim": 0.8522551655769348,
1381
+ "eval_loss": 0.14874456455456675,
1382
+ "eval_runtime": 160.1434,
1383
+ "eval_samples_per_second": 24.978,
1384
+ "eval_steps_per_second": 0.393,
1385
+ "step": 860
1386
+ },
1387
+ {
1388
+ "epoch": 0.087,
1389
+ "grad_norm": 0.20831769704818726,
1390
+ "learning_rate": 4.35e-05,
1391
+ "loss": 0.1386,
1392
+ "step": 870
1393
+ },
1394
+ {
1395
+ "epoch": 0.087,
1396
+ "eval_cos_sim": 0.8532180786132812,
1397
+ "eval_loss": 0.1477800307487196,
1398
+ "eval_runtime": 170.3934,
1399
+ "eval_samples_per_second": 23.475,
1400
+ "eval_steps_per_second": 0.37,
1401
+ "step": 870
1402
+ },
1403
+ {
1404
+ "epoch": 0.088,
1405
+ "grad_norm": 0.3051137328147888,
1406
+ "learning_rate": 4.4000000000000006e-05,
1407
+ "loss": 0.141,
1408
+ "step": 880
1409
+ },
1410
+ {
1411
+ "epoch": 0.088,
1412
+ "eval_cos_sim": 0.8542919754981995,
1413
+ "eval_loss": 0.14670453121411264,
1414
+ "eval_runtime": 165.3769,
1415
+ "eval_samples_per_second": 24.187,
1416
+ "eval_steps_per_second": 0.381,
1417
+ "step": 880
1418
+ },
1419
+ {
1420
+ "epoch": 0.089,
1421
+ "grad_norm": 0.19627386331558228,
1422
+ "learning_rate": 4.4500000000000004e-05,
1423
+ "loss": 0.1423,
1424
+ "step": 890
1425
+ },
1426
+ {
1427
+ "epoch": 0.089,
1428
+ "eval_cos_sim": 0.8539001941680908,
1429
+ "eval_loss": 0.1470875745032972,
1430
+ "eval_runtime": 163.4789,
1431
+ "eval_samples_per_second": 24.468,
1432
+ "eval_steps_per_second": 0.385,
1433
+ "step": 890
1434
+ },
1435
+ {
1436
+ "epoch": 0.09,
1437
+ "grad_norm": 0.1867413967847824,
1438
+ "learning_rate": 4.5e-05,
1439
+ "loss": 0.1371,
1440
+ "step": 900
1441
+ },
1442
+ {
1443
+ "epoch": 0.09,
1444
+ "eval_cos_sim": 0.8544667959213257,
1445
+ "eval_loss": 0.1465196500037855,
1446
+ "eval_runtime": 159.8165,
1447
+ "eval_samples_per_second": 25.029,
1448
+ "eval_steps_per_second": 0.394,
1449
+ "step": 900
1450
+ },
1451
+ {
1452
+ "epoch": 0.091,
1453
+ "grad_norm": 0.21700890362262726,
1454
+ "learning_rate": 4.55e-05,
1455
+ "loss": 0.1405,
1456
+ "step": 910
1457
+ },
1458
+ {
1459
+ "epoch": 0.091,
1460
+ "eval_cos_sim": 0.8560004234313965,
1461
+ "eval_loss": 0.14498550846325817,
1462
+ "eval_runtime": 166.8423,
1463
+ "eval_samples_per_second": 23.975,
1464
+ "eval_steps_per_second": 0.378,
1465
+ "step": 910
1466
+ },
1467
+ {
1468
+ "epoch": 0.092,
1469
+ "grad_norm": 0.17160160839557648,
1470
+ "learning_rate": 4.600000000000001e-05,
1471
+ "loss": 0.1387,
1472
+ "step": 920
1473
+ },
1474
+ {
1475
+ "epoch": 0.092,
1476
+ "eval_cos_sim": 0.8561151623725891,
1477
+ "eval_loss": 0.14487657501446666,
1478
+ "eval_runtime": 166.4947,
1479
+ "eval_samples_per_second": 24.025,
1480
+ "eval_steps_per_second": 0.378,
1481
+ "step": 920
1482
+ },
1483
+ {
1484
+ "epoch": 0.093,
1485
+ "grad_norm": 0.18101643025875092,
1486
+ "learning_rate": 4.6500000000000005e-05,
1487
+ "loss": 0.1362,
1488
+ "step": 930
1489
+ },
1490
+ {
1491
+ "epoch": 0.093,
1492
+ "eval_cos_sim": 0.8565106987953186,
1493
+ "eval_loss": 0.1444753079627699,
1494
+ "eval_runtime": 162.5163,
1495
+ "eval_samples_per_second": 24.613,
1496
+ "eval_steps_per_second": 0.388,
1497
+ "step": 930
1498
+ },
1499
+ {
1500
+ "epoch": 0.094,
1501
+ "grad_norm": 0.1913219839334488,
1502
+ "learning_rate": 4.7e-05,
1503
+ "loss": 0.137,
1504
+ "step": 940
1505
+ },
1506
+ {
1507
+ "epoch": 0.094,
1508
+ "eval_cos_sim": 0.8572973608970642,
1509
+ "eval_loss": 0.14369207908856332,
1510
+ "eval_runtime": 159.6717,
1511
+ "eval_samples_per_second": 25.051,
1512
+ "eval_steps_per_second": 0.395,
1513
+ "step": 940
1514
+ },
1515
+ {
1516
+ "epoch": 0.095,
1517
+ "grad_norm": 0.18858781456947327,
1518
+ "learning_rate": 4.75e-05,
1519
+ "loss": 0.1365,
1520
+ "step": 950
1521
+ },
1522
+ {
1523
+ "epoch": 0.095,
1524
+ "eval_cos_sim": 0.8581430912017822,
1525
+ "eval_loss": 0.1428443865989393,
1526
+ "eval_runtime": 160.8669,
1527
+ "eval_samples_per_second": 24.865,
1528
+ "eval_steps_per_second": 0.392,
1529
+ "step": 950
1530
+ },
1531
+ {
1532
+ "epoch": 0.096,
1533
+ "grad_norm": 0.1602417230606079,
1534
+ "learning_rate": 4.8e-05,
1535
+ "loss": 0.1353,
1536
+ "step": 960
1537
+ },
1538
+ {
1539
+ "epoch": 0.096,
1540
+ "eval_cos_sim": 0.8581015467643738,
1541
+ "eval_loss": 0.14288127615200938,
1542
+ "eval_runtime": 164.3422,
1543
+ "eval_samples_per_second": 24.339,
1544
+ "eval_steps_per_second": 0.383,
1545
+ "step": 960
1546
+ },
1547
+ {
1548
+ "epoch": 0.097,
1549
+ "grad_norm": 0.1659657508134842,
1550
+ "learning_rate": 4.85e-05,
1551
+ "loss": 0.1347,
1552
+ "step": 970
1553
+ },
1554
+ {
1555
+ "epoch": 0.097,
1556
+ "eval_cos_sim": 0.8594202399253845,
1557
+ "eval_loss": 0.14155777981030407,
1558
+ "eval_runtime": 167.1461,
1559
+ "eval_samples_per_second": 23.931,
1560
+ "eval_steps_per_second": 0.377,
1561
+ "step": 970
1562
+ },
1563
+ {
1564
+ "epoch": 0.098,
1565
+ "grad_norm": 0.21223703026771545,
1566
+ "learning_rate": 4.9e-05,
1567
+ "loss": 0.138,
1568
+ "step": 980
1569
+ },
1570
+ {
1571
+ "epoch": 0.098,
1572
+ "eval_cos_sim": 0.8584538698196411,
1573
+ "eval_loss": 0.14252794553982676,
1574
+ "eval_runtime": 167.1973,
1575
+ "eval_samples_per_second": 23.924,
1576
+ "eval_steps_per_second": 0.377,
1577
+ "step": 980
1578
+ },
1579
+ {
1580
+ "epoch": 0.099,
1581
+ "grad_norm": 0.15602050721645355,
1582
+ "learning_rate": 4.9500000000000004e-05,
1583
+ "loss": 0.1392,
1584
+ "step": 990
1585
+ },
1586
+ {
1587
+ "epoch": 0.099,
1588
+ "eval_cos_sim": 0.859849750995636,
1589
+ "eval_loss": 0.141124472162599,
1590
+ "eval_runtime": 168.2536,
1591
+ "eval_samples_per_second": 23.774,
1592
+ "eval_steps_per_second": 0.374,
1593
+ "step": 990
1594
+ },
1595
+ {
1596
+ "epoch": 0.1,
1597
+ "grad_norm": 0.1410510390996933,
1598
+ "learning_rate": 5e-05,
1599
+ "loss": 0.1359,
1600
+ "step": 1000
1601
+ },
1602
+ {
1603
+ "epoch": 0.1,
1604
+ "eval_cos_sim": 0.8603095412254333,
1605
+ "eval_loss": 0.14066851665722788,
1606
+ "eval_runtime": 162.5936,
1607
+ "eval_samples_per_second": 24.601,
1608
+ "eval_steps_per_second": 0.387,
1609
+ "step": 1000
1610
+ },
1611
+ {
1612
+ "epoch": 0.101,
1613
+ "grad_norm": 0.15686458349227905,
1614
+ "learning_rate": 4.999984769144476e-05,
1615
+ "loss": 0.1354,
1616
+ "step": 1010
1617
+ },
1618
+ {
1619
+ "epoch": 0.101,
1620
+ "eval_cos_sim": 0.8605126142501831,
1621
+ "eval_loss": 0.14045782043682994,
1622
+ "eval_runtime": 164.632,
1623
+ "eval_samples_per_second": 24.297,
1624
+ "eval_steps_per_second": 0.383,
1625
+ "step": 1010
1626
+ },
1627
+ {
1628
+ "epoch": 0.102,
1629
+ "grad_norm": 0.1402912735939026,
1630
+ "learning_rate": 4.999939076763487e-05,
1631
+ "loss": 0.1333,
1632
+ "step": 1020
1633
+ },
1634
+ {
1635
+ "epoch": 0.102,
1636
+ "eval_cos_sim": 0.8615362644195557,
1637
+ "eval_loss": 0.1394294276450819,
1638
+ "eval_runtime": 165.0933,
1639
+ "eval_samples_per_second": 24.229,
1640
+ "eval_steps_per_second": 0.382,
1641
+ "step": 1020
1642
+ },
1643
+ {
1644
+ "epoch": 0.103,
1645
+ "grad_norm": 0.14782707393169403,
1646
+ "learning_rate": 4.999862923413781e-05,
1647
+ "loss": 0.1354,
1648
+ "step": 1030
1649
+ },
1650
+ {
1651
+ "epoch": 0.103,
1652
+ "eval_cos_sim": 0.8612933158874512,
1653
+ "eval_loss": 0.13967935611950816,
1654
+ "eval_runtime": 164.3708,
1655
+ "eval_samples_per_second": 24.335,
1656
+ "eval_steps_per_second": 0.383,
1657
+ "step": 1030
1658
+ },
1659
+ {
1660
+ "epoch": 0.104,
1661
+ "grad_norm": 0.14607678353786469,
1662
+ "learning_rate": 4.999756310023261e-05,
1663
+ "loss": 0.1336,
1664
+ "step": 1040
1665
+ },
1666
+ {
1667
+ "epoch": 0.104,
1668
+ "eval_cos_sim": 0.861626148223877,
1669
+ "eval_loss": 0.13934949829327525,
1670
+ "eval_runtime": 165.2839,
1671
+ "eval_samples_per_second": 24.201,
1672
+ "eval_steps_per_second": 0.381,
1673
+ "step": 1040
1674
+ },
1675
+ {
1676
+ "epoch": 0.105,
1677
+ "grad_norm": 0.1559648960828781,
1678
+ "learning_rate": 4.9996192378909786e-05,
1679
+ "loss": 0.1382,
1680
+ "step": 1050
1681
+ },
1682
+ {
1683
+ "epoch": 0.105,
1684
+ "eval_cos_sim": 0.8621127009391785,
1685
+ "eval_loss": 0.13886528732525766,
1686
+ "eval_runtime": 175.2773,
1687
+ "eval_samples_per_second": 22.821,
1688
+ "eval_steps_per_second": 0.359,
1689
+ "step": 1050
1690
+ },
1691
+ {
1692
+ "epoch": 0.106,
1693
+ "grad_norm": 0.15351799130439758,
1694
+ "learning_rate": 4.999451708687114e-05,
1695
+ "loss": 0.133,
1696
+ "step": 1060
1697
+ },
1698
+ {
1699
+ "epoch": 0.106,
1700
+ "eval_cos_sim": 0.8621622920036316,
1701
+ "eval_loss": 0.1388200798247999,
1702
+ "eval_runtime": 168.4264,
1703
+ "eval_samples_per_second": 23.749,
1704
+ "eval_steps_per_second": 0.374,
1705
+ "step": 1060
1706
+ },
1707
+ {
1708
+ "epoch": 0.107,
1709
+ "grad_norm": 0.13820523023605347,
1710
+ "learning_rate": 4.999253724452958e-05,
1711
+ "loss": 0.1314,
1712
+ "step": 1070
1713
+ },
1714
+ {
1715
+ "epoch": 0.107,
1716
+ "eval_cos_sim": 0.8628634810447693,
1717
+ "eval_loss": 0.13812118484723032,
1718
+ "eval_runtime": 160.5977,
1719
+ "eval_samples_per_second": 24.907,
1720
+ "eval_steps_per_second": 0.392,
1721
+ "step": 1070
1722
+ },
1723
+ {
1724
+ "epoch": 0.108,
1725
+ "grad_norm": 0.1627858728170395,
1726
+ "learning_rate": 4.999025287600886e-05,
1727
+ "loss": 0.1327,
1728
+ "step": 1080
1729
+ },
1730
+ {
1731
+ "epoch": 0.108,
1732
+ "eval_cos_sim": 0.8630489706993103,
1733
+ "eval_loss": 0.13793376447903574,
1734
+ "eval_runtime": 165.8793,
1735
+ "eval_samples_per_second": 24.114,
1736
+ "eval_steps_per_second": 0.38,
1737
+ "step": 1080
1738
+ },
1739
+ {
1740
+ "epoch": 0.109,
1741
+ "grad_norm": 0.14537328481674194,
1742
+ "learning_rate": 4.998766400914329e-05,
1743
+ "loss": 0.1347,
1744
+ "step": 1090
1745
+ },
1746
+ {
1747
+ "epoch": 0.109,
1748
+ "eval_cos_sim": 0.8635595440864563,
1749
+ "eval_loss": 0.13742092325436533,
1750
+ "eval_runtime": 175.092,
1751
+ "eval_samples_per_second": 22.845,
1752
+ "eval_steps_per_second": 0.36,
1753
+ "step": 1090
1754
+ },
1755
+ {
1756
+ "epoch": 0.11,
1757
+ "grad_norm": 0.15490968525409698,
1758
+ "learning_rate": 4.99847706754774e-05,
1759
+ "loss": 0.1322,
1760
+ "step": 1100
1761
+ },
1762
+ {
1763
+ "epoch": 0.11,
1764
+ "eval_cos_sim": 0.8640041351318359,
1765
+ "eval_loss": 0.13697428562390268,
1766
+ "eval_runtime": 171.1077,
1767
+ "eval_samples_per_second": 23.377,
1768
+ "eval_steps_per_second": 0.368,
1769
+ "step": 1100
1770
+ },
1771
+ {
1772
+ "epoch": 0.111,
1773
+ "grad_norm": 0.13356918096542358,
1774
+ "learning_rate": 4.998157291026553e-05,
1775
+ "loss": 0.1346,
1776
+ "step": 1110
1777
+ },
1778
+ {
1779
+ "epoch": 0.111,
1780
+ "eval_cos_sim": 0.864433228969574,
1781
+ "eval_loss": 0.13654097273098886,
1782
+ "eval_runtime": 165.0965,
1783
+ "eval_samples_per_second": 24.228,
1784
+ "eval_steps_per_second": 0.382,
1785
+ "step": 1110
1786
+ },
1787
+ {
1788
+ "epoch": 0.112,
1789
+ "grad_norm": 0.1531037539243698,
1790
+ "learning_rate": 4.997807075247146e-05,
1791
+ "loss": 0.131,
1792
+ "step": 1120
1793
+ },
1794
+ {
1795
+ "epoch": 0.112,
1796
+ "eval_cos_sim": 0.8644208908081055,
1797
+ "eval_loss": 0.13655049898373545,
1798
+ "eval_runtime": 175.2585,
1799
+ "eval_samples_per_second": 22.823,
1800
+ "eval_steps_per_second": 0.359,
1801
+ "step": 1120
1802
+ },
1803
+ {
1804
+ "epoch": 0.113,
1805
+ "grad_norm": 0.14743933081626892,
1806
+ "learning_rate": 4.997426424476787e-05,
1807
+ "loss": 0.131,
1808
+ "step": 1130
1809
+ },
1810
+ {
1811
+ "epoch": 0.113,
1812
+ "eval_cos_sim": 0.8642333745956421,
1813
+ "eval_loss": 0.1367411518310255,
1814
+ "eval_runtime": 175.2554,
1815
+ "eval_samples_per_second": 22.824,
1816
+ "eval_steps_per_second": 0.359,
1817
+ "step": 1130
1818
+ },
1819
+ {
1820
+ "epoch": 0.114,
1821
+ "grad_norm": 0.15171775221824646,
1822
+ "learning_rate": 4.997015343353585e-05,
1823
+ "loss": 0.1288,
1824
+ "step": 1140
1825
+ },
1826
+ {
1827
+ "epoch": 0.114,
1828
+ "eval_cos_sim": 0.864815890789032,
1829
+ "eval_loss": 0.13617111923443737,
1830
+ "eval_runtime": 168.6886,
1831
+ "eval_samples_per_second": 23.712,
1832
+ "eval_steps_per_second": 0.373,
1833
+ "step": 1140
1834
+ },
1835
+ {
1836
+ "epoch": 0.115,
1837
+ "grad_norm": 0.17678213119506836,
1838
+ "learning_rate": 4.996573836886435e-05,
1839
+ "loss": 0.1318,
1840
+ "step": 1150
1841
+ },
1842
+ {
1843
+ "epoch": 0.115,
1844
+ "eval_cos_sim": 0.865388035774231,
1845
+ "eval_loss": 0.13559978248822155,
1846
+ "eval_runtime": 164.5713,
1847
+ "eval_samples_per_second": 24.306,
1848
+ "eval_steps_per_second": 0.383,
1849
+ "step": 1150
1850
+ },
1851
+ {
1852
+ "epoch": 0.116,
1853
+ "grad_norm": 0.19686037302017212,
1854
+ "learning_rate": 4.996101910454953e-05,
1855
+ "loss": 0.1328,
1856
+ "step": 1160
1857
+ },
1858
+ {
1859
+ "epoch": 0.116,
1860
+ "eval_cos_sim": 0.8653638362884521,
1861
+ "eval_loss": 0.13562491752850475,
1862
+ "eval_runtime": 162.5909,
1863
+ "eval_samples_per_second": 24.602,
1864
+ "eval_steps_per_second": 0.387,
1865
+ "step": 1160
1866
+ },
1867
+ {
1868
+ "epoch": 0.117,
1869
+ "grad_norm": 0.13033832609653473,
1870
+ "learning_rate": 4.995599569809414e-05,
1871
+ "loss": 0.1314,
1872
+ "step": 1170
1873
+ },
1874
+ {
1875
+ "epoch": 0.117,
1876
+ "eval_cos_sim": 0.8652835488319397,
1877
+ "eval_loss": 0.1357041087363905,
1878
+ "eval_runtime": 166.4639,
1879
+ "eval_samples_per_second": 24.029,
1880
+ "eval_steps_per_second": 0.378,
1881
+ "step": 1170
1882
+ },
1883
+ {
1884
+ "epoch": 0.118,
1885
+ "grad_norm": 0.14916931092739105,
1886
+ "learning_rate": 4.995066821070679e-05,
1887
+ "loss": 0.1313,
1888
+ "step": 1180
1889
+ },
1890
+ {
1891
+ "epoch": 0.118,
1892
+ "eval_cos_sim": 0.8656159043312073,
1893
+ "eval_loss": 0.13536836673962535,
1894
+ "eval_runtime": 162.1775,
1895
+ "eval_samples_per_second": 24.664,
1896
+ "eval_steps_per_second": 0.388,
1897
+ "step": 1180
1898
+ },
1899
+ {
1900
+ "epoch": 0.119,
1901
+ "grad_norm": 0.14063435792922974,
1902
+ "learning_rate": 4.994503670730125e-05,
1903
+ "loss": 0.1292,
1904
+ "step": 1190
1905
+ },
1906
+ {
1907
+ "epoch": 0.119,
1908
+ "eval_cos_sim": 0.8658972978591919,
1909
+ "eval_loss": 0.13509506275402963,
1910
+ "eval_runtime": 163.733,
1911
+ "eval_samples_per_second": 24.43,
1912
+ "eval_steps_per_second": 0.385,
1913
+ "step": 1190
1914
+ },
1915
+ {
1916
+ "epoch": 0.12,
1917
+ "grad_norm": 0.12632516026496887,
1918
+ "learning_rate": 4.993910125649561e-05,
1919
+ "loss": 0.1291,
1920
+ "step": 1200
1921
+ },
1922
+ {
1923
+ "epoch": 0.12,
1924
+ "eval_cos_sim": 0.8662503361701965,
1925
+ "eval_loss": 0.13473713161694467,
1926
+ "eval_runtime": 165.846,
1927
+ "eval_samples_per_second": 24.119,
1928
+ "eval_steps_per_second": 0.38,
1929
+ "step": 1200
1930
+ },
1931
+ {
1932
+ "epoch": 0.121,
1933
+ "grad_norm": 0.1310836374759674,
1934
+ "learning_rate": 4.9932861930611454e-05,
1935
+ "loss": 0.1323,
1936
+ "step": 1210
1937
+ },
1938
+ {
1939
+ "epoch": 0.121,
1940
+ "eval_cos_sim": 0.8662631511688232,
1941
+ "eval_loss": 0.13472085668789804,
1942
+ "eval_runtime": 165.8256,
1943
+ "eval_samples_per_second": 24.122,
1944
+ "eval_steps_per_second": 0.38,
1945
+ "step": 1210
1946
+ },
1947
+ {
1948
+ "epoch": 0.122,
1949
+ "grad_norm": 0.14743076264858246,
1950
+ "learning_rate": 4.992631880567301e-05,
1951
+ "loss": 0.1296,
1952
+ "step": 1220
1953
+ },
1954
+ {
1955
+ "epoch": 0.122,
1956
+ "eval_cos_sim": 0.8664645552635193,
1957
+ "eval_loss": 0.13453043796765268,
1958
+ "eval_runtime": 161.1688,
1959
+ "eval_samples_per_second": 24.819,
1960
+ "eval_steps_per_second": 0.391,
1961
+ "step": 1220
1962
+ },
1963
+ {
1964
+ "epoch": 0.123,
1965
+ "grad_norm": 0.14941203594207764,
1966
+ "learning_rate": 4.991947196140618e-05,
1967
+ "loss": 0.127,
1968
+ "step": 1230
1969
+ },
1970
+ {
1971
+ "epoch": 0.123,
1972
+ "eval_cos_sim": 0.8669182658195496,
1973
+ "eval_loss": 0.1340716586326307,
1974
+ "eval_runtime": 159.0609,
1975
+ "eval_samples_per_second": 25.148,
1976
+ "eval_steps_per_second": 0.396,
1977
+ "step": 1230
1978
+ },
1979
+ {
1980
+ "epoch": 0.124,
1981
+ "grad_norm": 0.15963555872440338,
1982
+ "learning_rate": 4.991232148123761e-05,
1983
+ "loss": 0.1286,
1984
+ "step": 1240
1985
+ },
1986
+ {
1987
+ "epoch": 0.124,
1988
+ "eval_cos_sim": 0.8672899007797241,
1989
+ "eval_loss": 0.13370788147198617,
1990
+ "eval_runtime": 162.1984,
1991
+ "eval_samples_per_second": 24.661,
1992
+ "eval_steps_per_second": 0.388,
1993
+ "step": 1240
1994
+ },
1995
+ {
1996
+ "epoch": 0.125,
1997
+ "grad_norm": 0.12001099437475204,
1998
+ "learning_rate": 4.990486745229364e-05,
1999
+ "loss": 0.1289,
2000
+ "step": 1250
2001
+ },
2002
+ {
2003
+ "epoch": 0.125,
2004
+ "eval_cos_sim": 0.8670727610588074,
2005
+ "eval_loss": 0.13392866852032603,
2006
+ "eval_runtime": 161.0006,
2007
+ "eval_samples_per_second": 24.845,
2008
+ "eval_steps_per_second": 0.391,
2009
+ "step": 1250
2010
+ },
2011
+ {
2012
+ "epoch": 0.126,
2013
+ "grad_norm": 0.13203372061252594,
2014
+ "learning_rate": 4.989710996539926e-05,
2015
+ "loss": 0.1268,
2016
+ "step": 1260
2017
+ },
2018
+ {
2019
+ "epoch": 0.126,
2020
+ "eval_cos_sim": 0.8671303987503052,
2021
+ "eval_loss": 0.1338693347190565,
2022
+ "eval_runtime": 164.8756,
2023
+ "eval_samples_per_second": 24.261,
2024
+ "eval_steps_per_second": 0.382,
2025
+ "step": 1260
2026
+ },
2027
+ {
2028
+ "epoch": 0.127,
2029
+ "grad_norm": 0.1145872101187706,
2030
+ "learning_rate": 4.9889049115077005e-05,
2031
+ "loss": 0.1274,
2032
+ "step": 1270
2033
+ },
2034
+ {
2035
+ "epoch": 0.127,
2036
+ "eval_cos_sim": 0.8675019145011902,
2037
+ "eval_loss": 0.13349107553708017,
2038
+ "eval_runtime": 169.3092,
2039
+ "eval_samples_per_second": 23.625,
2040
+ "eval_steps_per_second": 0.372,
2041
+ "step": 1270
2042
+ },
2043
+ {
2044
+ "epoch": 0.128,
2045
+ "grad_norm": 0.1377398520708084,
2046
+ "learning_rate": 4.988068499954578e-05,
2047
+ "loss": 0.1317,
2048
+ "step": 1280
2049
+ },
2050
+ {
2051
+ "epoch": 0.128,
2052
+ "eval_cos_sim": 0.8676916360855103,
2053
+ "eval_loss": 0.1333048849319166,
2054
+ "eval_runtime": 159.5371,
2055
+ "eval_samples_per_second": 25.073,
2056
+ "eval_steps_per_second": 0.395,
2057
+ "step": 1280
2058
+ },
2059
+ {
2060
+ "epoch": 0.129,
2061
+ "grad_norm": 0.170301154255867,
2062
+ "learning_rate": 4.987201772071971e-05,
2063
+ "loss": 0.1285,
2064
+ "step": 1290
2065
+ },
2066
+ {
2067
+ "epoch": 0.129,
2068
+ "eval_cos_sim": 0.8680738806724548,
2069
+ "eval_loss": 0.13292226507412852,
2070
+ "eval_runtime": 176.1386,
2071
+ "eval_samples_per_second": 22.709,
2072
+ "eval_steps_per_second": 0.358,
2073
+ "step": 1290
2074
+ },
2075
+ {
2076
+ "epoch": 0.13,
2077
+ "grad_norm": 0.1578381359577179,
2078
+ "learning_rate": 4.9863047384206835e-05,
2079
+ "loss": 0.1295,
2080
+ "step": 1300
2081
+ },
2082
+ {
2083
+ "epoch": 0.13,
2084
+ "eval_cos_sim": 0.8683300614356995,
2085
+ "eval_loss": 0.13265489532696664,
2086
+ "eval_runtime": 164.7229,
2087
+ "eval_samples_per_second": 24.283,
2088
+ "eval_steps_per_second": 0.382,
2089
+ "step": 1300
2090
+ }
2091
+ ],
2092
+ "logging_steps": 10,
2093
+ "max_steps": 10000,
2094
+ "num_input_tokens_seen": 0,
2095
+ "num_train_epochs": 9223372036854775807,
2096
+ "save_steps": 10,
2097
+ "stateful_callbacks": {
2098
+ "TrainerControl": {
2099
+ "args": {
2100
+ "should_epoch_stop": false,
2101
+ "should_evaluate": false,
2102
+ "should_log": false,
2103
+ "should_save": true,
2104
+ "should_training_stop": false
2105
+ },
2106
+ "attributes": {}
2107
+ }
2108
+ },
2109
+ "total_flos": 0.0,
2110
+ "train_batch_size": 160,
2111
+ "trial_name": null,
2112
+ "trial_params": null
2113
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:228943860476aef422f429bf676bbb7f95e79b4b2c6e641a22176011b8628860
3
+ size 5176