ChiefTheLord commited on
Commit
c881b14
·
verified ·
1 Parent(s): 7aa94ba

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -40,3 +40,4 @@ checkpoints-v5.3/checkpoint-11264/eval_state.json filter=lfs diff=lfs merge=lfs
40
  checkpoints-v5.4/checkpoint-12288/eval_state.json filter=lfs diff=lfs merge=lfs -text
41
  checkpoints-v5.5/checkpoint-10240/eval_state.json filter=lfs diff=lfs merge=lfs -text
42
  checkpoints-v5.5/checkpoint-16384/eval_state.json filter=lfs diff=lfs merge=lfs -text
 
 
40
  checkpoints-v5.4/checkpoint-12288/eval_state.json filter=lfs diff=lfs merge=lfs -text
41
  checkpoints-v5.5/checkpoint-10240/eval_state.json filter=lfs diff=lfs merge=lfs -text
42
  checkpoints-v5.5/checkpoint-16384/eval_state.json filter=lfs diff=lfs merge=lfs -text
43
+ checkpoints-v4.4+/checkpoint-7168/eval_state.json filter=lfs diff=lfs merge=lfs -text
checkpoints-v4.4+/checkpoint-7168/ema.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8da5fec378c5b361daa721374f0586d4663d2d8c3d08fcaadd1abb29064c45c7
3
+ size 38738976
checkpoints-v4.4+/checkpoint-7168/eval_state.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:908335c0e64254ef2c23e47c85003b3b3cb509a0ba715415cb05876bbda2daf1
3
+ size 47930611
checkpoints-v4.4+/checkpoint-7168/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c7bfa3a8cddeaee4a71dd4f488c21fe4167e8f30bbcff08475eb649920ba84d
3
+ size 38739008
checkpoints-v4.4+/checkpoint-7168/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fae0320c5d1c2a637abdd69ceb85aa6eb3529c11d58a6371edff21ba4d8577c3
3
+ size 77599691
checkpoints-v4.4+/checkpoint-7168/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:df98b42eddbbe331a59c4c99414ce4ee48c424c0abd57f14e539bceba56714db
3
+ size 14645
checkpoints-v4.4+/checkpoint-7168/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b3031d089d4b9cc720ccc9e3882646caf7e007b04ab200bfcffd3c320ef9cf6d
3
+ size 1383
checkpoints-v4.4+/checkpoint-7168/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bf421e7a76e065aa2ac77b8c072da7efc0d488f8fa73d18cfcaf6079f63bbd32
3
+ size 1465
checkpoints-v4.4+/checkpoint-7168/trainer_state.json ADDED
@@ -0,0 +1,489 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.3310701584222438,
6
+ "eval_steps": 1024,
7
+ "global_step": 7168,
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": 2.6977920532226562,
15
+ "learning_rate": 0.000498046875,
16
+ "loss": 26.693201065063477,
17
+ "step": 256
18
+ },
19
+ {
20
+ "epoch": 0.023647868458731697,
21
+ "grad_norm": 2.7128376960754395,
22
+ "learning_rate": 0.000998046875,
23
+ "loss": 9.865509033203125,
24
+ "step": 512
25
+ },
26
+ {
27
+ "epoch": 0.03547180268809755,
28
+ "grad_norm": 3.0180280208587646,
29
+ "learning_rate": 0.000999961364193767,
30
+ "loss": 8.319804191589355,
31
+ "step": 768
32
+ },
33
+ {
34
+ "epoch": 0.047295736917463395,
35
+ "grad_norm": 3.1472654342651367,
36
+ "learning_rate": 0.0009998448561547506,
37
+ "loss": 7.783344745635986,
38
+ "step": 1024
39
+ },
40
+ {
41
+ "epoch": 0.047295736917463395,
42
+ "eval_bleu": 0.5080180462841996,
43
+ "eval_ce_loss": 0.027617456312780373,
44
+ "eval_cos_loss": 0.4708993843156997,
45
+ "eval_cov_loss": 0.00034012032398867916,
46
+ "eval_flow_ce_loss": 2.2868199040900627,
47
+ "eval_loss": 7.60784471307171,
48
+ "eval_mean_loss": 0.0015031876431599463,
49
+ "eval_mse_loss": 1.3905650837236343,
50
+ "eval_whiten_loss": 0.1768301349796661,
51
+ "flow/cos_sim": 0.529100628748332,
52
+ "flow/improvement_ratio": 0.9663206476326947,
53
+ "flow/mag_ratio_mean": 0.49323171737803717,
54
+ "flow/mag_ratio_std": 0.1666014238375507,
55
+ "step": 1024
56
+ },
57
+ {
58
+ "epoch": 0.047295736917463395,
59
+ "eval_bleu": 0.5080180462841996,
60
+ "eval_ce_loss": 0.027617456312780373,
61
+ "eval_cos_loss": 0.4708993843156997,
62
+ "eval_cov_loss": 0.00034012032398867916,
63
+ "eval_flow_ce_loss": 2.2868199040900627,
64
+ "eval_loss": 7.60784471307171,
65
+ "eval_mean_loss": 0.0015031876431599463,
66
+ "eval_mse_loss": 1.3905650837236343,
67
+ "eval_runtime": 137.3378,
68
+ "eval_samples_per_second": 203.826,
69
+ "eval_steps_per_second": 3.189,
70
+ "eval_whiten_loss": 0.1768301349796661,
71
+ "flow/cos_sim": 0.529100628748332,
72
+ "flow/improvement_ratio": 0.9663206476326947,
73
+ "flow/mag_ratio_mean": 0.49323171737803717,
74
+ "flow/mag_ratio_std": 0.1666014238375507,
75
+ "step": 1024
76
+ },
77
+ {
78
+ "epoch": 0.05911967114682925,
79
+ "grad_norm": 3.362802505493164,
80
+ "learning_rate": 0.0009996504934357976,
81
+ "loss": 7.467670917510986,
82
+ "step": 1280
83
+ },
84
+ {
85
+ "epoch": 0.0709436053761951,
86
+ "grad_norm": 2.9492599964141846,
87
+ "learning_rate": 0.000999378306310396,
88
+ "loss": 7.205803871154785,
89
+ "step": 1536
90
+ },
91
+ {
92
+ "epoch": 0.08276753960556095,
93
+ "grad_norm": 3.097372055053711,
94
+ "learning_rate": 0.0009990283371737838,
95
+ "loss": 7.063663959503174,
96
+ "step": 1792
97
+ },
98
+ {
99
+ "epoch": 0.09459147383492679,
100
+ "grad_norm": 4.688446521759033,
101
+ "learning_rate": 0.0009986006405363448,
102
+ "loss": 6.885957717895508,
103
+ "step": 2048
104
+ },
105
+ {
106
+ "epoch": 0.09459147383492679,
107
+ "eval_bleu": 0.5176616016025543,
108
+ "eval_ce_loss": 0.0072827782079505155,
109
+ "eval_cos_loss": 0.3974148456228378,
110
+ "eval_cov_loss": 0.0002958967598470366,
111
+ "eval_flow_ce_loss": 2.1159514251364966,
112
+ "eval_loss": 6.8805486981727215,
113
+ "eval_mean_loss": 0.0009597052286323756,
114
+ "eval_mse_loss": 1.221881123166106,
115
+ "eval_whiten_loss": 0.15687005378339933,
116
+ "flow/cos_sim": 0.6025851748577536,
117
+ "flow/improvement_ratio": 0.9678549095648065,
118
+ "flow/mag_ratio_mean": 0.5845441620915992,
119
+ "flow/mag_ratio_std": 0.1977017904253311,
120
+ "step": 2048
121
+ },
122
+ {
123
+ "epoch": 0.09459147383492679,
124
+ "eval_bleu": 0.5176616016025543,
125
+ "eval_ce_loss": 0.0072827782079505155,
126
+ "eval_cos_loss": 0.3974148456228378,
127
+ "eval_cov_loss": 0.0002958967598470366,
128
+ "eval_flow_ce_loss": 2.1159514251364966,
129
+ "eval_loss": 6.8805486981727215,
130
+ "eval_mean_loss": 0.0009597052286323756,
131
+ "eval_mse_loss": 1.221881123166106,
132
+ "eval_runtime": 133.2951,
133
+ "eval_samples_per_second": 210.008,
134
+ "eval_steps_per_second": 3.286,
135
+ "eval_whiten_loss": 0.15687005378339933,
136
+ "flow/cos_sim": 0.6025851748577536,
137
+ "flow/improvement_ratio": 0.9678549095648065,
138
+ "flow/mag_ratio_mean": 0.5845441620915992,
139
+ "flow/mag_ratio_std": 0.1977017904253311,
140
+ "step": 2048
141
+ },
142
+ {
143
+ "epoch": 0.10641540806429264,
144
+ "grad_norm": 2.493529796600342,
145
+ "learning_rate": 0.0009980952830151192,
146
+ "loss": 6.838229179382324,
147
+ "step": 2304
148
+ },
149
+ {
150
+ "epoch": 0.1182393422936585,
151
+ "grad_norm": 2.93609356880188,
152
+ "learning_rate": 0.0009975123433234273,
153
+ "loss": 6.67982816696167,
154
+ "step": 2560
155
+ },
156
+ {
157
+ "epoch": 0.13006327652302435,
158
+ "grad_norm": 2.9494926929473877,
159
+ "learning_rate": 0.0009968519122586083,
160
+ "loss": 6.686809539794922,
161
+ "step": 2816
162
+ },
163
+ {
164
+ "epoch": 0.1418872107523902,
165
+ "grad_norm": 4.821794033050537,
166
+ "learning_rate": 0.0009961140926878786,
167
+ "loss": 6.529831409454346,
168
+ "step": 3072
169
+ },
170
+ {
171
+ "epoch": 0.1418872107523902,
172
+ "eval_bleu": 0.536460391570044,
173
+ "eval_ce_loss": 0.003726785426819059,
174
+ "eval_cos_loss": 0.35948846853214855,
175
+ "eval_cov_loss": 0.0002726104497733062,
176
+ "eval_flow_ce_loss": 2.061866384662994,
177
+ "eval_loss": 6.564142907591171,
178
+ "eval_mean_loss": 0.000869228759422775,
179
+ "eval_mse_loss": 1.1264942184975157,
180
+ "eval_whiten_loss": 0.1468495756523794,
181
+ "flow/cos_sim": 0.6405115382039928,
182
+ "flow/improvement_ratio": 0.9704297850393269,
183
+ "flow/mag_ratio_mean": 0.6134878079912979,
184
+ "flow/mag_ratio_std": 0.19985322746103756,
185
+ "step": 3072
186
+ },
187
+ {
188
+ "epoch": 0.1418872107523902,
189
+ "eval_bleu": 0.536460391570044,
190
+ "eval_ce_loss": 0.003726785426819059,
191
+ "eval_cos_loss": 0.35948846853214855,
192
+ "eval_cov_loss": 0.0002726104497733062,
193
+ "eval_flow_ce_loss": 2.061866384662994,
194
+ "eval_loss": 6.564142907591171,
195
+ "eval_mean_loss": 0.000869228759422775,
196
+ "eval_mse_loss": 1.1264942184975157,
197
+ "eval_runtime": 133.1163,
198
+ "eval_samples_per_second": 210.29,
199
+ "eval_steps_per_second": 3.29,
200
+ "eval_whiten_loss": 0.1468495756523794,
201
+ "flow/cos_sim": 0.6405115382039928,
202
+ "flow/improvement_ratio": 0.9704297850393269,
203
+ "flow/mag_ratio_mean": 0.6134878079912979,
204
+ "flow/mag_ratio_std": 0.19985322746103756,
205
+ "step": 3072
206
+ },
207
+ {
208
+ "epoch": 0.15371114498175603,
209
+ "grad_norm": 3.2502996921539307,
210
+ "learning_rate": 0.0009952989995323104,
211
+ "loss": 6.486678123474121,
212
+ "step": 3328
213
+ },
214
+ {
215
+ "epoch": 0.1655350792111219,
216
+ "grad_norm": 2.448288917541504,
217
+ "learning_rate": 0.0009944067597489302,
218
+ "loss": 6.419068813323975,
219
+ "step": 3584
220
+ },
221
+ {
222
+ "epoch": 0.17735901344048774,
223
+ "grad_norm": 2.7338614463806152,
224
+ "learning_rate": 0.0009934375123109454,
225
+ "loss": 6.377047538757324,
226
+ "step": 3840
227
+ },
228
+ {
229
+ "epoch": 0.18918294766985358,
230
+ "grad_norm": 2.7483572959899902,
231
+ "learning_rate": 0.0009923914081860971,
232
+ "loss": 6.377966403961182,
233
+ "step": 4096
234
+ },
235
+ {
236
+ "epoch": 0.18918294766985358,
237
+ "eval_bleu": 0.5550769774844325,
238
+ "eval_ce_loss": 0.002399685377862143,
239
+ "eval_cos_loss": 0.3334486482486333,
240
+ "eval_cov_loss": 0.0002663974104274796,
241
+ "eval_flow_ce_loss": 1.985243722456231,
242
+ "eval_loss": 6.281966650322692,
243
+ "eval_mean_loss": 0.0007326721327249641,
244
+ "eval_mse_loss": 1.0656885820436695,
245
+ "eval_whiten_loss": 0.14359816459760275,
246
+ "flow/cos_sim": 0.6665513564462531,
247
+ "flow/improvement_ratio": 0.9709918391486826,
248
+ "flow/mag_ratio_mean": 0.643914669752121,
249
+ "flow/mag_ratio_std": 0.20350686651250544,
250
+ "step": 4096
251
+ },
252
+ {
253
+ "epoch": 0.18918294766985358,
254
+ "eval_bleu": 0.5550769774844325,
255
+ "eval_ce_loss": 0.002399685377862143,
256
+ "eval_cos_loss": 0.3334486482486333,
257
+ "eval_cov_loss": 0.0002663974104274796,
258
+ "eval_flow_ce_loss": 1.985243722456231,
259
+ "eval_loss": 6.281966650322692,
260
+ "eval_mean_loss": 0.0007326721327249641,
261
+ "eval_mse_loss": 1.0656885820436695,
262
+ "eval_runtime": 133.3237,
263
+ "eval_samples_per_second": 209.963,
264
+ "eval_steps_per_second": 3.285,
265
+ "eval_whiten_loss": 0.14359816459760275,
266
+ "flow/cos_sim": 0.6665513564462531,
267
+ "flow/improvement_ratio": 0.9709918391486826,
268
+ "flow/mag_ratio_mean": 0.643914669752121,
269
+ "flow/mag_ratio_std": 0.20350686651250544,
270
+ "step": 4096
271
+ },
272
+ {
273
+ "epoch": 0.20100688189921945,
274
+ "grad_norm": 2.555222272872925,
275
+ "learning_rate": 0.0009912686103131475,
276
+ "loss": 6.325072288513184,
277
+ "step": 4352
278
+ },
279
+ {
280
+ "epoch": 0.2128308161285853,
281
+ "grad_norm": 2.890451431274414,
282
+ "learning_rate": 0.0009900692935764985,
283
+ "loss": 6.253594875335693,
284
+ "step": 4608
285
+ },
286
+ {
287
+ "epoch": 0.22465475035795113,
288
+ "grad_norm": 2.830192804336548,
289
+ "learning_rate": 0.0009887936447789544,
290
+ "loss": 6.254307746887207,
291
+ "step": 4864
292
+ },
293
+ {
294
+ "epoch": 0.236478684587317,
295
+ "grad_norm": 3.2061522006988525,
296
+ "learning_rate": 0.0009874418626126245,
297
+ "loss": 6.149478912353516,
298
+ "step": 5120
299
+ },
300
+ {
301
+ "epoch": 0.236478684587317,
302
+ "eval_bleu": 0.5571576551016023,
303
+ "eval_ce_loss": 0.00175463656717316,
304
+ "eval_cos_loss": 0.31512473918259415,
305
+ "eval_cov_loss": 0.00032193904485315356,
306
+ "eval_flow_ce_loss": 1.9341952408829781,
307
+ "eval_loss": 6.142604702139554,
308
+ "eval_mean_loss": 0.0007544319254620485,
309
+ "eval_mse_loss": 1.029675681433177,
310
+ "eval_whiten_loss": 0.1808091167989931,
311
+ "flow/cos_sim": 0.684875273677312,
312
+ "flow/improvement_ratio": 0.9711803045447014,
313
+ "flow/mag_ratio_mean": 0.6440029551177264,
314
+ "flow/mag_ratio_std": 0.19927926647336516,
315
+ "step": 5120
316
+ },
317
+ {
318
+ "epoch": 0.236478684587317,
319
+ "eval_bleu": 0.5571576551016023,
320
+ "eval_ce_loss": 0.00175463656717316,
321
+ "eval_cos_loss": 0.31512473918259415,
322
+ "eval_cov_loss": 0.00032193904485315356,
323
+ "eval_flow_ce_loss": 1.9341952408829781,
324
+ "eval_loss": 6.142604702139554,
325
+ "eval_mean_loss": 0.0007544319254620485,
326
+ "eval_mse_loss": 1.029675681433177,
327
+ "eval_runtime": 135.3862,
328
+ "eval_samples_per_second": 206.764,
329
+ "eval_steps_per_second": 3.235,
330
+ "eval_whiten_loss": 0.1808091167989931,
331
+ "flow/cos_sim": 0.684875273677312,
332
+ "flow/improvement_ratio": 0.9711803045447014,
333
+ "flow/mag_ratio_mean": 0.6440029551177264,
334
+ "flow/mag_ratio_std": 0.19927926647336516,
335
+ "step": 5120
336
+ },
337
+ {
338
+ "epoch": 0.24830261881668284,
339
+ "grad_norm": 2.7209255695343018,
340
+ "learning_rate": 0.0009860141576279757,
341
+ "loss": 6.127026081085205,
342
+ "step": 5376
343
+ },
344
+ {
345
+ "epoch": 0.2601265530460487,
346
+ "grad_norm": 2.651538133621216,
347
+ "learning_rate": 0.000984510752201038,
348
+ "loss": 6.14462947845459,
349
+ "step": 5632
350
+ },
351
+ {
352
+ "epoch": 0.27195048727541454,
353
+ "grad_norm": 2.6247918605804443,
354
+ "learning_rate": 0.0009829318804987673,
355
+ "loss": 6.107431411743164,
356
+ "step": 5888
357
+ },
358
+ {
359
+ "epoch": 0.2837744215047804,
360
+ "grad_norm": 2.3757526874542236,
361
+ "learning_rate": 0.0009812777884425719,
362
+ "loss": 6.154008865356445,
363
+ "step": 6144
364
+ },
365
+ {
366
+ "epoch": 0.2837744215047804,
367
+ "eval_bleu": 0.5627678380598656,
368
+ "eval_ce_loss": 0.0014910807216579316,
369
+ "eval_cos_loss": 0.3033045921559748,
370
+ "eval_cov_loss": 0.00024372758732531347,
371
+ "eval_flow_ce_loss": 1.9364468174982288,
372
+ "eval_loss": 6.006853520598042,
373
+ "eval_mean_loss": 0.0007080443127500212,
374
+ "eval_mse_loss": 0.985551782802904,
375
+ "eval_whiten_loss": 0.13030236823373734,
376
+ "flow/cos_sim": 0.6966954118584934,
377
+ "flow/improvement_ratio": 0.9679767886797587,
378
+ "flow/mag_ratio_mean": 0.6562947229435455,
379
+ "flow/mag_ratio_std": 0.20180939535980355,
380
+ "step": 6144
381
+ },
382
+ {
383
+ "epoch": 0.2837744215047804,
384
+ "eval_bleu": 0.5627678380598656,
385
+ "eval_ce_loss": 0.0014910807216579316,
386
+ "eval_cos_loss": 0.3033045921559748,
387
+ "eval_cov_loss": 0.00024372758732531347,
388
+ "eval_flow_ce_loss": 1.9364468174982288,
389
+ "eval_loss": 6.006853520598042,
390
+ "eval_mean_loss": 0.0007080443127500212,
391
+ "eval_mse_loss": 0.985551782802904,
392
+ "eval_runtime": 142.3565,
393
+ "eval_samples_per_second": 196.64,
394
+ "eval_steps_per_second": 3.077,
395
+ "eval_whiten_loss": 0.13030236823373734,
396
+ "flow/cos_sim": 0.6966954118584934,
397
+ "flow/improvement_ratio": 0.9679767886797587,
398
+ "flow/mag_ratio_mean": 0.6562947229435455,
399
+ "flow/mag_ratio_std": 0.20180939535980355,
400
+ "step": 6144
401
+ },
402
+ {
403
+ "epoch": 0.2955983557341462,
404
+ "grad_norm": 3.0790116786956787,
405
+ "learning_rate": 0.0009795487336700087,
406
+ "loss": 6.061086177825928,
407
+ "step": 6400
408
+ },
409
+ {
410
+ "epoch": 0.30742228996351206,
411
+ "grad_norm": 3.054367780685425,
412
+ "learning_rate": 0.0009777449854946542,
413
+ "loss": 6.01887321472168,
414
+ "step": 6656
415
+ },
416
+ {
417
+ "epoch": 0.3192462241928779,
418
+ "grad_norm": 2.9489176273345947,
419
+ "learning_rate": 0.0009758668248641569,
420
+ "loss": 6.025762557983398,
421
+ "step": 6912
422
+ },
423
+ {
424
+ "epoch": 0.3310701584222438,
425
+ "grad_norm": 3.1671557426452637,
426
+ "learning_rate": 0.0009739145443164773,
427
+ "loss": 6.037273406982422,
428
+ "step": 7168
429
+ },
430
+ {
431
+ "epoch": 0.3310701584222438,
432
+ "eval_bleu": 0.5363273200410009,
433
+ "eval_ce_loss": 0.0013653414107839999,
434
+ "eval_cos_loss": 0.293757545927616,
435
+ "eval_cov_loss": 0.00026882515744317844,
436
+ "eval_flow_ce_loss": 1.9674101572602851,
437
+ "eval_loss": 6.0363281105206985,
438
+ "eval_mean_loss": 0.000960654606612093,
439
+ "eval_mse_loss": 0.9632442325489706,
440
+ "eval_whiten_loss": 0.14329069825612248,
441
+ "flow/cos_sim": 0.7062424644487634,
442
+ "flow/improvement_ratio": 0.9698878646441246,
443
+ "flow/mag_ratio_mean": 0.6735025889252964,
444
+ "flow/mag_ratio_std": 0.2078927657715806,
445
+ "step": 7168
446
+ },
447
+ {
448
+ "epoch": 0.3310701584222438,
449
+ "eval_bleu": 0.5363273200410009,
450
+ "eval_ce_loss": 0.0013653414107839999,
451
+ "eval_cos_loss": 0.293757545927616,
452
+ "eval_cov_loss": 0.00026882515744317844,
453
+ "eval_flow_ce_loss": 1.9674101572602851,
454
+ "eval_loss": 6.0363281105206985,
455
+ "eval_mean_loss": 0.000960654606612093,
456
+ "eval_mse_loss": 0.9632442325489706,
457
+ "eval_runtime": 144.5396,
458
+ "eval_samples_per_second": 193.67,
459
+ "eval_steps_per_second": 3.03,
460
+ "eval_whiten_loss": 0.14329069825612248,
461
+ "flow/cos_sim": 0.7062424644487634,
462
+ "flow/improvement_ratio": 0.9698878646441246,
463
+ "flow/mag_ratio_mean": 0.6735025889252964,
464
+ "flow/mag_ratio_std": 0.2078927657715806,
465
+ "step": 7168
466
+ }
467
+ ],
468
+ "logging_steps": 256,
469
+ "max_steps": 64953,
470
+ "num_input_tokens_seen": 0,
471
+ "num_train_epochs": 3,
472
+ "save_steps": 1024,
473
+ "stateful_callbacks": {
474
+ "TrainerControl": {
475
+ "args": {
476
+ "should_epoch_stop": false,
477
+ "should_evaluate": false,
478
+ "should_log": false,
479
+ "should_save": true,
480
+ "should_training_stop": false
481
+ },
482
+ "attributes": {}
483
+ }
484
+ },
485
+ "total_flos": 0.0,
486
+ "train_batch_size": 64,
487
+ "trial_name": null,
488
+ "trial_params": null
489
+ }
checkpoints-v4.4+/checkpoint-7168/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6bce1f7f6d474249ed7d017dc2251184e884f8d0ae83eb277b6a88815e6d685a
3
+ size 5137