ChiefTheLord commited on
Commit
e44c7b2
·
verified ·
1 Parent(s): 4a5e078

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -112,3 +112,4 @@ checkpoints-v2.0a-discrete-condition/checkpoint-20480/eval_state.json filter=lfs
112
  checkpoints-v2.0a-discrete-condition/checkpoint-21651/eval_state.json filter=lfs diff=lfs merge=lfs -text
113
  checkpoints-v2.0b-discrete-condition/checkpoint-8192/eval_state.json filter=lfs diff=lfs merge=lfs -text
114
  checkpoints-v2.0b-discrete-condition/checkpoint-15360/eval_state.json filter=lfs diff=lfs merge=lfs -text
 
 
112
  checkpoints-v2.0a-discrete-condition/checkpoint-21651/eval_state.json filter=lfs diff=lfs merge=lfs -text
113
  checkpoints-v2.0b-discrete-condition/checkpoint-8192/eval_state.json filter=lfs diff=lfs merge=lfs -text
114
  checkpoints-v2.0b-discrete-condition/checkpoint-15360/eval_state.json filter=lfs diff=lfs merge=lfs -text
115
+ checkpoints-v2.0b-discrete-condition/checkpoint-21651/eval_state.json filter=lfs diff=lfs merge=lfs -text
checkpoints-v2.0b-discrete-condition/checkpoint-21651/eval_state.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f6f652497e0a0b5c88ce02c6e1b8bb46c09294f43ba9e638d1f196be9e24d0f1
3
+ size 44280903
checkpoints-v2.0b-discrete-condition/checkpoint-21651/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:620a031be9cdc3099f0b3c553afee563f357ef56b6441aacc2ea98e2b12fd943
3
+ size 15210032
checkpoints-v2.0b-discrete-condition/checkpoint-21651/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:374f3740ea9b5f894d2eb7c887eafdbcf62bd4ab5a996ac6c299dee0d4c24aa0
3
+ size 13675339
checkpoints-v2.0b-discrete-condition/checkpoint-21651/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:031698b2d035b0fc7504393c1960f3c00763dfdfabd9aa2a33d33daf359affa5
3
+ size 14645
checkpoints-v2.0b-discrete-condition/checkpoint-21651/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c747e9fbe7804620d7663267b8a9d0d19e98f5e4b1c1e2d74ba2130e92fa5ce
3
+ size 1383
checkpoints-v2.0b-discrete-condition/checkpoint-21651/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70a493bf8fd6932c4ac60675b60fe483d4684704d3cab9dc59633db8961d91a7
3
+ size 1465
checkpoints-v2.0b-discrete-condition/checkpoint-21651/trainer_state.json ADDED
@@ -0,0 +1,1216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 1024,
7
+ "global_step": 21651,
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": 0.2690356373786926,
15
+ "learning_rate": 0.000498046875,
16
+ "loss": 2.567225456237793,
17
+ "step": 256
18
+ },
19
+ {
20
+ "epoch": 0.023647868458731697,
21
+ "grad_norm": 0.7925965785980225,
22
+ "learning_rate": 0.000998046875,
23
+ "loss": 1.9134947061538696,
24
+ "step": 512
25
+ },
26
+ {
27
+ "epoch": 0.03547180268809755,
28
+ "grad_norm": 1.418247103691101,
29
+ "learning_rate": 0.000999640996023194,
30
+ "loss": 1.630811333656311,
31
+ "step": 768
32
+ },
33
+ {
34
+ "epoch": 0.047295736917463395,
35
+ "grad_norm": 0.8778807520866394,
36
+ "learning_rate": 0.0009985588674043958,
37
+ "loss": 1.502601146697998,
38
+ "step": 1024
39
+ },
40
+ {
41
+ "epoch": 0.047295736917463395,
42
+ "eval_bleu": 0.0009829440445654548,
43
+ "eval_cos0_loss": 0.3603647586689692,
44
+ "eval_cos_loss": 0.3824953237488934,
45
+ "eval_loss": 1.4436643986397137,
46
+ "eval_mse0_loss": 1.4848588544484143,
47
+ "eval_mse_loss": 1.4004915827485525,
48
+ "eval_op_cos_loss": 0.3837161726875392,
49
+ "eval_op_mse_loss": 1.4044482999196335,
50
+ "step": 1024
51
+ },
52
+ {
53
+ "epoch": 0.047295736917463395,
54
+ "eval_bleu": 0.0009829440445654548,
55
+ "eval_cos0_loss": 0.3603647586689692,
56
+ "eval_cos_loss": 0.3824953237488934,
57
+ "eval_loss": 1.4436643986397137,
58
+ "eval_mse0_loss": 1.4848588544484143,
59
+ "eval_mse_loss": 1.4004915827485525,
60
+ "eval_op_cos_loss": 0.3837161726875392,
61
+ "eval_op_mse_loss": 1.4044482999196335,
62
+ "eval_runtime": 624.5636,
63
+ "eval_samples_per_second": 44.82,
64
+ "eval_steps_per_second": 0.701,
65
+ "step": 1024
66
+ },
67
+ {
68
+ "epoch": 0.05911967114682925,
69
+ "grad_norm": 1.361502766609192,
70
+ "learning_rate": 0.0009967551747861387,
71
+ "loss": 1.3899359703063965,
72
+ "step": 1280
73
+ },
74
+ {
75
+ "epoch": 0.0709436053761951,
76
+ "grad_norm": 1.701208472251892,
77
+ "learning_rate": 0.000994232528651847,
78
+ "loss": 1.308840036392212,
79
+ "step": 1536
80
+ },
81
+ {
82
+ "epoch": 0.08276753960556095,
83
+ "grad_norm": 1.2284104824066162,
84
+ "learning_rate": 0.0009909945800260092,
85
+ "loss": 1.2330195903778076,
86
+ "step": 1792
87
+ },
88
+ {
89
+ "epoch": 0.09459147383492679,
90
+ "grad_norm": 2.280683755874634,
91
+ "learning_rate": 0.0009870460151900522,
92
+ "loss": 1.163641095161438,
93
+ "step": 2048
94
+ },
95
+ {
96
+ "epoch": 0.09459147383492679,
97
+ "eval_bleu": 0.008117690959454648,
98
+ "eval_cos0_loss": 0.27556806632645053,
99
+ "eval_cos_loss": 0.33376140804051263,
100
+ "eval_loss": 1.1314381491648007,
101
+ "eval_mse0_loss": 1.0731379844282316,
102
+ "eval_mse_loss": 1.1875404857065035,
103
+ "eval_op_cos_loss": 0.33499729789827515,
104
+ "eval_op_mse_loss": 1.1919361415519019,
105
+ "step": 2048
106
+ },
107
+ {
108
+ "epoch": 0.09459147383492679,
109
+ "eval_bleu": 0.008117690959454648,
110
+ "eval_cos0_loss": 0.27556806632645053,
111
+ "eval_cos_loss": 0.33376140804051263,
112
+ "eval_loss": 1.1314381491648007,
113
+ "eval_mse0_loss": 1.0731379844282316,
114
+ "eval_mse_loss": 1.1875404857065035,
115
+ "eval_op_cos_loss": 0.33499729789827515,
116
+ "eval_op_mse_loss": 1.1919361415519019,
117
+ "eval_runtime": 617.7053,
118
+ "eval_samples_per_second": 45.318,
119
+ "eval_steps_per_second": 0.709,
120
+ "step": 2048
121
+ },
122
+ {
123
+ "epoch": 0.10641540806429264,
124
+ "grad_norm": 1.2745862007141113,
125
+ "learning_rate": 0.0009823925488998885,
126
+ "loss": 1.109260082244873,
127
+ "step": 2304
128
+ },
129
+ {
130
+ "epoch": 0.1182393422936585,
131
+ "grad_norm": 1.4149446487426758,
132
+ "learning_rate": 0.0009770409161149525,
133
+ "loss": 1.0698601007461548,
134
+ "step": 2560
135
+ },
136
+ {
137
+ "epoch": 0.13006327652302435,
138
+ "grad_norm": 1.6209443807601929,
139
+ "learning_rate": 0.0009709988622506973,
140
+ "loss": 1.0396567583084106,
141
+ "step": 2816
142
+ },
143
+ {
144
+ "epoch": 0.1418872107523902,
145
+ "grad_norm": 1.2111774682998657,
146
+ "learning_rate": 0.000964275131968659,
147
+ "loss": 1.0121068954467773,
148
+ "step": 3072
149
+ },
150
+ {
151
+ "epoch": 0.1418872107523902,
152
+ "eval_bleu": 0.033563816480858176,
153
+ "eval_cos0_loss": 0.241996217672139,
154
+ "eval_cos_loss": 0.30742351520279226,
155
+ "eval_loss": 1.0054655975947098,
156
+ "eval_mse0_loss": 0.9265603099239471,
157
+ "eval_mse_loss": 1.0819748758453211,
158
+ "eval_op_cos_loss": 0.3086226877148293,
159
+ "eval_op_mse_loss": 1.0867668872010219,
160
+ "step": 3072
161
+ },
162
+ {
163
+ "epoch": 0.1418872107523902,
164
+ "eval_bleu": 0.033563816480858176,
165
+ "eval_cos0_loss": 0.241996217672139,
166
+ "eval_cos_loss": 0.30742351520279226,
167
+ "eval_loss": 1.0054655975947098,
168
+ "eval_mse0_loss": 0.9265603099239471,
169
+ "eval_mse_loss": 1.0819748758453211,
170
+ "eval_op_cos_loss": 0.3086226877148293,
171
+ "eval_op_mse_loss": 1.0867668872010219,
172
+ "eval_runtime": 620.9592,
173
+ "eval_samples_per_second": 45.08,
174
+ "eval_steps_per_second": 0.705,
175
+ "step": 3072
176
+ },
177
+ {
178
+ "epoch": 0.15371114498175603,
179
+ "grad_norm": 1.7128350734710693,
180
+ "learning_rate": 0.0009568794565203123,
181
+ "loss": 0.9933720827102661,
182
+ "step": 3328
183
+ },
184
+ {
185
+ "epoch": 0.1655350792111219,
186
+ "grad_norm": 2.8741519451141357,
187
+ "learning_rate": 0.0009488225396630347,
188
+ "loss": 0.967034101486206,
189
+ "step": 3584
190
+ },
191
+ {
192
+ "epoch": 0.17735901344048774,
193
+ "grad_norm": 2.0762879848480225,
194
+ "learning_rate": 0.0009401160421685646,
195
+ "loss": 0.9411672949790955,
196
+ "step": 3840
197
+ },
198
+ {
199
+ "epoch": 0.18918294766985358,
200
+ "grad_norm": 1.4471893310546875,
201
+ "learning_rate": 0.0009307725649463714,
202
+ "loss": 0.9228276014328003,
203
+ "step": 4096
204
+ },
205
+ {
206
+ "epoch": 0.18918294766985358,
207
+ "eval_bleu": 0.052020585783013364,
208
+ "eval_cos0_loss": 0.21095720705784618,
209
+ "eval_cos_loss": 0.28916995336203816,
210
+ "eval_loss": 0.908736090137534,
211
+ "eval_mse0_loss": 0.8035404923027509,
212
+ "eval_mse_loss": 1.011488009261214,
213
+ "eval_op_cos_loss": 0.29041639147283826,
214
+ "eval_op_mse_loss": 1.0163753615122408,
215
+ "step": 4096
216
+ },
217
+ {
218
+ "epoch": 0.18918294766985358,
219
+ "eval_bleu": 0.052020585783013364,
220
+ "eval_cos0_loss": 0.21095720705784618,
221
+ "eval_cos_loss": 0.28916995336203816,
222
+ "eval_loss": 0.908736090137534,
223
+ "eval_mse0_loss": 0.8035404923027509,
224
+ "eval_mse_loss": 1.011488009261214,
225
+ "eval_op_cos_loss": 0.29041639147283826,
226
+ "eval_op_mse_loss": 1.0163753615122408,
227
+ "eval_runtime": 621.6523,
228
+ "eval_samples_per_second": 45.03,
229
+ "eval_steps_per_second": 0.705,
230
+ "step": 4096
231
+ },
232
+ {
233
+ "epoch": 0.20100688189921945,
234
+ "grad_norm": 2.4271538257598877,
235
+ "learning_rate": 0.0009208056308063659,
236
+ "loss": 0.9052898287773132,
237
+ "step": 4352
238
+ },
239
+ {
240
+ "epoch": 0.2128308161285853,
241
+ "grad_norm": 3.4062352180480957,
242
+ "learning_rate": 0.0009102296648873445,
243
+ "loss": 0.886395275592804,
244
+ "step": 4608
245
+ },
246
+ {
247
+ "epoch": 0.22465475035795113,
248
+ "grad_norm": 3.1074397563934326,
249
+ "learning_rate": 0.0008990599737794927,
250
+ "loss": 0.8743802905082703,
251
+ "step": 4864
252
+ },
253
+ {
254
+ "epoch": 0.236478684587317,
255
+ "grad_norm": 3.4324328899383545,
256
+ "learning_rate": 0.0008873127233711644,
257
+ "loss": 0.8594736456871033,
258
+ "step": 5120
259
+ },
260
+ {
261
+ "epoch": 0.236478684587317,
262
+ "eval_bleu": 0.07926506450551825,
263
+ "eval_cos0_loss": 0.20024654759119634,
264
+ "eval_cos_loss": 0.2791197347926767,
265
+ "eval_loss": 0.8700207179267657,
266
+ "eval_mse0_loss": 0.7612610093262642,
267
+ "eval_mse_loss": 0.9762748075674658,
268
+ "eval_op_cos_loss": 0.28037585025508655,
269
+ "eval_op_mse_loss": 0.9812860469839889,
270
+ "step": 5120
271
+ },
272
+ {
273
+ "epoch": 0.236478684587317,
274
+ "eval_bleu": 0.07926506450551825,
275
+ "eval_cos0_loss": 0.20024654759119634,
276
+ "eval_cos_loss": 0.2791197347926767,
277
+ "eval_loss": 0.8700207179267657,
278
+ "eval_mse0_loss": 0.7612610093262642,
279
+ "eval_mse_loss": 0.9762748075674658,
280
+ "eval_op_cos_loss": 0.28037585025508655,
281
+ "eval_op_mse_loss": 0.9812860469839889,
282
+ "eval_runtime": 621.0342,
283
+ "eval_samples_per_second": 45.075,
284
+ "eval_steps_per_second": 0.705,
285
+ "step": 5120
286
+ },
287
+ {
288
+ "epoch": 0.24830261881668284,
289
+ "grad_norm": 2.9458811283111572,
290
+ "learning_rate": 0.0008750049154520011,
291
+ "loss": 0.8498503565788269,
292
+ "step": 5376
293
+ },
294
+ {
295
+ "epoch": 0.2601265530460487,
296
+ "grad_norm": 3.388106107711792,
297
+ "learning_rate": 0.0008621543631062487,
298
+ "loss": 0.84010249376297,
299
+ "step": 5632
300
+ },
301
+ {
302
+ "epoch": 0.27195048727541454,
303
+ "grad_norm": 1.273484468460083,
304
+ "learning_rate": 0.0008487796649318904,
305
+ "loss": 0.8293308019638062,
306
+ "step": 5888
307
+ },
308
+ {
309
+ "epoch": 0.2837744215047804,
310
+ "grad_norm": 2.749922037124634,
311
+ "learning_rate": 0.0008349001781229053,
312
+ "loss": 0.8250018954277039,
313
+ "step": 6144
314
+ },
315
+ {
316
+ "epoch": 0.2837744215047804,
317
+ "eval_bleu": 0.1064852589300246,
318
+ "eval_cos0_loss": 0.18931846756096846,
319
+ "eval_cos_loss": 0.26743964381413915,
320
+ "eval_loss": 0.8231828152861225,
321
+ "eval_mse0_loss": 0.7119000969139953,
322
+ "eval_mse_loss": 0.9318836630751554,
323
+ "eval_op_cos_loss": 0.26869444518464886,
324
+ "eval_op_mse_loss": 0.9370474062825991,
325
+ "step": 6144
326
+ },
327
+ {
328
+ "epoch": 0.2837744215047804,
329
+ "eval_bleu": 0.1064852589300246,
330
+ "eval_cos0_loss": 0.18931846756096846,
331
+ "eval_cos_loss": 0.26743964381413915,
332
+ "eval_loss": 0.8231828152861225,
333
+ "eval_mse0_loss": 0.7119000969139953,
334
+ "eval_mse_loss": 0.9318836630751554,
335
+ "eval_op_cos_loss": 0.26869444518464886,
336
+ "eval_op_mse_loss": 0.9370474062825991,
337
+ "eval_runtime": 623.4472,
338
+ "eval_samples_per_second": 44.9,
339
+ "eval_steps_per_second": 0.703,
340
+ "step": 6144
341
+ },
342
+ {
343
+ "epoch": 0.2955983557341462,
344
+ "grad_norm": 1.9564300775527954,
345
+ "learning_rate": 0.0008205359904536107,
346
+ "loss": 0.8172543048858643,
347
+ "step": 6400
348
+ },
349
+ {
350
+ "epoch": 0.30742228996351206,
351
+ "grad_norm": 2.69132661819458,
352
+ "learning_rate": 0.0008057078912056363,
353
+ "loss": 0.8127719163894653,
354
+ "step": 6656
355
+ },
356
+ {
357
+ "epoch": 0.3192462241928779,
358
+ "grad_norm": 1.2459280490875244,
359
+ "learning_rate": 0.0007904373410796086,
360
+ "loss": 0.8043445348739624,
361
+ "step": 6912
362
+ },
363
+ {
364
+ "epoch": 0.3310701584222438,
365
+ "grad_norm": 1.679030179977417,
366
+ "learning_rate": 0.0007747464411350876,
367
+ "loss": 0.7973858714103699,
368
+ "step": 7168
369
+ },
370
+ {
371
+ "epoch": 0.3310701584222438,
372
+ "eval_bleu": 0.11764582579657883,
373
+ "eval_cos0_loss": 0.18387672284694567,
374
+ "eval_cos_loss": 0.25816574287877236,
375
+ "eval_loss": 0.7918145169406177,
376
+ "eval_mse0_loss": 0.6911438315698545,
377
+ "eval_mse_loss": 0.8898210989557989,
378
+ "eval_op_cos_loss": 0.25947807440066445,
379
+ "eval_op_mse_loss": 0.8951493017205364,
380
+ "step": 7168
381
+ },
382
+ {
383
+ "epoch": 0.3310701584222438,
384
+ "eval_bleu": 0.11764582579657883,
385
+ "eval_cos0_loss": 0.18387672284694567,
386
+ "eval_cos_loss": 0.25816574287877236,
387
+ "eval_loss": 0.7918145169406177,
388
+ "eval_mse0_loss": 0.6911438315698545,
389
+ "eval_mse_loss": 0.8898210989557989,
390
+ "eval_op_cos_loss": 0.25947807440066445,
391
+ "eval_op_mse_loss": 0.8951493017205364,
392
+ "eval_runtime": 626.051,
393
+ "eval_samples_per_second": 44.714,
394
+ "eval_steps_per_second": 0.7,
395
+ "step": 7168
396
+ },
397
+ {
398
+ "epoch": 0.34289409265160964,
399
+ "grad_norm": 2.451791763305664,
400
+ "learning_rate": 0.000758657900803716,
401
+ "loss": 0.7910720109939575,
402
+ "step": 7424
403
+ },
404
+ {
405
+ "epoch": 0.3547180268809755,
406
+ "grad_norm": 2.0209128856658936,
407
+ "learning_rate": 0.000742195005021869,
408
+ "loss": 0.7846375703811646,
409
+ "step": 7680
410
+ },
411
+ {
412
+ "epoch": 0.3665419611103413,
413
+ "grad_norm": 2.341242551803589,
414
+ "learning_rate": 0.0007253815805303786,
415
+ "loss": 0.7798209190368652,
416
+ "step": 7936
417
+ },
418
+ {
419
+ "epoch": 0.37836589533970716,
420
+ "grad_norm": 4.772252082824707,
421
+ "learning_rate": 0.0007082419613901028,
422
+ "loss": 0.7740265130996704,
423
+ "step": 8192
424
+ },
425
+ {
426
+ "epoch": 0.37836589533970716,
427
+ "eval_bleu": 0.11939785091250239,
428
+ "eval_cos0_loss": 0.18091393731636543,
429
+ "eval_cos_loss": 0.254198662732562,
430
+ "eval_loss": 0.7796027199046253,
431
+ "eval_mse0_loss": 0.680223688143029,
432
+ "eval_mse_loss": 0.8762989998135937,
433
+ "eval_op_cos_loss": 0.25553356053214094,
434
+ "eval_op_mse_loss": 0.881664497122917,
435
+ "step": 8192
436
+ },
437
+ {
438
+ "epoch": 0.37836589533970716,
439
+ "eval_bleu": 0.11939785091250239,
440
+ "eval_cos0_loss": 0.18091393731636543,
441
+ "eval_cos_loss": 0.254198662732562,
442
+ "eval_loss": 0.7796027199046253,
443
+ "eval_mse0_loss": 0.680223688143029,
444
+ "eval_mse_loss": 0.8762989998135937,
445
+ "eval_op_cos_loss": 0.25553356053214094,
446
+ "eval_op_mse_loss": 0.881664497122917,
447
+ "eval_runtime": 624.2884,
448
+ "eval_samples_per_second": 44.84,
449
+ "eval_steps_per_second": 0.702,
450
+ "step": 8192
451
+ },
452
+ {
453
+ "epoch": 0.390189829569073,
454
+ "grad_norm": 2.841437339782715,
455
+ "learning_rate": 0.0006908009537632514,
456
+ "loss": 0.7711653113365173,
457
+ "step": 8448
458
+ },
459
+ {
460
+ "epoch": 0.4020137637984389,
461
+ "grad_norm": 0.9838259816169739,
462
+ "learning_rate": 0.0006730838000114403,
463
+ "loss": 0.7693042755126953,
464
+ "step": 8704
465
+ },
466
+ {
467
+ "epoch": 0.41383769802780473,
468
+ "grad_norm": 0.9974409937858582,
469
+ "learning_rate": 0.0006551161421624341,
470
+ "loss": 0.7617323994636536,
471
+ "step": 8960
472
+ },
473
+ {
474
+ "epoch": 0.4256616322571706,
475
+ "grad_norm": 1.763875126838684,
476
+ "learning_rate": 0.0006369239847984517,
477
+ "loss": 0.7581734657287598,
478
+ "step": 9216
479
+ },
480
+ {
481
+ "epoch": 0.4256616322571706,
482
+ "eval_bleu": 0.13561947866145418,
483
+ "eval_cos0_loss": 0.17714670307287886,
484
+ "eval_cos_loss": 0.24925356851593,
485
+ "eval_loss": 0.7624340608511886,
486
+ "eval_mse0_loss": 0.664543849284246,
487
+ "eval_mse_loss": 0.8575849496338466,
488
+ "eval_op_cos_loss": 0.2506045452467927,
489
+ "eval_op_mse_loss": 0.8630635990127581,
490
+ "step": 9216
491
+ },
492
+ {
493
+ "epoch": 0.4256616322571706,
494
+ "eval_bleu": 0.13561947866145418,
495
+ "eval_cos0_loss": 0.17714670307287886,
496
+ "eval_cos_loss": 0.24925356851593,
497
+ "eval_loss": 0.7624340608511886,
498
+ "eval_mse0_loss": 0.664543849284246,
499
+ "eval_mse_loss": 0.8575849496338466,
500
+ "eval_op_cos_loss": 0.2506045452467927,
501
+ "eval_op_mse_loss": 0.8630635990127581,
502
+ "eval_runtime": 641.0279,
503
+ "eval_samples_per_second": 43.669,
504
+ "eval_steps_per_second": 0.683,
505
+ "step": 9216
506
+ },
507
+ {
508
+ "epoch": 0.4374855664865364,
509
+ "grad_norm": 1.7327455282211304,
510
+ "learning_rate": 0.0006185336574197479,
511
+ "loss": 0.7516188621520996,
512
+ "step": 9472
513
+ },
514
+ {
515
+ "epoch": 0.44930950071590225,
516
+ "grad_norm": 1.642829418182373,
517
+ "learning_rate": 0.0005999717763379407,
518
+ "loss": 0.7503851056098938,
519
+ "step": 9728
520
+ },
521
+ {
522
+ "epoch": 0.4611334349452681,
523
+ "grad_norm": 1.244384765625,
524
+ "learning_rate": 0.0005812652061542363,
525
+ "loss": 0.7449800968170166,
526
+ "step": 9984
527
+ },
528
+ {
529
+ "epoch": 0.472957369174634,
530
+ "grad_norm": 0.8096818923950195,
531
+ "learning_rate": 0.0005624410208783071,
532
+ "loss": 0.7398213148117065,
533
+ "step": 10240
534
+ },
535
+ {
536
+ "epoch": 0.472957369174634,
537
+ "eval_bleu": 0.14802557872775604,
538
+ "eval_cos0_loss": 0.17145923164473276,
539
+ "eval_cos_loss": 0.24269084288785447,
540
+ "eval_loss": 0.7362960164677607,
541
+ "eval_mse0_loss": 0.6412733903486435,
542
+ "eval_mse_loss": 0.8284871681640137,
543
+ "eval_op_cos_loss": 0.24404011319761407,
544
+ "eval_op_mse_loss": 0.8341501227252559,
545
+ "step": 10240
546
+ },
547
+ {
548
+ "epoch": 0.472957369174634,
549
+ "eval_bleu": 0.14802557872775604,
550
+ "eval_cos0_loss": 0.17145923164473276,
551
+ "eval_cos_loss": 0.24269084288785447,
552
+ "eval_loss": 0.7362960164677607,
553
+ "eval_mse0_loss": 0.6412733903486435,
554
+ "eval_mse_loss": 0.8284871681640137,
555
+ "eval_op_cos_loss": 0.24404011319761407,
556
+ "eval_op_mse_loss": 0.8341501227252559,
557
+ "eval_runtime": 636.3818,
558
+ "eval_samples_per_second": 43.988,
559
+ "eval_steps_per_second": 0.688,
560
+ "step": 10240
561
+ },
562
+ {
563
+ "epoch": 0.48478130340399983,
564
+ "grad_norm": 1.4516924619674683,
565
+ "learning_rate": 0.0005435264647440881,
566
+ "loss": 0.7356193661689758,
567
+ "step": 10496
568
+ },
569
+ {
570
+ "epoch": 0.49660523763336567,
571
+ "grad_norm": 1.1671243906021118,
572
+ "learning_rate": 0.000524548912779213,
573
+ "loss": 0.731113612651825,
574
+ "step": 10752
575
+ },
576
+ {
577
+ "epoch": 0.5084291718627315,
578
+ "grad_norm": 0.8795217871665955,
579
+ "learning_rate": 0.0005055358311851499,
580
+ "loss": 0.7303516268730164,
581
+ "step": 11008
582
+ },
583
+ {
584
+ "epoch": 0.5202531060920974,
585
+ "grad_norm": 1.0264520645141602,
586
+ "learning_rate": 0.0004865147375853812,
587
+ "loss": 0.7245017290115356,
588
+ "step": 11264
589
+ },
590
+ {
591
+ "epoch": 0.5202531060920974,
592
+ "eval_bleu": 0.15385697418347846,
593
+ "eval_cos0_loss": 0.1683639393753657,
594
+ "eval_cos_loss": 0.23805547740361463,
595
+ "eval_loss": 0.7221763148971888,
596
+ "eval_mse0_loss": 0.6295320896525362,
597
+ "eval_mse_loss": 0.8119698241693244,
598
+ "eval_op_cos_loss": 0.23943006539861905,
599
+ "eval_op_mse_loss": 0.817671249174092,
600
+ "step": 11264
601
+ },
602
+ {
603
+ "epoch": 0.5202531060920974,
604
+ "eval_bleu": 0.15385697418347846,
605
+ "eval_cos0_loss": 0.1683639393753657,
606
+ "eval_cos_loss": 0.23805547740361463,
607
+ "eval_loss": 0.7221763148971888,
608
+ "eval_mse0_loss": 0.6295320896525362,
609
+ "eval_mse_loss": 0.8119698241693244,
610
+ "eval_op_cos_loss": 0.23943006539861905,
611
+ "eval_op_mse_loss": 0.817671249174092,
612
+ "eval_runtime": 635.0392,
613
+ "eval_samples_per_second": 44.081,
614
+ "eval_steps_per_second": 0.69,
615
+ "step": 11264
616
+ },
617
+ {
618
+ "epoch": 0.5320770403214632,
619
+ "grad_norm": 1.1498006582260132,
620
+ "learning_rate": 0.0004675131611991607,
621
+ "loss": 0.7198587656021118,
622
+ "step": 11520
623
+ },
624
+ {
625
+ "epoch": 0.5439009745508291,
626
+ "grad_norm": 0.7187283635139465,
627
+ "learning_rate": 0.0004485586029984899,
628
+ "loss": 0.7185528874397278,
629
+ "step": 11776
630
+ },
631
+ {
632
+ "epoch": 0.5557249087801949,
633
+ "grad_norm": 3.2578821182250977,
634
+ "learning_rate": 0.00042967849590597266,
635
+ "loss": 0.7147178649902344,
636
+ "step": 12032
637
+ },
638
+ {
639
+ "epoch": 0.5675488430095608,
640
+ "grad_norm": 0.9559022784233093,
641
+ "learning_rate": 0.0004109001650911621,
642
+ "loss": 0.7136829495429993,
643
+ "step": 12288
644
+ },
645
+ {
646
+ "epoch": 0.5675488430095608,
647
+ "eval_bleu": 0.15709127331241565,
648
+ "eval_cos0_loss": 0.16574035799258377,
649
+ "eval_cos_loss": 0.2339096010819962,
650
+ "eval_loss": 0.7094371295682916,
651
+ "eval_mse0_loss": 0.6193709444237626,
652
+ "eval_mse_loss": 0.7965604800339703,
653
+ "eval_op_cos_loss": 0.23531686000900182,
654
+ "eval_op_mse_loss": 0.802446152113344,
655
+ "step": 12288
656
+ },
657
+ {
658
+ "epoch": 0.5675488430095608,
659
+ "eval_bleu": 0.15709127331241565,
660
+ "eval_cos0_loss": 0.16574035799258377,
661
+ "eval_cos_loss": 0.2339096010819962,
662
+ "eval_loss": 0.7094371295682916,
663
+ "eval_mse0_loss": 0.6193709444237626,
664
+ "eval_mse_loss": 0.7965604800339703,
665
+ "eval_op_cos_loss": 0.23531686000900182,
666
+ "eval_op_mse_loss": 0.802446152113344,
667
+ "eval_runtime": 634.9136,
668
+ "eval_samples_per_second": 44.089,
669
+ "eval_steps_per_second": 0.69,
670
+ "step": 12288
671
+ },
672
+ {
673
+ "epoch": 0.5793727772389267,
674
+ "grad_norm": 0.8688677549362183,
675
+ "learning_rate": 0.0003922507884228551,
676
+ "loss": 0.7095566987991333,
677
+ "step": 12544
678
+ },
679
+ {
680
+ "epoch": 0.5911967114682924,
681
+ "grad_norm": 1.2830818891525269,
682
+ "learning_rate": 0.00037375735713457723,
683
+ "loss": 0.7053347826004028,
684
+ "step": 12800
685
+ },
686
+ {
687
+ "epoch": 0.6030206456976583,
688
+ "grad_norm": 1.9164239168167114,
689
+ "learning_rate": 0.00035544663676018276,
690
+ "loss": 0.704186737537384,
691
+ "step": 13056
692
+ },
693
+ {
694
+ "epoch": 0.6148445799270241,
695
+ "grad_norm": 1.7377350330352783,
696
+ "learning_rate": 0.00033734512839611255,
697
+ "loss": 0.7017666101455688,
698
+ "step": 13312
699
+ },
700
+ {
701
+ "epoch": 0.6148445799270241,
702
+ "eval_bleu": 0.16868913199894975,
703
+ "eval_cos0_loss": 0.16362416999389048,
704
+ "eval_cos_loss": 0.23251915617620564,
705
+ "eval_loss": 0.701696240602563,
706
+ "eval_mse0_loss": 0.6112470790131451,
707
+ "eval_mse_loss": 0.7891615165150874,
708
+ "eval_op_cos_loss": 0.23392131468748936,
709
+ "eval_op_mse_loss": 0.7951292909987985,
710
+ "step": 13312
711
+ },
712
+ {
713
+ "epoch": 0.6148445799270241,
714
+ "eval_bleu": 0.16868913199894975,
715
+ "eval_cos0_loss": 0.16362416999389048,
716
+ "eval_cos_loss": 0.23251915617620564,
717
+ "eval_loss": 0.701696240602563,
718
+ "eval_mse0_loss": 0.6112470790131451,
719
+ "eval_mse_loss": 0.7891615165150874,
720
+ "eval_op_cos_loss": 0.23392131468748936,
721
+ "eval_op_mse_loss": 0.7951292909987985,
722
+ "eval_runtime": 636.8773,
723
+ "eval_samples_per_second": 43.954,
724
+ "eval_steps_per_second": 0.688,
725
+ "step": 13312
726
+ },
727
+ {
728
+ "epoch": 0.62666851415639,
729
+ "grad_norm": 4.23655366897583,
730
+ "learning_rate": 0.0003194790303463687,
731
+ "loss": 0.6976134777069092,
732
+ "step": 13568
733
+ },
734
+ {
735
+ "epoch": 0.6384924483857558,
736
+ "grad_norm": 0.7764115333557129,
737
+ "learning_rate": 0.00030187420020572406,
738
+ "loss": 0.6969444155693054,
739
+ "step": 13824
740
+ },
741
+ {
742
+ "epoch": 0.6503163826151217,
743
+ "grad_norm": 1.1612268686294556,
744
+ "learning_rate": 0.00028455611743603626,
745
+ "loss": 0.6931793093681335,
746
+ "step": 14080
747
+ },
748
+ {
749
+ "epoch": 0.6621403168444876,
750
+ "grad_norm": 0.970486044883728,
751
+ "learning_rate": 0.0002675498464898373,
752
+ "loss": 0.6915045976638794,
753
+ "step": 14336
754
+ },
755
+ {
756
+ "epoch": 0.6621403168444876,
757
+ "eval_bleu": 0.17463722283289504,
758
+ "eval_cos0_loss": 0.16116628955760504,
759
+ "eval_cos_loss": 0.2291939453175079,
760
+ "eval_loss": 0.6914327684874948,
761
+ "eval_mse0_loss": 0.6017627612640869,
762
+ "eval_mse_loss": 0.7781209033918163,
763
+ "eval_op_cos_loss": 0.23059950115746014,
764
+ "eval_op_mse_loss": 0.7840846474856547,
765
+ "step": 14336
766
+ },
767
+ {
768
+ "epoch": 0.6621403168444876,
769
+ "eval_bleu": 0.17463722283289504,
770
+ "eval_cos0_loss": 0.16116628955760504,
771
+ "eval_cos_loss": 0.2291939453175079,
772
+ "eval_loss": 0.6914327684874948,
773
+ "eval_mse0_loss": 0.6017627612640869,
774
+ "eval_mse_loss": 0.7781209033918163,
775
+ "eval_op_cos_loss": 0.23059950115746014,
776
+ "eval_op_mse_loss": 0.7840846474856547,
777
+ "eval_runtime": 635.4879,
778
+ "eval_samples_per_second": 44.05,
779
+ "eval_steps_per_second": 0.689,
780
+ "step": 14336
781
+ },
782
+ {
783
+ "epoch": 0.6739642510738534,
784
+ "grad_norm": 0.9553900957107544,
785
+ "learning_rate": 0.0002508800005345623,
786
+ "loss": 0.6907013654708862,
787
+ "step": 14592
788
+ },
789
+ {
790
+ "epoch": 0.6857881853032193,
791
+ "grad_norm": 0.900937020778656,
792
+ "learning_rate": 0.00023457070582992562,
793
+ "loss": 0.6890263557434082,
794
+ "step": 14848
795
+ },
796
+ {
797
+ "epoch": 0.6976121195325851,
798
+ "grad_norm": 1.1593620777130127,
799
+ "learning_rate": 0.00021864556680999692,
800
+ "loss": 0.6859737038612366,
801
+ "step": 15104
802
+ },
803
+ {
804
+ "epoch": 0.709436053761951,
805
+ "grad_norm": 1.2470667362213135,
806
+ "learning_rate": 0.0002031276319205152,
807
+ "loss": 0.6826637983322144,
808
+ "step": 15360
809
+ },
810
+ {
811
+ "epoch": 0.709436053761951,
812
+ "eval_bleu": 0.17806020853790655,
813
+ "eval_cos0_loss": 0.15932175193883513,
814
+ "eval_cos_loss": 0.22693043862167558,
815
+ "eval_loss": 0.6834767210429118,
816
+ "eval_mse0_loss": 0.5944504796369979,
817
+ "eval_mse_loss": 0.7694434859709108,
818
+ "eval_op_cos_loss": 0.22835160798678114,
819
+ "eval_op_mse_loss": 0.775562437838071,
820
+ "step": 15360
821
+ },
822
+ {
823
+ "epoch": 0.709436053761951,
824
+ "eval_bleu": 0.17806020853790655,
825
+ "eval_cos0_loss": 0.15932175193883513,
826
+ "eval_cos_loss": 0.22693043862167558,
827
+ "eval_loss": 0.6834767210429118,
828
+ "eval_mse0_loss": 0.5944504796369979,
829
+ "eval_mse_loss": 0.7694434859709108,
830
+ "eval_op_cos_loss": 0.22835160798678114,
831
+ "eval_op_mse_loss": 0.775562437838071,
832
+ "eval_runtime": 636.3715,
833
+ "eval_samples_per_second": 43.988,
834
+ "eval_steps_per_second": 0.688,
835
+ "step": 15360
836
+ },
837
+ {
838
+ "epoch": 0.7212599879913169,
839
+ "grad_norm": 0.9710851907730103,
840
+ "learning_rate": 0.00018803936026088542,
841
+ "loss": 0.6816228032112122,
842
+ "step": 15616
843
+ },
844
+ {
845
+ "epoch": 0.7330839222206826,
846
+ "grad_norm": 0.7932974696159363,
847
+ "learning_rate": 0.00017340258907913464,
848
+ "loss": 0.6800879836082458,
849
+ "step": 15872
850
+ },
851
+ {
852
+ "epoch": 0.7449078564500485,
853
+ "grad_norm": 0.9313244819641113,
854
+ "learning_rate": 0.0001592385021668743,
855
+ "loss": 0.677623450756073,
856
+ "step": 16128
857
+ },
858
+ {
859
+ "epoch": 0.7567317906794143,
860
+ "grad_norm": 0.7504497766494751,
861
+ "learning_rate": 0.0001455675992000087,
862
+ "loss": 0.6776302456855774,
863
+ "step": 16384
864
+ },
865
+ {
866
+ "epoch": 0.7567317906794143,
867
+ "eval_bleu": 0.1840349169111624,
868
+ "eval_cos0_loss": 0.1576695951833028,
869
+ "eval_cos_loss": 0.22468648969991023,
870
+ "eval_loss": 0.6754413573709253,
871
+ "eval_mse0_loss": 0.587967689587101,
872
+ "eval_mse_loss": 0.7598868886085406,
873
+ "eval_op_cos_loss": 0.22610502622034995,
874
+ "eval_op_mse_loss": 0.7659431604762056,
875
+ "step": 16384
876
+ },
877
+ {
878
+ "epoch": 0.7567317906794143,
879
+ "eval_bleu": 0.1840349169111624,
880
+ "eval_cos0_loss": 0.1576695951833028,
881
+ "eval_cos_loss": 0.22468648969991023,
882
+ "eval_loss": 0.6754413573709253,
883
+ "eval_mse0_loss": 0.587967689587101,
884
+ "eval_mse_loss": 0.7598868886085406,
885
+ "eval_op_cos_loss": 0.22610502622034995,
886
+ "eval_op_mse_loss": 0.7659431604762056,
887
+ "eval_runtime": 592.1361,
888
+ "eval_samples_per_second": 47.275,
889
+ "eval_steps_per_second": 0.74,
890
+ "step": 16384
891
+ },
892
+ {
893
+ "epoch": 0.7685557249087802,
894
+ "grad_norm": 0.8778237104415894,
895
+ "learning_rate": 0.000132409666069565,
896
+ "loss": 0.6726434230804443,
897
+ "step": 16640
898
+ },
899
+ {
900
+ "epoch": 0.780379659138146,
901
+ "grad_norm": 1.0196456909179688,
902
+ "learning_rate": 0.0001197837462455823,
903
+ "loss": 0.6718765497207642,
904
+ "step": 16896
905
+ },
906
+ {
907
+ "epoch": 0.7922035933675119,
908
+ "grad_norm": 0.7209889888763428,
909
+ "learning_rate": 0.00010770811321550749,
910
+ "loss": 0.671399712562561,
911
+ "step": 17152
912
+ },
913
+ {
914
+ "epoch": 0.8040275275968778,
915
+ "grad_norm": 0.7410993576049805,
916
+ "learning_rate": 9.620024403698591e-05,
917
+ "loss": 0.671210765838623,
918
+ "step": 17408
919
+ },
920
+ {
921
+ "epoch": 0.8040275275968778,
922
+ "eval_bleu": 0.1886717959007858,
923
+ "eval_cos0_loss": 0.1565227022726242,
924
+ "eval_cos_loss": 0.22315489463338026,
925
+ "eval_loss": 0.6706775726248685,
926
+ "eval_mse0_loss": 0.5836055650286478,
927
+ "eval_mse_loss": 0.7547007320134063,
928
+ "eval_op_cos_loss": 0.22457487874379442,
929
+ "eval_op_mse_loss": 0.7607984341442857,
930
+ "step": 17408
931
+ },
932
+ {
933
+ "epoch": 0.8040275275968778,
934
+ "eval_bleu": 0.1886717959007858,
935
+ "eval_cos0_loss": 0.1565227022726242,
936
+ "eval_cos_loss": 0.22315489463338026,
937
+ "eval_loss": 0.6706775726248685,
938
+ "eval_mse0_loss": 0.5836055650286478,
939
+ "eval_mse_loss": 0.7547007320134063,
940
+ "eval_op_cos_loss": 0.22457487874379442,
941
+ "eval_op_mse_loss": 0.7607984341442857,
942
+ "eval_runtime": 588.0523,
943
+ "eval_samples_per_second": 47.603,
944
+ "eval_steps_per_second": 0.745,
945
+ "step": 17408
946
+ },
947
+ {
948
+ "epoch": 0.8158514618262436,
949
+ "grad_norm": 0.8522108197212219,
950
+ "learning_rate": 8.527679404332429e-05,
951
+ "loss": 0.6695510149002075,
952
+ "step": 17664
953
+ },
954
+ {
955
+ "epoch": 0.8276753960556095,
956
+ "grad_norm": 0.7196120619773865,
957
+ "learning_rate": 7.495357273823544e-05,
958
+ "loss": 0.6697996854782104,
959
+ "step": 17920
960
+ },
961
+ {
962
+ "epoch": 0.8394993302849753,
963
+ "grad_norm": 0.7057328224182129,
964
+ "learning_rate": 6.524552091475183e-05,
965
+ "loss": 0.6694165468215942,
966
+ "step": 18176
967
+ },
968
+ {
969
+ "epoch": 0.8513232645143411,
970
+ "grad_norm": 0.6040672063827515,
971
+ "learning_rate": 5.6166689031422024e-05,
972
+ "loss": 0.6665940284729004,
973
+ "step": 18432
974
+ },
975
+ {
976
+ "epoch": 0.8513232645143411,
977
+ "eval_bleu": 0.19121834366216395,
978
+ "eval_cos0_loss": 0.15590576688040336,
979
+ "eval_cos_loss": 0.22263375186620782,
980
+ "eval_loss": 0.667947496317293,
981
+ "eval_mse0_loss": 0.5812215901673112,
982
+ "eval_mse_loss": 0.7516118535712429,
983
+ "eval_op_cos_loss": 0.22406025043769515,
984
+ "eval_op_mse_loss": 0.7577349534045615,
985
+ "step": 18432
986
+ },
987
+ {
988
+ "epoch": 0.8513232645143411,
989
+ "eval_bleu": 0.19121834366216395,
990
+ "eval_cos0_loss": 0.15590576688040336,
991
+ "eval_cos_loss": 0.22263375186620782,
992
+ "eval_loss": 0.667947496317293,
993
+ "eval_mse0_loss": 0.5812215901673112,
994
+ "eval_mse_loss": 0.7516118535712429,
995
+ "eval_op_cos_loss": 0.22406025043769515,
996
+ "eval_op_mse_loss": 0.7577349534045615,
997
+ "eval_runtime": 587.816,
998
+ "eval_samples_per_second": 47.622,
999
+ "eval_steps_per_second": 0.745,
1000
+ "step": 18432
1001
+ },
1002
+ {
1003
+ "epoch": 0.8631471987437069,
1004
+ "grad_norm": 0.6761173009872437,
1005
+ "learning_rate": 4.773021687709067e-05,
1006
+ "loss": 0.6668224334716797,
1007
+ "step": 18688
1008
+ },
1009
+ {
1010
+ "epoch": 0.8749711329730728,
1011
+ "grad_norm": 0.5916471481323242,
1012
+ "learning_rate": 3.994831455368719e-05,
1013
+ "loss": 0.6652066111564636,
1014
+ "step": 18944
1015
+ },
1016
+ {
1017
+ "epoch": 0.8867950672024387,
1018
+ "grad_norm": 0.5401838421821594,
1019
+ "learning_rate": 3.283224480455282e-05,
1020
+ "loss": 0.6671025156974792,
1021
+ "step": 19200
1022
+ },
1023
+ {
1024
+ "epoch": 0.8986190014318045,
1025
+ "grad_norm": 0.6440165638923645,
1026
+ "learning_rate": 2.639230671387627e-05,
1027
+ "loss": 0.6639235019683838,
1028
+ "step": 19456
1029
+ },
1030
+ {
1031
+ "epoch": 0.8986190014318045,
1032
+ "eval_bleu": 0.1909364136393179,
1033
+ "eval_cos0_loss": 0.1555118853370893,
1034
+ "eval_cos_loss": 0.2215327832456593,
1035
+ "eval_loss": 0.6657468673845405,
1036
+ "eval_mse0_loss": 0.5797921034026908,
1037
+ "eval_mse_loss": 0.7486564839539462,
1038
+ "eval_op_cos_loss": 0.222952307631436,
1039
+ "eval_op_mse_loss": 0.7547467840860967,
1040
+ "step": 19456
1041
+ },
1042
+ {
1043
+ "epoch": 0.8986190014318045,
1044
+ "eval_bleu": 0.1909364136393179,
1045
+ "eval_cos0_loss": 0.1555118853370893,
1046
+ "eval_cos_loss": 0.2215327832456593,
1047
+ "eval_loss": 0.6657468673845405,
1048
+ "eval_mse0_loss": 0.5797921034026908,
1049
+ "eval_mse_loss": 0.7486564839539462,
1050
+ "eval_op_cos_loss": 0.222952307631436,
1051
+ "eval_op_mse_loss": 0.7547467840860967,
1052
+ "eval_runtime": 588.6982,
1053
+ "eval_samples_per_second": 47.551,
1054
+ "eval_steps_per_second": 0.744,
1055
+ "step": 19456
1056
+ },
1057
+ {
1058
+ "epoch": 0.9104429356611704,
1059
+ "grad_norm": 0.6151320338249207,
1060
+ "learning_rate": 2.063782080083576e-05,
1061
+ "loss": 0.6646709442138672,
1062
+ "step": 19712
1063
+ },
1064
+ {
1065
+ "epoch": 0.9222668698905362,
1066
+ "grad_norm": 0.5962440371513367,
1067
+ "learning_rate": 1.557711553001523e-05,
1068
+ "loss": 0.6645055413246155,
1069
+ "step": 19968
1070
+ },
1071
+ {
1072
+ "epoch": 0.9340908041199021,
1073
+ "grad_norm": 0.5067774653434753,
1074
+ "learning_rate": 1.1217515257622269e-05,
1075
+ "loss": 0.6640968322753906,
1076
+ "step": 20224
1077
+ },
1078
+ {
1079
+ "epoch": 0.945914738349268,
1080
+ "grad_norm": 0.5350014567375183,
1081
+ "learning_rate": 7.565329630950746e-06,
1082
+ "loss": 0.6651480197906494,
1083
+ "step": 20480
1084
+ },
1085
+ {
1086
+ "epoch": 0.945914738349268,
1087
+ "eval_bleu": 0.19344947454126088,
1088
+ "eval_cos0_loss": 0.15533433133336508,
1089
+ "eval_cos_loss": 0.22171324658203342,
1090
+ "eval_loss": 0.6652725612464017,
1091
+ "eval_mse0_loss": 0.5790987470650781,
1092
+ "eval_mse_loss": 0.7483866028317577,
1093
+ "eval_op_cos_loss": 0.22313952146599828,
1094
+ "eval_op_mse_loss": 0.7545061458463538,
1095
+ "step": 20480
1096
+ },
1097
+ {
1098
+ "epoch": 0.945914738349268,
1099
+ "eval_bleu": 0.19344947454126088,
1100
+ "eval_cos0_loss": 0.15533433133336508,
1101
+ "eval_cos_loss": 0.22171324658203342,
1102
+ "eval_loss": 0.6652725612464017,
1103
+ "eval_mse0_loss": 0.5790987470650781,
1104
+ "eval_mse_loss": 0.7483866028317577,
1105
+ "eval_op_cos_loss": 0.22313952146599828,
1106
+ "eval_op_mse_loss": 0.7545061458463538,
1107
+ "eval_runtime": 588.7494,
1108
+ "eval_samples_per_second": 47.547,
1109
+ "eval_steps_per_second": 0.744,
1110
+ "step": 20480
1111
+ },
1112
+ {
1113
+ "epoch": 0.9577386725786338,
1114
+ "grad_norm": 0.4614306390285492,
1115
+ "learning_rate": 4.62584445643166e-06,
1116
+ "loss": 0.6627260446548462,
1117
+ "step": 20736
1118
+ },
1119
+ {
1120
+ "epoch": 0.9695626068079997,
1121
+ "grad_norm": 0.37359824776649475,
1122
+ "learning_rate": 2.40331404948807e-06,
1123
+ "loss": 0.6657180786132812,
1124
+ "step": 20992
1125
+ },
1126
+ {
1127
+ "epoch": 0.9813865410373654,
1128
+ "grad_norm": 0.4106631875038147,
1129
+ "learning_rate": 9.009550772663965e-07,
1130
+ "loss": 0.6650002002716064,
1131
+ "step": 21248
1132
+ },
1133
+ {
1134
+ "epoch": 0.9932104752667313,
1135
+ "grad_norm": 0.3390243947505951,
1136
+ "learning_rate": 1.2094190315575791e-07,
1137
+ "loss": 0.6650212407112122,
1138
+ "step": 21504
1139
+ },
1140
+ {
1141
+ "epoch": 0.9932104752667313,
1142
+ "eval_bleu": 0.19311959623153893,
1143
+ "eval_cos0_loss": 0.15524692571462562,
1144
+ "eval_cos_loss": 0.22154003402141675,
1145
+ "eval_loss": 0.6644643922102506,
1146
+ "eval_mse0_loss": 0.5787450458905469,
1147
+ "eval_mse_loss": 0.7471250993748234,
1148
+ "eval_op_cos_loss": 0.2229611462313835,
1149
+ "eval_op_mse_loss": 0.7532423829923481,
1150
+ "step": 21504
1151
+ },
1152
+ {
1153
+ "epoch": 0.9932104752667313,
1154
+ "eval_bleu": 0.19311959623153893,
1155
+ "eval_cos0_loss": 0.15524692571462562,
1156
+ "eval_cos_loss": 0.22154003402141675,
1157
+ "eval_loss": 0.6644643922102506,
1158
+ "eval_mse0_loss": 0.5787450458905469,
1159
+ "eval_mse_loss": 0.7471250993748234,
1160
+ "eval_op_cos_loss": 0.2229611462313835,
1161
+ "eval_op_mse_loss": 0.7532423829923481,
1162
+ "eval_runtime": 591.4692,
1163
+ "eval_samples_per_second": 47.328,
1164
+ "eval_steps_per_second": 0.741,
1165
+ "step": 21504
1166
+ },
1167
+ {
1168
+ "epoch": 1.0,
1169
+ "eval_bleu": 0.1930297042658782,
1170
+ "eval_cos0_loss": 0.15528089971575018,
1171
+ "eval_cos_loss": 0.22123827870305815,
1172
+ "eval_loss": 0.6641868916276383,
1173
+ "eval_mse0_loss": 0.5787552864584204,
1174
+ "eval_mse_loss": 0.7465460198382808,
1175
+ "eval_op_cos_loss": 0.2226699615178043,
1176
+ "eval_op_mse_loss": 0.7526909737554315,
1177
+ "step": 21651
1178
+ },
1179
+ {
1180
+ "epoch": 1.0,
1181
+ "eval_bleu": 0.1930297042658782,
1182
+ "eval_cos0_loss": 0.15528089971575018,
1183
+ "eval_cos_loss": 0.22123827870305815,
1184
+ "eval_loss": 0.6641868916276383,
1185
+ "eval_mse0_loss": 0.5787552864584204,
1186
+ "eval_mse_loss": 0.7465460198382808,
1187
+ "eval_op_cos_loss": 0.2226699615178043,
1188
+ "eval_op_mse_loss": 0.7526909737554315,
1189
+ "eval_runtime": 591.8162,
1190
+ "eval_samples_per_second": 47.3,
1191
+ "eval_steps_per_second": 0.74,
1192
+ "step": 21651
1193
+ }
1194
+ ],
1195
+ "logging_steps": 256,
1196
+ "max_steps": 21651,
1197
+ "num_input_tokens_seen": 0,
1198
+ "num_train_epochs": 1,
1199
+ "save_steps": 1024,
1200
+ "stateful_callbacks": {
1201
+ "TrainerControl": {
1202
+ "args": {
1203
+ "should_epoch_stop": false,
1204
+ "should_evaluate": false,
1205
+ "should_log": false,
1206
+ "should_save": true,
1207
+ "should_training_stop": true
1208
+ },
1209
+ "attributes": {}
1210
+ }
1211
+ },
1212
+ "total_flos": 0.0,
1213
+ "train_batch_size": 64,
1214
+ "trial_name": null,
1215
+ "trial_params": null
1216
+ }
checkpoints-v2.0b-discrete-condition/checkpoint-21651/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f63a8a711fb280c6320e95476c532b75c862f31d6a218a0d05079e32411a5ae1
3
+ size 5201