ChiefTheLord commited on
Commit
51bca73
·
verified ·
1 Parent(s): de58ebb

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -50,3 +50,4 @@ checkpoints-v4.5/checkpoint-7168/eval_state.json filter=lfs diff=lfs merge=lfs -
50
  checkpoints-v4.5/checkpoint-15360/eval_state.json filter=lfs diff=lfs merge=lfs -text
51
  checkpoints-v5.9/checkpoint-11264/eval_state.json filter=lfs diff=lfs merge=lfs -text
52
  checkpoints-v5.10/checkpoint-7168/eval_state.json filter=lfs diff=lfs merge=lfs -text
 
 
50
  checkpoints-v4.5/checkpoint-15360/eval_state.json filter=lfs diff=lfs merge=lfs -text
51
  checkpoints-v5.9/checkpoint-11264/eval_state.json filter=lfs diff=lfs merge=lfs -text
52
  checkpoints-v5.10/checkpoint-7168/eval_state.json filter=lfs diff=lfs merge=lfs -text
53
+ checkpoints-v4.5/checkpoint-21504/eval_state.json filter=lfs diff=lfs merge=lfs -text
checkpoints-v4.5/checkpoint-21504/ema.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f60a6f0818832c135f0733bf63523189803fae19c63f1efe5a2ea3a7a2d1bfa
3
+ size 38935592
checkpoints-v4.5/checkpoint-21504/eval_state.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bfeb1036752567598085512fefda83587fd55680447ffac63b145c2c8e0758c0
3
+ size 44012144
checkpoints-v4.5/checkpoint-21504/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5e9fc58d90fb5f778fbccf561b2f9e0e672a9f6e998184e64b33244a9ee6f90
3
+ size 38935624
checkpoints-v4.5/checkpoint-21504/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:02a609f74ac6c2af04de9452d7f12cbcc3fb34151063d403ec2abf5301dee3fc
3
+ size 77992907
checkpoints-v4.5/checkpoint-21504/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1dbb67236de71e7dfbb6f44788c059a8e56677f7151dcf072e20a638629416b7
3
+ size 14645
checkpoints-v4.5/checkpoint-21504/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:74b34b002e4927aa4b4be5fa612003831897c765623788d7faec51896d02eb66
3
+ size 1383
checkpoints-v4.5/checkpoint-21504/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c8d0f20f63f45b1b1775e9f97d9c6a1a2904fa04b7d5a41f30f11b9aef0479eb
3
+ size 1465
checkpoints-v4.5/checkpoint-21504/trainer_state.json ADDED
@@ -0,0 +1,1273 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.9932104752667313,
6
+ "eval_steps": 1024,
7
+ "global_step": 21504,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.011823934229365849,
14
+ "grad_norm": 1.1487267017364502,
15
+ "learning_rate": 0.000498046875,
16
+ "loss": 11.798027992248535,
17
+ "step": 256
18
+ },
19
+ {
20
+ "epoch": 0.023647868458731697,
21
+ "grad_norm": 0.8386015295982361,
22
+ "learning_rate": 0.000998046875,
23
+ "loss": 1.7853779792785645,
24
+ "step": 512
25
+ },
26
+ {
27
+ "epoch": 0.03547180268809755,
28
+ "grad_norm": 0.7344363331794739,
29
+ "learning_rate": 0.000999640996023194,
30
+ "loss": 1.103014588356018,
31
+ "step": 768
32
+ },
33
+ {
34
+ "epoch": 0.047295736917463395,
35
+ "grad_norm": 1.1188315153121948,
36
+ "learning_rate": 0.0009985588674043958,
37
+ "loss": 0.9580796360969543,
38
+ "step": 1024
39
+ },
40
+ {
41
+ "epoch": 0.047295736917463395,
42
+ "eval_bleu": 0.9192375404443994,
43
+ "eval_ce_loss": 0.26167990953648745,
44
+ "eval_cos_loss": 0.26406568816127296,
45
+ "eval_loss": 0.9037111119864738,
46
+ "eval_mse_loss": 0.6016385473617135,
47
+ "eval_rec_loss": 0.013986090569199833,
48
+ "flow/cos_sim": 0.7359343250048215,
49
+ "flow/improvement_ratio": 0.9760946458605326,
50
+ "flow/mag_ratio_mean": 0.7269674200717717,
51
+ "flow/mag_ratio_std": 0.1390784539316343,
52
+ "step": 1024
53
+ },
54
+ {
55
+ "epoch": 0.047295736917463395,
56
+ "eval_bleu": 0.9192375404443994,
57
+ "eval_ce_loss": 0.26167990953648745,
58
+ "eval_cos_loss": 0.26406568816127296,
59
+ "eval_loss": 0.9037111119864738,
60
+ "eval_mse_loss": 0.6016385473617135,
61
+ "eval_rec_loss": 0.013986090569199833,
62
+ "eval_runtime": 144.0156,
63
+ "eval_samples_per_second": 194.375,
64
+ "eval_steps_per_second": 3.041,
65
+ "flow/cos_sim": 0.7359343250048215,
66
+ "flow/improvement_ratio": 0.9760946458605326,
67
+ "flow/mag_ratio_mean": 0.7269674200717717,
68
+ "flow/mag_ratio_std": 0.1390784539316343,
69
+ "step": 1024
70
+ },
71
+ {
72
+ "epoch": 0.05911967114682925,
73
+ "grad_norm": 1.0113043785095215,
74
+ "learning_rate": 0.0009967551747861387,
75
+ "loss": 0.8836896419525146,
76
+ "step": 1280
77
+ },
78
+ {
79
+ "epoch": 0.0709436053761951,
80
+ "grad_norm": 0.9680636525154114,
81
+ "learning_rate": 0.000994232528651847,
82
+ "loss": 0.8432819247245789,
83
+ "step": 1536
84
+ },
85
+ {
86
+ "epoch": 0.08276753960556095,
87
+ "grad_norm": 1.166627049446106,
88
+ "learning_rate": 0.0009909945800260092,
89
+ "loss": 0.7870283126831055,
90
+ "step": 1792
91
+ },
92
+ {
93
+ "epoch": 0.09459147383492679,
94
+ "grad_norm": 0.7747617363929749,
95
+ "learning_rate": 0.0009870460151900522,
96
+ "loss": 0.7735522389411926,
97
+ "step": 2048
98
+ },
99
+ {
100
+ "epoch": 0.09459147383492679,
101
+ "eval_bleu": 0.9264483676285591,
102
+ "eval_ce_loss": 0.22021640589690372,
103
+ "eval_cos_loss": 0.15934634184864557,
104
+ "eval_loss": 0.751849727815689,
105
+ "eval_mse_loss": 0.51190055103879,
106
+ "eval_rec_loss": 0.0037981332031229603,
107
+ "flow/cos_sim": 0.8406536742432477,
108
+ "flow/improvement_ratio": 0.9754726998337871,
109
+ "flow/mag_ratio_mean": 0.8395581131112085,
110
+ "flow/mag_ratio_std": 0.09706963221096013,
111
+ "step": 2048
112
+ },
113
+ {
114
+ "epoch": 0.09459147383492679,
115
+ "eval_bleu": 0.9264483676285591,
116
+ "eval_ce_loss": 0.22021640589690372,
117
+ "eval_cos_loss": 0.15934634184864557,
118
+ "eval_loss": 0.751849727815689,
119
+ "eval_mse_loss": 0.51190055103879,
120
+ "eval_rec_loss": 0.0037981332031229603,
121
+ "eval_runtime": 139.3758,
122
+ "eval_samples_per_second": 200.845,
123
+ "eval_steps_per_second": 3.143,
124
+ "flow/cos_sim": 0.8406536742432477,
125
+ "flow/improvement_ratio": 0.9754726998337871,
126
+ "flow/mag_ratio_mean": 0.8395581131112085,
127
+ "flow/mag_ratio_std": 0.09706963221096013,
128
+ "step": 2048
129
+ },
130
+ {
131
+ "epoch": 0.10641540806429264,
132
+ "grad_norm": 1.3507742881774902,
133
+ "learning_rate": 0.0009823925488998885,
134
+ "loss": 0.7531520128250122,
135
+ "step": 2304
136
+ },
137
+ {
138
+ "epoch": 0.1182393422936585,
139
+ "grad_norm": 1.090326189994812,
140
+ "learning_rate": 0.0009770409161149525,
141
+ "loss": 0.7384664416313171,
142
+ "step": 2560
143
+ },
144
+ {
145
+ "epoch": 0.13006327652302435,
146
+ "grad_norm": 1.6648627519607544,
147
+ "learning_rate": 0.0009709988622506973,
148
+ "loss": 0.7159472107887268,
149
+ "step": 2816
150
+ },
151
+ {
152
+ "epoch": 0.1418872107523902,
153
+ "grad_norm": 0.720405638217926,
154
+ "learning_rate": 0.000964275131968659,
155
+ "loss": 0.7134207487106323,
156
+ "step": 3072
157
+ },
158
+ {
159
+ "epoch": 0.1418872107523902,
160
+ "eval_bleu": 0.9362046037171927,
161
+ "eval_ce_loss": 0.18669388993094638,
162
+ "eval_cos_loss": 0.09599785676829892,
163
+ "eval_loss": 0.7009708360177741,
164
+ "eval_mse_loss": 0.5027340843797274,
165
+ "eval_rec_loss": 0.0019430727923829022,
166
+ "flow/cos_sim": 0.9040021625555814,
167
+ "flow/improvement_ratio": 0.9753212502830104,
168
+ "flow/mag_ratio_mean": 0.906250716208323,
169
+ "flow/mag_ratio_std": 0.07307879087519428,
170
+ "step": 3072
171
+ },
172
+ {
173
+ "epoch": 0.1418872107523902,
174
+ "eval_bleu": 0.9362046037171927,
175
+ "eval_ce_loss": 0.18669388993094638,
176
+ "eval_cos_loss": 0.09599785676829892,
177
+ "eval_loss": 0.7009708360177741,
178
+ "eval_mse_loss": 0.5027340843797274,
179
+ "eval_rec_loss": 0.0019430727923829022,
180
+ "eval_runtime": 139.2617,
181
+ "eval_samples_per_second": 201.01,
182
+ "eval_steps_per_second": 3.145,
183
+ "flow/cos_sim": 0.9040021625555814,
184
+ "flow/improvement_ratio": 0.9753212502830104,
185
+ "flow/mag_ratio_mean": 0.906250716208323,
186
+ "flow/mag_ratio_std": 0.07307879087519428,
187
+ "step": 3072
188
+ },
189
+ {
190
+ "epoch": 0.15371114498175603,
191
+ "grad_norm": 1.171225905418396,
192
+ "learning_rate": 0.0009568794565203123,
193
+ "loss": 0.6967981457710266,
194
+ "step": 3328
195
+ },
196
+ {
197
+ "epoch": 0.1655350792111219,
198
+ "grad_norm": 0.9184499979019165,
199
+ "learning_rate": 0.0009488225396630347,
200
+ "loss": 0.6859588623046875,
201
+ "step": 3584
202
+ },
203
+ {
204
+ "epoch": 0.17735901344048774,
205
+ "grad_norm": 1.0972322225570679,
206
+ "learning_rate": 0.0009401160421685646,
207
+ "loss": 0.68483966588974,
208
+ "step": 3840
209
+ },
210
+ {
211
+ "epoch": 0.18918294766985358,
212
+ "grad_norm": 1.2944236993789673,
213
+ "learning_rate": 0.0009307725649463714,
214
+ "loss": 0.6722217202186584,
215
+ "step": 4096
216
+ },
217
+ {
218
+ "epoch": 0.18918294766985358,
219
+ "eval_bleu": 0.9367529454304925,
220
+ "eval_ce_loss": 0.17851220300531687,
221
+ "eval_cos_loss": 0.0685597131088308,
222
+ "eval_loss": 0.6638682314522191,
223
+ "eval_mse_loss": 0.4771829223660029,
224
+ "eval_rec_loss": 0.0013171346048419428,
225
+ "flow/cos_sim": 0.9314403127045392,
226
+ "flow/improvement_ratio": 0.9747336862021929,
227
+ "flow/mag_ratio_mean": 0.9314602082722807,
228
+ "flow/mag_ratio_std": 0.05983651272068013,
229
+ "step": 4096
230
+ },
231
+ {
232
+ "epoch": 0.18918294766985358,
233
+ "eval_bleu": 0.9367529454304925,
234
+ "eval_ce_loss": 0.17851220300531687,
235
+ "eval_cos_loss": 0.0685597131088308,
236
+ "eval_loss": 0.6638682314522191,
237
+ "eval_mse_loss": 0.4771829223660029,
238
+ "eval_rec_loss": 0.0013171346048419428,
239
+ "eval_runtime": 143.247,
240
+ "eval_samples_per_second": 195.418,
241
+ "eval_steps_per_second": 3.058,
242
+ "flow/cos_sim": 0.9314403127045392,
243
+ "flow/improvement_ratio": 0.9747336862021929,
244
+ "flow/mag_ratio_mean": 0.9314602082722807,
245
+ "flow/mag_ratio_std": 0.05983651272068013,
246
+ "step": 4096
247
+ },
248
+ {
249
+ "epoch": 0.20100688189921945,
250
+ "grad_norm": 1.0950664281845093,
251
+ "learning_rate": 0.0009208056308063659,
252
+ "loss": 0.6635431051254272,
253
+ "step": 4352
254
+ },
255
+ {
256
+ "epoch": 0.2128308161285853,
257
+ "grad_norm": 1.0510311126708984,
258
+ "learning_rate": 0.0009102296648873445,
259
+ "loss": 0.652130126953125,
260
+ "step": 4608
261
+ },
262
+ {
263
+ "epoch": 0.22465475035795113,
264
+ "grad_norm": 0.7107524275779724,
265
+ "learning_rate": 0.0008990599737794927,
266
+ "loss": 0.6548014283180237,
267
+ "step": 4864
268
+ },
269
+ {
270
+ "epoch": 0.236478684587317,
271
+ "grad_norm": 1.119279146194458,
272
+ "learning_rate": 0.0008873127233711644,
273
+ "loss": 0.644295871257782,
274
+ "step": 5120
275
+ },
276
+ {
277
+ "epoch": 0.236478684587317,
278
+ "eval_bleu": 0.9375087809294717,
279
+ "eval_ce_loss": 0.17866700632629498,
280
+ "eval_cos_loss": 0.05568918508379699,
281
+ "eval_loss": 0.6384022356304404,
282
+ "eval_mse_loss": 0.4531491862856634,
283
+ "eval_rec_loss": 0.0010171248973892112,
284
+ "flow/cos_sim": 0.9443108406785417,
285
+ "flow/improvement_ratio": 0.9754358607612245,
286
+ "flow/mag_ratio_mean": 0.9432625220790846,
287
+ "flow/mag_ratio_std": 0.0532344374550532,
288
+ "step": 5120
289
+ },
290
+ {
291
+ "epoch": 0.236478684587317,
292
+ "eval_bleu": 0.9375087809294717,
293
+ "eval_ce_loss": 0.17866700632629498,
294
+ "eval_cos_loss": 0.05568918508379699,
295
+ "eval_loss": 0.6384022356304404,
296
+ "eval_mse_loss": 0.4531491862856634,
297
+ "eval_rec_loss": 0.0010171248973892112,
298
+ "eval_runtime": 140.7376,
299
+ "eval_samples_per_second": 198.902,
300
+ "eval_steps_per_second": 3.112,
301
+ "flow/cos_sim": 0.9443108406785417,
302
+ "flow/improvement_ratio": 0.9754358607612245,
303
+ "flow/mag_ratio_mean": 0.9432625220790846,
304
+ "flow/mag_ratio_std": 0.0532344374550532,
305
+ "step": 5120
306
+ },
307
+ {
308
+ "epoch": 0.24830261881668284,
309
+ "grad_norm": 1.223329782485962,
310
+ "learning_rate": 0.0008750049154520011,
311
+ "loss": 0.6385497450828552,
312
+ "step": 5376
313
+ },
314
+ {
315
+ "epoch": 0.2601265530460487,
316
+ "grad_norm": 0.7951129078865051,
317
+ "learning_rate": 0.0008621543631062487,
318
+ "loss": 0.6350575089454651,
319
+ "step": 5632
320
+ },
321
+ {
322
+ "epoch": 0.27195048727541454,
323
+ "grad_norm": 0.8830247521400452,
324
+ "learning_rate": 0.0008487796649318904,
325
+ "loss": 0.6269800066947937,
326
+ "step": 5888
327
+ },
328
+ {
329
+ "epoch": 0.2837744215047804,
330
+ "grad_norm": 1.0399079322814941,
331
+ "learning_rate": 0.0008349001781229053,
332
+ "loss": 0.6236906051635742,
333
+ "step": 6144
334
+ },
335
+ {
336
+ "epoch": 0.2837744215047804,
337
+ "eval_bleu": 0.9406288888554537,
338
+ "eval_ce_loss": 0.16271350685439018,
339
+ "eval_cos_loss": 0.04946032597696128,
340
+ "eval_loss": 0.6158577807962078,
341
+ "eval_mse_loss": 0.4472781540868489,
342
+ "eval_rec_loss": 0.0009200886164281037,
343
+ "flow/cos_sim": 0.9505396935765602,
344
+ "flow/improvement_ratio": 0.9752184091365501,
345
+ "flow/mag_ratio_mean": 0.9574754819205907,
346
+ "flow/mag_ratio_std": 0.04891788842131014,
347
+ "step": 6144
348
+ },
349
+ {
350
+ "epoch": 0.2837744215047804,
351
+ "eval_bleu": 0.9406288888554537,
352
+ "eval_ce_loss": 0.16271350685439018,
353
+ "eval_cos_loss": 0.04946032597696128,
354
+ "eval_loss": 0.6158577807962078,
355
+ "eval_mse_loss": 0.4472781540868489,
356
+ "eval_rec_loss": 0.0009200886164281037,
357
+ "eval_runtime": 138.7881,
358
+ "eval_samples_per_second": 201.696,
359
+ "eval_steps_per_second": 3.156,
360
+ "flow/cos_sim": 0.9505396935765602,
361
+ "flow/improvement_ratio": 0.9752184091365501,
362
+ "flow/mag_ratio_mean": 0.9574754819205907,
363
+ "flow/mag_ratio_std": 0.04891788842131014,
364
+ "step": 6144
365
+ },
366
+ {
367
+ "epoch": 0.2955983557341462,
368
+ "grad_norm": 1.2804330587387085,
369
+ "learning_rate": 0.0008205359904536107,
370
+ "loss": 0.6104704737663269,
371
+ "step": 6400
372
+ },
373
+ {
374
+ "epoch": 0.30742228996351206,
375
+ "grad_norm": 1.038807988166809,
376
+ "learning_rate": 0.0008057078912056363,
377
+ "loss": 0.6035579442977905,
378
+ "step": 6656
379
+ },
380
+ {
381
+ "epoch": 0.3192462241928779,
382
+ "grad_norm": 1.1162539720535278,
383
+ "learning_rate": 0.0007904373410796086,
384
+ "loss": 0.6099694967269897,
385
+ "step": 6912
386
+ },
387
+ {
388
+ "epoch": 0.3310701584222438,
389
+ "grad_norm": 0.8053554892539978,
390
+ "learning_rate": 0.0007747464411350876,
391
+ "loss": 0.6010444760322571,
392
+ "step": 7168
393
+ },
394
+ {
395
+ "epoch": 0.3310701584222438,
396
+ "eval_bleu": 0.9403609007223014,
397
+ "eval_ce_loss": 0.16489822024130793,
398
+ "eval_cos_loss": 0.042615741474307293,
399
+ "eval_loss": 0.5965314044799979,
400
+ "eval_mse_loss": 0.4266453656839998,
401
+ "eval_rec_loss": 0.0007262465627901213,
402
+ "flow/cos_sim": 0.9573842790573155,
403
+ "flow/improvement_ratio": 0.9754182146564466,
404
+ "flow/mag_ratio_mean": 0.9583017167435389,
405
+ "flow/mag_ratio_std": 0.044361623012584096,
406
+ "step": 7168
407
+ },
408
+ {
409
+ "epoch": 0.3310701584222438,
410
+ "eval_bleu": 0.9403609007223014,
411
+ "eval_ce_loss": 0.16489822024130793,
412
+ "eval_cos_loss": 0.042615741474307293,
413
+ "eval_loss": 0.5965314044799979,
414
+ "eval_mse_loss": 0.4266453656839998,
415
+ "eval_rec_loss": 0.0007262465627901213,
416
+ "eval_runtime": 141.0373,
417
+ "eval_samples_per_second": 198.479,
418
+ "eval_steps_per_second": 3.106,
419
+ "flow/cos_sim": 0.9573842790573155,
420
+ "flow/improvement_ratio": 0.9754182146564466,
421
+ "flow/mag_ratio_mean": 0.9583017167435389,
422
+ "flow/mag_ratio_std": 0.044361623012584096,
423
+ "step": 7168
424
+ },
425
+ {
426
+ "epoch": 0.34289409265160964,
427
+ "grad_norm": 0.926774799823761,
428
+ "learning_rate": 0.000758657900803716,
429
+ "loss": 0.6045265793800354,
430
+ "step": 7424
431
+ },
432
+ {
433
+ "epoch": 0.3547180268809755,
434
+ "grad_norm": 0.6091651320457458,
435
+ "learning_rate": 0.000742195005021869,
436
+ "loss": 0.6046400666236877,
437
+ "step": 7680
438
+ },
439
+ {
440
+ "epoch": 0.3665419611103413,
441
+ "grad_norm": 0.9995866417884827,
442
+ "learning_rate": 0.0007253815805303786,
443
+ "loss": 0.5923656225204468,
444
+ "step": 7936
445
+ },
446
+ {
447
+ "epoch": 0.37836589533970716,
448
+ "grad_norm": 0.8947123885154724,
449
+ "learning_rate": 0.0007082419613901028,
450
+ "loss": 0.5886037349700928,
451
+ "step": 8192
452
+ },
453
+ {
454
+ "epoch": 0.37836589533970716,
455
+ "eval_bleu": 0.9428308469149022,
456
+ "eval_ce_loss": 0.15756705103943883,
457
+ "eval_cos_loss": 0.03951380795641849,
458
+ "eval_loss": 0.5839528071281572,
459
+ "eval_mse_loss": 0.42179430878325685,
460
+ "eval_rec_loss": 0.0006400666907252946,
461
+ "flow/cos_sim": 0.9604862126857723,
462
+ "flow/improvement_ratio": 0.9746591260988419,
463
+ "flow/mag_ratio_mean": 0.9592139723638421,
464
+ "flow/mag_ratio_std": 0.04008094550505893,
465
+ "step": 8192
466
+ },
467
+ {
468
+ "epoch": 0.37836589533970716,
469
+ "eval_bleu": 0.9428308469149022,
470
+ "eval_ce_loss": 0.15756705103943883,
471
+ "eval_cos_loss": 0.03951380795641849,
472
+ "eval_loss": 0.5839528071281572,
473
+ "eval_mse_loss": 0.42179430878325685,
474
+ "eval_rec_loss": 0.0006400666907252946,
475
+ "eval_runtime": 142.8618,
476
+ "eval_samples_per_second": 195.945,
477
+ "eval_steps_per_second": 3.066,
478
+ "flow/cos_sim": 0.9604862126857723,
479
+ "flow/improvement_ratio": 0.9746591260988419,
480
+ "flow/mag_ratio_mean": 0.9592139723638421,
481
+ "flow/mag_ratio_std": 0.04008094550505893,
482
+ "step": 8192
483
+ },
484
+ {
485
+ "epoch": 0.390189829569073,
486
+ "grad_norm": 0.9762691259384155,
487
+ "learning_rate": 0.0006908009537632514,
488
+ "loss": 0.591374397277832,
489
+ "step": 8448
490
+ },
491
+ {
492
+ "epoch": 0.4020137637984389,
493
+ "grad_norm": 0.9119466543197632,
494
+ "learning_rate": 0.0006730838000114403,
495
+ "loss": 0.5883693099021912,
496
+ "step": 8704
497
+ },
498
+ {
499
+ "epoch": 0.41383769802780473,
500
+ "grad_norm": 0.7088457942008972,
501
+ "learning_rate": 0.0006551161421624341,
502
+ "loss": 0.591505229473114,
503
+ "step": 8960
504
+ },
505
+ {
506
+ "epoch": 0.4256616322571706,
507
+ "grad_norm": 0.962149441242218,
508
+ "learning_rate": 0.0006369239847984517,
509
+ "loss": 0.5791484117507935,
510
+ "step": 9216
511
+ },
512
+ {
513
+ "epoch": 0.4256616322571706,
514
+ "eval_bleu": 0.9397317595032229,
515
+ "eval_ce_loss": 0.1654567693755643,
516
+ "eval_cos_loss": 0.036672262636493876,
517
+ "eval_loss": 0.5844078893394775,
518
+ "eval_mse_loss": 0.41475171422305174,
519
+ "eval_rec_loss": 0.0005321793435803258,
520
+ "flow/cos_sim": 0.9633277582523485,
521
+ "flow/improvement_ratio": 0.9749675198504913,
522
+ "flow/mag_ratio_mean": 0.9673667468436776,
523
+ "flow/mag_ratio_std": 0.03610456871829893,
524
+ "step": 9216
525
+ },
526
+ {
527
+ "epoch": 0.4256616322571706,
528
+ "eval_bleu": 0.9397317595032229,
529
+ "eval_ce_loss": 0.1654567693755643,
530
+ "eval_cos_loss": 0.036672262636493876,
531
+ "eval_loss": 0.5844078893394775,
532
+ "eval_mse_loss": 0.41475171422305174,
533
+ "eval_rec_loss": 0.0005321793435803258,
534
+ "eval_runtime": 140.1978,
535
+ "eval_samples_per_second": 199.668,
536
+ "eval_steps_per_second": 3.124,
537
+ "flow/cos_sim": 0.9633277582523485,
538
+ "flow/improvement_ratio": 0.9749675198504913,
539
+ "flow/mag_ratio_mean": 0.9673667468436776,
540
+ "flow/mag_ratio_std": 0.03610456871829893,
541
+ "step": 9216
542
+ },
543
+ {
544
+ "epoch": 0.4374855664865364,
545
+ "grad_norm": 0.853702187538147,
546
+ "learning_rate": 0.0006185336574197479,
547
+ "loss": 0.5742002725601196,
548
+ "step": 9472
549
+ },
550
+ {
551
+ "epoch": 0.44930950071590225,
552
+ "grad_norm": 0.9982457160949707,
553
+ "learning_rate": 0.0005999717763379407,
554
+ "loss": 0.5812740921974182,
555
+ "step": 9728
556
+ },
557
+ {
558
+ "epoch": 0.4611334349452681,
559
+ "grad_norm": 1.16475510597229,
560
+ "learning_rate": 0.0005812652061542363,
561
+ "loss": 0.5733819603919983,
562
+ "step": 9984
563
+ },
564
+ {
565
+ "epoch": 0.472957369174634,
566
+ "grad_norm": 1.0706837177276611,
567
+ "learning_rate": 0.0005624410208783071,
568
+ "loss": 0.5738887190818787,
569
+ "step": 10240
570
+ },
571
+ {
572
+ "epoch": 0.472957369174634,
573
+ "eval_bleu": 0.9459802582441368,
574
+ "eval_ce_loss": 0.14516126815459296,
575
+ "eval_cos_loss": 0.033954130285780995,
576
+ "eval_loss": 0.5643789048336413,
577
+ "eval_mse_loss": 0.4153396790702593,
578
+ "eval_rec_loss": 0.0004825431066599768,
579
+ "flow/cos_sim": 0.9660458944431723,
580
+ "flow/improvement_ratio": 0.9768404536051293,
581
+ "flow/mag_ratio_mean": 0.964692687198996,
582
+ "flow/mag_ratio_std": 0.033606582049059266,
583
+ "step": 10240
584
+ },
585
+ {
586
+ "epoch": 0.472957369174634,
587
+ "eval_bleu": 0.9459802582441368,
588
+ "eval_ce_loss": 0.14516126815459296,
589
+ "eval_cos_loss": 0.033954130285780995,
590
+ "eval_loss": 0.5643789048336413,
591
+ "eval_mse_loss": 0.4153396790702593,
592
+ "eval_rec_loss": 0.0004825431066599768,
593
+ "eval_runtime": 138.7003,
594
+ "eval_samples_per_second": 201.824,
595
+ "eval_steps_per_second": 3.158,
596
+ "flow/cos_sim": 0.9660458944431723,
597
+ "flow/improvement_ratio": 0.9768404536051293,
598
+ "flow/mag_ratio_mean": 0.964692687198996,
599
+ "flow/mag_ratio_std": 0.033606582049059266,
600
+ "step": 10240
601
+ },
602
+ {
603
+ "epoch": 0.48478130340399983,
604
+ "grad_norm": 1.2897191047668457,
605
+ "learning_rate": 0.0005435264647440881,
606
+ "loss": 0.5754253268241882,
607
+ "step": 10496
608
+ },
609
+ {
610
+ "epoch": 0.49660523763336567,
611
+ "grad_norm": 0.8889420628547668,
612
+ "learning_rate": 0.000524548912779213,
613
+ "loss": 0.5645499229431152,
614
+ "step": 10752
615
+ },
616
+ {
617
+ "epoch": 0.5084291718627315,
618
+ "grad_norm": 1.0012623071670532,
619
+ "learning_rate": 0.0005055358311851499,
620
+ "loss": 0.570586085319519,
621
+ "step": 11008
622
+ },
623
+ {
624
+ "epoch": 0.5202531060920974,
625
+ "grad_norm": 0.7268548011779785,
626
+ "learning_rate": 0.0004865147375853812,
627
+ "loss": 0.5649828910827637,
628
+ "step": 11264
629
+ },
630
+ {
631
+ "epoch": 0.5202531060920974,
632
+ "eval_bleu": 0.9438391043268173,
633
+ "eval_ce_loss": 0.15168385392003883,
634
+ "eval_cos_loss": 0.031372046842320596,
635
+ "eval_loss": 0.5559442507349737,
636
+ "eval_mse_loss": 0.40068320514948946,
637
+ "eval_rec_loss": 0.0004399877304908156,
638
+ "flow/cos_sim": 0.9686279725538541,
639
+ "flow/improvement_ratio": 0.9761811211773249,
640
+ "flow/mag_ratio_mean": 0.9699762897676529,
641
+ "flow/mag_ratio_std": 0.031497096553546926,
642
+ "step": 11264
643
+ },
644
+ {
645
+ "epoch": 0.5202531060920974,
646
+ "eval_bleu": 0.9438391043268173,
647
+ "eval_ce_loss": 0.15168385392003883,
648
+ "eval_cos_loss": 0.031372046842320596,
649
+ "eval_loss": 0.5559442507349737,
650
+ "eval_mse_loss": 0.40068320514948946,
651
+ "eval_rec_loss": 0.0004399877304908156,
652
+ "eval_runtime": 142.7289,
653
+ "eval_samples_per_second": 196.127,
654
+ "eval_steps_per_second": 3.069,
655
+ "flow/cos_sim": 0.9686279725538541,
656
+ "flow/improvement_ratio": 0.9761811211773249,
657
+ "flow/mag_ratio_mean": 0.9699762897676529,
658
+ "flow/mag_ratio_std": 0.031497096553546926,
659
+ "step": 11264
660
+ },
661
+ {
662
+ "epoch": 0.5320770403214632,
663
+ "grad_norm": 1.215234637260437,
664
+ "learning_rate": 0.0004675131611991607,
665
+ "loss": 0.5652971863746643,
666
+ "step": 11520
667
+ },
668
+ {
669
+ "epoch": 0.5439009745508291,
670
+ "grad_norm": 0.622643768787384,
671
+ "learning_rate": 0.0004485586029984899,
672
+ "loss": 0.5565246343612671,
673
+ "step": 11776
674
+ },
675
+ {
676
+ "epoch": 0.5557249087801949,
677
+ "grad_norm": 1.0961378812789917,
678
+ "learning_rate": 0.00042967849590597266,
679
+ "loss": 0.5489715933799744,
680
+ "step": 12032
681
+ },
682
+ {
683
+ "epoch": 0.5675488430095608,
684
+ "grad_norm": 0.9782881140708923,
685
+ "learning_rate": 0.0004109001650911621,
686
+ "loss": 0.5525087118148804,
687
+ "step": 12288
688
+ },
689
+ {
690
+ "epoch": 0.5675488430095608,
691
+ "eval_bleu": 0.9412862694661508,
692
+ "eval_ce_loss": 0.1635204538911343,
693
+ "eval_cos_loss": 0.030069323277874895,
694
+ "eval_loss": 0.5582960859689539,
695
+ "eval_mse_loss": 0.39135666776737665,
696
+ "eval_rec_loss": 0.00041203244906421176,
697
+ "flow/cos_sim": 0.969930695344324,
698
+ "flow/improvement_ratio": 0.9753037164472553,
699
+ "flow/mag_ratio_mean": 0.9802452540833112,
700
+ "flow/mag_ratio_std": 0.030909983262623827,
701
+ "step": 12288
702
+ },
703
+ {
704
+ "epoch": 0.5675488430095608,
705
+ "eval_bleu": 0.9412862694661508,
706
+ "eval_ce_loss": 0.1635204538911343,
707
+ "eval_cos_loss": 0.030069323277874895,
708
+ "eval_loss": 0.5582960859689539,
709
+ "eval_mse_loss": 0.39135666776737665,
710
+ "eval_rec_loss": 0.00041203244906421176,
711
+ "eval_runtime": 141.5788,
712
+ "eval_samples_per_second": 197.72,
713
+ "eval_steps_per_second": 3.094,
714
+ "flow/cos_sim": 0.969930695344324,
715
+ "flow/improvement_ratio": 0.9753037164472553,
716
+ "flow/mag_ratio_mean": 0.9802452540833112,
717
+ "flow/mag_ratio_std": 0.030909983262623827,
718
+ "step": 12288
719
+ },
720
+ {
721
+ "epoch": 0.5793727772389267,
722
+ "grad_norm": 1.1210603713989258,
723
+ "learning_rate": 0.0003922507884228551,
724
+ "loss": 0.5510575175285339,
725
+ "step": 12544
726
+ },
727
+ {
728
+ "epoch": 0.5911967114682924,
729
+ "grad_norm": 0.7037401795387268,
730
+ "learning_rate": 0.00037375735713457723,
731
+ "loss": 0.5481619238853455,
732
+ "step": 12800
733
+ },
734
+ {
735
+ "epoch": 0.6030206456976583,
736
+ "grad_norm": 0.7474592924118042,
737
+ "learning_rate": 0.00035544663676018276,
738
+ "loss": 0.5506067872047424,
739
+ "step": 13056
740
+ },
741
+ {
742
+ "epoch": 0.6148445799270241,
743
+ "grad_norm": 0.7188865542411804,
744
+ "learning_rate": 0.00033734512839611255,
745
+ "loss": 0.5451632738113403,
746
+ "step": 13312
747
+ },
748
+ {
749
+ "epoch": 0.6148445799270241,
750
+ "eval_bleu": 0.9428834105382213,
751
+ "eval_ce_loss": 0.1552433374967239,
752
+ "eval_cos_loss": 0.02893113123771807,
753
+ "eval_loss": 0.5456167366951024,
754
+ "eval_mse_loss": 0.3870963177316265,
755
+ "eval_rec_loss": 0.0003839662346667844,
756
+ "flow/cos_sim": 0.9710688916243375,
757
+ "flow/improvement_ratio": 0.9738836331998921,
758
+ "flow/mag_ratio_mean": 0.9706440245451993,
759
+ "flow/mag_ratio_std": 0.029164127312328446,
760
+ "step": 13312
761
+ },
762
+ {
763
+ "epoch": 0.6148445799270241,
764
+ "eval_bleu": 0.9428834105382213,
765
+ "eval_ce_loss": 0.1552433374967239,
766
+ "eval_cos_loss": 0.02893113123771807,
767
+ "eval_loss": 0.5456167366951024,
768
+ "eval_mse_loss": 0.3870963177316265,
769
+ "eval_rec_loss": 0.0003839662346667844,
770
+ "eval_runtime": 141.1326,
771
+ "eval_samples_per_second": 198.345,
772
+ "eval_steps_per_second": 3.103,
773
+ "flow/cos_sim": 0.9710688916243375,
774
+ "flow/improvement_ratio": 0.9738836331998921,
775
+ "flow/mag_ratio_mean": 0.9706440245451993,
776
+ "flow/mag_ratio_std": 0.029164127312328446,
777
+ "step": 13312
778
+ },
779
+ {
780
+ "epoch": 0.62666851415639,
781
+ "grad_norm": 0.7716706991195679,
782
+ "learning_rate": 0.0003194790303463687,
783
+ "loss": 0.537281334400177,
784
+ "step": 13568
785
+ },
786
+ {
787
+ "epoch": 0.6384924483857558,
788
+ "grad_norm": 1.332189917564392,
789
+ "learning_rate": 0.00030187420020572406,
790
+ "loss": 0.5493588447570801,
791
+ "step": 13824
792
+ },
793
+ {
794
+ "epoch": 0.6503163826151217,
795
+ "grad_norm": 0.7042582035064697,
796
+ "learning_rate": 0.00028455611743603626,
797
+ "loss": 0.5357389450073242,
798
+ "step": 14080
799
+ },
800
+ {
801
+ "epoch": 0.6621403168444876,
802
+ "grad_norm": 0.9820289611816406,
803
+ "learning_rate": 0.0002675498464898373,
804
+ "loss": 0.5378322601318359,
805
+ "step": 14336
806
+ },
807
+ {
808
+ "epoch": 0.6621403168444876,
809
+ "eval_bleu": 0.9466625254289972,
810
+ "eval_ce_loss": 0.14409655002562421,
811
+ "eval_cos_loss": 0.028247294284097137,
812
+ "eval_loss": 0.5304203147757544,
813
+ "eval_mse_loss": 0.38314900074375274,
814
+ "eval_rec_loss": 0.0003500353127845417,
815
+ "flow/cos_sim": 0.9717527268684074,
816
+ "flow/improvement_ratio": 0.9754393091212669,
817
+ "flow/mag_ratio_mean": 0.973318548915593,
818
+ "flow/mag_ratio_std": 0.028512526988200674,
819
+ "step": 14336
820
+ },
821
+ {
822
+ "epoch": 0.6621403168444876,
823
+ "eval_bleu": 0.9466625254289972,
824
+ "eval_ce_loss": 0.14409655002562421,
825
+ "eval_cos_loss": 0.028247294284097137,
826
+ "eval_loss": 0.5304203147757544,
827
+ "eval_mse_loss": 0.38314900074375274,
828
+ "eval_rec_loss": 0.0003500353127845417,
829
+ "eval_runtime": 142.684,
830
+ "eval_samples_per_second": 196.189,
831
+ "eval_steps_per_second": 3.07,
832
+ "flow/cos_sim": 0.9717527268684074,
833
+ "flow/improvement_ratio": 0.9754393091212669,
834
+ "flow/mag_ratio_mean": 0.973318548915593,
835
+ "flow/mag_ratio_std": 0.028512526988200674,
836
+ "step": 14336
837
+ },
838
+ {
839
+ "epoch": 0.6739642510738534,
840
+ "grad_norm": 0.9396564364433289,
841
+ "learning_rate": 0.0002508800005345623,
842
+ "loss": 0.5384619832038879,
843
+ "step": 14592
844
+ },
845
+ {
846
+ "epoch": 0.6857881853032193,
847
+ "grad_norm": 1.3034203052520752,
848
+ "learning_rate": 0.00023457070582992562,
849
+ "loss": 0.5381016135215759,
850
+ "step": 14848
851
+ },
852
+ {
853
+ "epoch": 0.6976121195325851,
854
+ "grad_norm": 0.7913278341293335,
855
+ "learning_rate": 0.00021864556680999692,
856
+ "loss": 0.5290021896362305,
857
+ "step": 15104
858
+ },
859
+ {
860
+ "epoch": 0.709436053761951,
861
+ "grad_norm": 0.9535462856292725,
862
+ "learning_rate": 0.0002031276319205152,
863
+ "loss": 0.534302830696106,
864
+ "step": 15360
865
+ },
866
+ {
867
+ "epoch": 0.709436053761951,
868
+ "eval_bleu": 0.9467887438059129,
869
+ "eval_ce_loss": 0.14362057716241233,
870
+ "eval_cos_loss": 0.02781058812607505,
871
+ "eval_loss": 0.5298489093372266,
872
+ "eval_mse_loss": 0.38311818289702343,
873
+ "eval_rec_loss": 0.00032909089600148805,
874
+ "flow/cos_sim": 0.9721894303685454,
875
+ "flow/improvement_ratio": 0.974593520844908,
876
+ "flow/mag_ratio_mean": 0.9698141316572825,
877
+ "flow/mag_ratio_std": 0.02832854554465372,
878
+ "step": 15360
879
+ },
880
+ {
881
+ "epoch": 0.709436053761951,
882
+ "eval_bleu": 0.9467887438059129,
883
+ "eval_ce_loss": 0.14362057716241233,
884
+ "eval_cos_loss": 0.02781058812607505,
885
+ "eval_loss": 0.5298489093372266,
886
+ "eval_mse_loss": 0.38311818289702343,
887
+ "eval_rec_loss": 0.00032909089600148805,
888
+ "eval_runtime": 141.9779,
889
+ "eval_samples_per_second": 197.164,
890
+ "eval_steps_per_second": 3.085,
891
+ "flow/cos_sim": 0.9721894303685454,
892
+ "flow/improvement_ratio": 0.974593520844908,
893
+ "flow/mag_ratio_mean": 0.9698141316572825,
894
+ "flow/mag_ratio_std": 0.02832854554465372,
895
+ "step": 15360
896
+ },
897
+ {
898
+ "epoch": 0.7212599879913169,
899
+ "grad_norm": 1.166203498840332,
900
+ "learning_rate": 0.00018803936026088542,
901
+ "loss": 0.5372992157936096,
902
+ "step": 15616
903
+ },
904
+ {
905
+ "epoch": 0.7330839222206826,
906
+ "grad_norm": 0.680036187171936,
907
+ "learning_rate": 0.00017340258907913464,
908
+ "loss": 0.5294012427330017,
909
+ "step": 15872
910
+ },
911
+ {
912
+ "epoch": 0.7449078564500485,
913
+ "grad_norm": 0.9234224557876587,
914
+ "learning_rate": 0.0001592385021668743,
915
+ "loss": 0.5280483365058899,
916
+ "step": 16128
917
+ },
918
+ {
919
+ "epoch": 0.7567317906794143,
920
+ "grad_norm": 0.5577458143234253,
921
+ "learning_rate": 0.0001455675992000087,
922
+ "loss": 0.5254612565040588,
923
+ "step": 16384
924
+ },
925
+ {
926
+ "epoch": 0.7567317906794143,
927
+ "eval_bleu": 0.9468602186307591,
928
+ "eval_ce_loss": 0.14493907943525305,
929
+ "eval_cos_loss": 0.02707055039261574,
930
+ "eval_loss": 0.5237992950906493,
931
+ "eval_mse_loss": 0.3758493047462751,
932
+ "eval_rec_loss": 0.0003038546178997845,
933
+ "flow/cos_sim": 0.9729294719761366,
934
+ "flow/improvement_ratio": 0.973685168376252,
935
+ "flow/mag_ratio_mean": 0.9726752847024839,
936
+ "flow/mag_ratio_std": 0.027780976707804692,
937
+ "step": 16384
938
+ },
939
+ {
940
+ "epoch": 0.7567317906794143,
941
+ "eval_bleu": 0.9468602186307591,
942
+ "eval_ce_loss": 0.14493907943525305,
943
+ "eval_cos_loss": 0.02707055039261574,
944
+ "eval_loss": 0.5237992950906493,
945
+ "eval_mse_loss": 0.3758493047462751,
946
+ "eval_rec_loss": 0.0003038546178997845,
947
+ "eval_runtime": 140.7943,
948
+ "eval_samples_per_second": 198.822,
949
+ "eval_steps_per_second": 3.111,
950
+ "flow/cos_sim": 0.9729294719761366,
951
+ "flow/improvement_ratio": 0.973685168376252,
952
+ "flow/mag_ratio_mean": 0.9726752847024839,
953
+ "flow/mag_ratio_std": 0.027780976707804692,
954
+ "step": 16384
955
+ },
956
+ {
957
+ "epoch": 0.7685557249087802,
958
+ "grad_norm": 0.8009036183357239,
959
+ "learning_rate": 0.000132409666069565,
960
+ "loss": 0.5322057604789734,
961
+ "step": 16640
962
+ },
963
+ {
964
+ "epoch": 0.780379659138146,
965
+ "grad_norm": 0.6748128533363342,
966
+ "learning_rate": 0.0001197837462455823,
967
+ "loss": 0.5214697122573853,
968
+ "step": 16896
969
+ },
970
+ {
971
+ "epoch": 0.7922035933675119,
972
+ "grad_norm": 0.7658010721206665,
973
+ "learning_rate": 0.00010770811321550749,
974
+ "loss": 0.5286998152732849,
975
+ "step": 17152
976
+ },
977
+ {
978
+ "epoch": 0.8040275275968778,
979
+ "grad_norm": 0.5736948251724243,
980
+ "learning_rate": 9.620024403698591e-05,
981
+ "loss": 0.5214908719062805,
982
+ "step": 17408
983
+ },
984
+ {
985
+ "epoch": 0.8040275275968778,
986
+ "eval_bleu": 0.948350634408102,
987
+ "eval_ce_loss": 0.14080016752683716,
988
+ "eval_cos_loss": 0.026696765510424905,
989
+ "eval_loss": 0.5200121607546393,
990
+ "eval_mse_loss": 0.376244425229286,
991
+ "eval_rec_loss": 0.0002978921058880363,
992
+ "flow/cos_sim": 0.9733032600520408,
993
+ "flow/improvement_ratio": 0.9736276209082233,
994
+ "flow/mag_ratio_mean": 0.9732105514230249,
995
+ "flow/mag_ratio_std": 0.026509021974453643,
996
+ "step": 17408
997
+ },
998
+ {
999
+ "epoch": 0.8040275275968778,
1000
+ "eval_bleu": 0.948350634408102,
1001
+ "eval_ce_loss": 0.14080016752683716,
1002
+ "eval_cos_loss": 0.026696765510424905,
1003
+ "eval_loss": 0.5200121607546393,
1004
+ "eval_mse_loss": 0.376244425229286,
1005
+ "eval_rec_loss": 0.0002978921058880363,
1006
+ "eval_runtime": 137.086,
1007
+ "eval_samples_per_second": 204.2,
1008
+ "eval_steps_per_second": 3.195,
1009
+ "flow/cos_sim": 0.9733032600520408,
1010
+ "flow/improvement_ratio": 0.9736276209082233,
1011
+ "flow/mag_ratio_mean": 0.9732105514230249,
1012
+ "flow/mag_ratio_std": 0.026509021974453643,
1013
+ "step": 17408
1014
+ },
1015
+ {
1016
+ "epoch": 0.8158514618262436,
1017
+ "grad_norm": 0.6039397716522217,
1018
+ "learning_rate": 8.527679404332429e-05,
1019
+ "loss": 0.5255972743034363,
1020
+ "step": 17664
1021
+ },
1022
+ {
1023
+ "epoch": 0.8276753960556095,
1024
+ "grad_norm": 1.0883451700210571,
1025
+ "learning_rate": 7.495357273823544e-05,
1026
+ "loss": 0.5231367945671082,
1027
+ "step": 17920
1028
+ },
1029
+ {
1030
+ "epoch": 0.8394993302849753,
1031
+ "grad_norm": 0.3724399507045746,
1032
+ "learning_rate": 6.524552091475183e-05,
1033
+ "loss": 0.5266908407211304,
1034
+ "step": 18176
1035
+ },
1036
+ {
1037
+ "epoch": 0.8513232645143411,
1038
+ "grad_norm": 0.3941514492034912,
1039
+ "learning_rate": 5.6166689031422024e-05,
1040
+ "loss": 0.5180824995040894,
1041
+ "step": 18432
1042
+ },
1043
+ {
1044
+ "epoch": 0.8513232645143411,
1045
+ "eval_bleu": 0.9467447541733104,
1046
+ "eval_ce_loss": 0.1435550620107482,
1047
+ "eval_cos_loss": 0.02619143634541258,
1048
+ "eval_loss": 0.5194047569684243,
1049
+ "eval_mse_loss": 0.37294159108373126,
1050
+ "eval_rec_loss": 0.00028896017086161376,
1051
+ "flow/cos_sim": 0.9738085748942475,
1052
+ "flow/improvement_ratio": 0.9747573595885273,
1053
+ "flow/mag_ratio_mean": 0.9740554780176242,
1054
+ "flow/mag_ratio_std": 0.026061207966105036,
1055
+ "step": 18432
1056
+ },
1057
+ {
1058
+ "epoch": 0.8513232645143411,
1059
+ "eval_bleu": 0.9467447541733104,
1060
+ "eval_ce_loss": 0.1435550620107482,
1061
+ "eval_cos_loss": 0.02619143634541258,
1062
+ "eval_loss": 0.5194047569684243,
1063
+ "eval_mse_loss": 0.37294159108373126,
1064
+ "eval_rec_loss": 0.00028896017086161376,
1065
+ "eval_runtime": 136.3481,
1066
+ "eval_samples_per_second": 205.305,
1067
+ "eval_steps_per_second": 3.212,
1068
+ "flow/cos_sim": 0.9738085748942475,
1069
+ "flow/improvement_ratio": 0.9747573595885273,
1070
+ "flow/mag_ratio_mean": 0.9740554780176242,
1071
+ "flow/mag_ratio_std": 0.026061207966105036,
1072
+ "step": 18432
1073
+ },
1074
+ {
1075
+ "epoch": 0.8631471987437069,
1076
+ "grad_norm": 0.40093275904655457,
1077
+ "learning_rate": 4.773021687709067e-05,
1078
+ "loss": 0.5250779390335083,
1079
+ "step": 18688
1080
+ },
1081
+ {
1082
+ "epoch": 0.8749711329730728,
1083
+ "grad_norm": 0.5674493908882141,
1084
+ "learning_rate": 3.994831455368719e-05,
1085
+ "loss": 0.5225125551223755,
1086
+ "step": 18944
1087
+ },
1088
+ {
1089
+ "epoch": 0.8867950672024387,
1090
+ "grad_norm": 0.8459038138389587,
1091
+ "learning_rate": 3.283224480455282e-05,
1092
+ "loss": 0.5206574201583862,
1093
+ "step": 19200
1094
+ },
1095
+ {
1096
+ "epoch": 0.8986190014318045,
1097
+ "grad_norm": 1.060973048210144,
1098
+ "learning_rate": 2.639230671387627e-05,
1099
+ "loss": 0.5247924327850342,
1100
+ "step": 19456
1101
+ },
1102
+ {
1103
+ "epoch": 0.8986190014318045,
1104
+ "eval_bleu": 0.9486079434734231,
1105
+ "eval_ce_loss": 0.13853994834440927,
1106
+ "eval_cos_loss": 0.025941831825224505,
1107
+ "eval_loss": 0.5148694780591416,
1108
+ "eval_mse_loss": 0.37345130469428894,
1109
+ "eval_rec_loss": 0.0002840426253705986,
1110
+ "flow/cos_sim": 0.9740581890763758,
1111
+ "flow/improvement_ratio": 0.9744507467637867,
1112
+ "flow/mag_ratio_mean": 0.9734129519223078,
1113
+ "flow/mag_ratio_std": 0.02599958282338294,
1114
+ "step": 19456
1115
+ },
1116
+ {
1117
+ "epoch": 0.8986190014318045,
1118
+ "eval_bleu": 0.9486079434734231,
1119
+ "eval_ce_loss": 0.13853994834440927,
1120
+ "eval_cos_loss": 0.025941831825224505,
1121
+ "eval_loss": 0.5148694780591416,
1122
+ "eval_mse_loss": 0.37345130469428894,
1123
+ "eval_rec_loss": 0.0002840426253705986,
1124
+ "eval_runtime": 140.2979,
1125
+ "eval_samples_per_second": 199.525,
1126
+ "eval_steps_per_second": 3.122,
1127
+ "flow/cos_sim": 0.9740581890763758,
1128
+ "flow/improvement_ratio": 0.9744507467637867,
1129
+ "flow/mag_ratio_mean": 0.9734129519223078,
1130
+ "flow/mag_ratio_std": 0.02599958282338294,
1131
+ "step": 19456
1132
+ },
1133
+ {
1134
+ "epoch": 0.9104429356611704,
1135
+ "grad_norm": 0.3527430593967438,
1136
+ "learning_rate": 2.063782080083576e-05,
1137
+ "loss": 0.5198665261268616,
1138
+ "step": 19712
1139
+ },
1140
+ {
1141
+ "epoch": 0.9222668698905362,
1142
+ "grad_norm": 0.46062275767326355,
1143
+ "learning_rate": 1.557711553001523e-05,
1144
+ "loss": 0.5256041288375854,
1145
+ "step": 19968
1146
+ },
1147
+ {
1148
+ "epoch": 0.9340908041199021,
1149
+ "grad_norm": 0.9583616852760315,
1150
+ "learning_rate": 1.1217515257622269e-05,
1151
+ "loss": 0.516140878200531,
1152
+ "step": 20224
1153
+ },
1154
+ {
1155
+ "epoch": 0.945914738349268,
1156
+ "grad_norm": 0.7139919400215149,
1157
+ "learning_rate": 7.565329630950746e-06,
1158
+ "loss": 0.5186542272567749,
1159
+ "step": 20480
1160
+ },
1161
+ {
1162
+ "epoch": 0.945914738349268,
1163
+ "eval_bleu": 0.9485153374634909,
1164
+ "eval_ce_loss": 0.13765141409162654,
1165
+ "eval_cos_loss": 0.02590129100058449,
1166
+ "eval_loss": 0.5138408517864741,
1167
+ "eval_mse_loss": 0.37332129526083874,
1168
+ "eval_rec_loss": 0.0002780137035507867,
1169
+ "flow/cos_sim": 0.9740987326184364,
1170
+ "flow/improvement_ratio": 0.9757117430369059,
1171
+ "flow/mag_ratio_mean": 0.9735701433871979,
1172
+ "flow/mag_ratio_std": 0.025602859831904166,
1173
+ "step": 20480
1174
+ },
1175
+ {
1176
+ "epoch": 0.945914738349268,
1177
+ "eval_bleu": 0.9485153374634909,
1178
+ "eval_ce_loss": 0.13765141409162654,
1179
+ "eval_cos_loss": 0.02590129100058449,
1180
+ "eval_loss": 0.5138408517864741,
1181
+ "eval_mse_loss": 0.37332129526083874,
1182
+ "eval_rec_loss": 0.0002780137035507867,
1183
+ "eval_runtime": 138.7249,
1184
+ "eval_samples_per_second": 201.788,
1185
+ "eval_steps_per_second": 3.157,
1186
+ "flow/cos_sim": 0.9740987326184364,
1187
+ "flow/improvement_ratio": 0.9757117430369059,
1188
+ "flow/mag_ratio_mean": 0.9735701433871979,
1189
+ "flow/mag_ratio_std": 0.025602859831904166,
1190
+ "step": 20480
1191
+ },
1192
+ {
1193
+ "epoch": 0.9577386725786338,
1194
+ "grad_norm": 1.2376983165740967,
1195
+ "learning_rate": 4.62584445643166e-06,
1196
+ "loss": 0.5240227580070496,
1197
+ "step": 20736
1198
+ },
1199
+ {
1200
+ "epoch": 0.9695626068079997,
1201
+ "grad_norm": 0.4889681339263916,
1202
+ "learning_rate": 2.40331404948807e-06,
1203
+ "loss": 0.5180344581604004,
1204
+ "step": 20992
1205
+ },
1206
+ {
1207
+ "epoch": 0.9813865410373654,
1208
+ "grad_norm": 0.7157400250434875,
1209
+ "learning_rate": 9.009550772663965e-07,
1210
+ "loss": 0.524442732334137,
1211
+ "step": 21248
1212
+ },
1213
+ {
1214
+ "epoch": 0.9932104752667313,
1215
+ "grad_norm": 0.5682675838470459,
1216
+ "learning_rate": 1.2094190315575791e-07,
1217
+ "loss": 0.5158317685127258,
1218
+ "step": 21504
1219
+ },
1220
+ {
1221
+ "epoch": 0.9932104752667313,
1222
+ "eval_bleu": 0.9467953312033218,
1223
+ "eval_ce_loss": 0.1456241611280738,
1224
+ "eval_cos_loss": 0.02587823173856218,
1225
+ "eval_loss": 0.5218313558869165,
1226
+ "eval_mse_loss": 0.37334161799520116,
1227
+ "eval_rec_loss": 0.00027775467464230693,
1228
+ "flow/cos_sim": 0.9741217839663432,
1229
+ "flow/improvement_ratio": 0.9739272290985334,
1230
+ "flow/mag_ratio_mean": 0.9738474734569793,
1231
+ "flow/mag_ratio_std": 0.02575856871205514,
1232
+ "step": 21504
1233
+ },
1234
+ {
1235
+ "epoch": 0.9932104752667313,
1236
+ "eval_bleu": 0.9467953312033218,
1237
+ "eval_ce_loss": 0.1456241611280738,
1238
+ "eval_cos_loss": 0.02587823173856218,
1239
+ "eval_loss": 0.5218313558869165,
1240
+ "eval_mse_loss": 0.37334161799520116,
1241
+ "eval_rec_loss": 0.00027775467464230693,
1242
+ "eval_runtime": 138.272,
1243
+ "eval_samples_per_second": 202.449,
1244
+ "eval_steps_per_second": 3.168,
1245
+ "flow/cos_sim": 0.9741217839663432,
1246
+ "flow/improvement_ratio": 0.9739272290985334,
1247
+ "flow/mag_ratio_mean": 0.9738474734569793,
1248
+ "flow/mag_ratio_std": 0.02575856871205514,
1249
+ "step": 21504
1250
+ }
1251
+ ],
1252
+ "logging_steps": 256,
1253
+ "max_steps": 21651,
1254
+ "num_input_tokens_seen": 0,
1255
+ "num_train_epochs": 1,
1256
+ "save_steps": 1024,
1257
+ "stateful_callbacks": {
1258
+ "TrainerControl": {
1259
+ "args": {
1260
+ "should_epoch_stop": false,
1261
+ "should_evaluate": false,
1262
+ "should_log": false,
1263
+ "should_save": true,
1264
+ "should_training_stop": false
1265
+ },
1266
+ "attributes": {}
1267
+ }
1268
+ },
1269
+ "total_flos": 0.0,
1270
+ "train_batch_size": 64,
1271
+ "trial_name": null,
1272
+ "trial_params": null
1273
+ }
checkpoints-v4.5/checkpoint-21504/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee9cb7ebeac20164f12c8a5bf77bbe01722a7871151494aba288a393bf7de081
3
+ size 5137