Attila1011 commited on
Commit
254dbcb
·
verified ·
1 Parent(s): 1a97268

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -55,3 +55,4 @@ checkpoints-v5.11/checkpoint-10240/eval_state.json filter=lfs diff=lfs merge=lfs
55
  checkpoints-v4.6/checkpoint-13312/eval_state.json filter=lfs diff=lfs merge=lfs -text
56
  checkpoints-v5.11-b/checkpoint-9216/eval_state.json filter=lfs diff=lfs merge=lfs -text
57
  checkpoints-v5.11-c/checkpoint-4096/eval_state.json filter=lfs diff=lfs merge=lfs -text
 
 
55
  checkpoints-v4.6/checkpoint-13312/eval_state.json filter=lfs diff=lfs merge=lfs -text
56
  checkpoints-v5.11-b/checkpoint-9216/eval_state.json filter=lfs diff=lfs merge=lfs -text
57
  checkpoints-v5.11-c/checkpoint-4096/eval_state.json filter=lfs diff=lfs merge=lfs -text
58
+ checkpoints-v5.11-c/checkpoint-10240/eval_state.json filter=lfs diff=lfs merge=lfs -text
checkpoints-v5.11-c/checkpoint-10240/ema.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:233b07757a42e4eaad1a2e29a22bca4d07dc0b9591c8944a2dc66436ba7ead1b
3
+ size 55150648
checkpoints-v5.11-c/checkpoint-10240/eval_state.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f35348a1b676605a7a5393429ee5b4b137a892a25e0d415230a0531beaa7ef8a
3
+ size 57895598
checkpoints-v5.11-c/checkpoint-10240/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce90d6a1492fa79ea90047b3365bfd64f87a683a8770fd16a2e0f829319ee655
3
+ size 55150680
checkpoints-v5.11-c/checkpoint-10240/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3be142afadd11d0a9edc20ad02c948ac25afbe1a8bf32513cc2a90358f8fd5e1
3
+ size 77724619
checkpoints-v5.11-c/checkpoint-10240/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:395a99c9379c14b57848072fe8b6246133ccdfbc9ea5f8c57ebc64605d710240
3
+ size 14645
checkpoints-v5.11-c/checkpoint-10240/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:51578f744be5b527763893e9bb928aab91f9a44e3d7a707e14699332d93562a0
3
+ size 1383
checkpoints-v5.11-c/checkpoint-10240/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:012f7b23a26c3659b3d642258b23d2a9db5c112a8101c3ff10a13ac93f47a91e
3
+ size 1465
checkpoints-v5.11-c/checkpoint-10240/trainer_state.json ADDED
@@ -0,0 +1,414 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.44131273299286744,
6
+ "eval_steps": 1024,
7
+ "global_step": 10240,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.04413127329928675,
14
+ "grad_norm": 1.3239375352859497,
15
+ "learning_rate": 9.990234375e-05,
16
+ "loss": 9.52033519744873,
17
+ "step": 1024
18
+ },
19
+ {
20
+ "epoch": 0.04413127329928675,
21
+ "eval_bleu": 0.07157369363596942,
22
+ "eval_ce_clean_loss": 3.4926672363077906,
23
+ "eval_ce_pred_loss": 5.343971137553136,
24
+ "eval_flow_consistency_loss": 0.21455860643117414,
25
+ "eval_flow_mse_loss": 0.9182186252526892,
26
+ "eval_loss": 6.718735785372476,
27
+ "flow/cos_sim": 0.4531501281236026,
28
+ "flow/improvement_ratio": 0.9899448362240659,
29
+ "flow/mag_ratio_mean": 0.35970314955914706,
30
+ "flow/mag_ratio_std": 0.08068646627194337,
31
+ "step": 1024
32
+ },
33
+ {
34
+ "epoch": 0.04413127329928675,
35
+ "eval_bleu": 0.07157369363596942,
36
+ "eval_ce_clean_loss": 3.4926672363077906,
37
+ "eval_ce_pred_loss": 5.343971137553136,
38
+ "eval_flow_consistency_loss": 0.21455860643117414,
39
+ "eval_flow_mse_loss": 0.9182186252526892,
40
+ "eval_loss": 6.718735785372476,
41
+ "eval_runtime": 220.5559,
42
+ "eval_samples_per_second": 136.02,
43
+ "eval_steps_per_second": 2.126,
44
+ "flow/cos_sim": 0.4531501281236026,
45
+ "flow/improvement_ratio": 0.9899448362240659,
46
+ "flow/mag_ratio_mean": 0.35970314955914706,
47
+ "flow/mag_ratio_std": 0.08068646627194337,
48
+ "step": 1024
49
+ },
50
+ {
51
+ "epoch": 0.0882625465985735,
52
+ "grad_norm": 1.2716542482376099,
53
+ "learning_rate": 9.9476028157316e-05,
54
+ "loss": 5.5954484939575195,
55
+ "step": 2048
56
+ },
57
+ {
58
+ "epoch": 0.0882625465985735,
59
+ "eval_bleu": 0.2851081261327202,
60
+ "eval_ce_clean_loss": 1.1201755729819667,
61
+ "eval_ce_pred_loss": 3.4080677672998227,
62
+ "eval_flow_consistency_loss": 0.19224862538293988,
63
+ "eval_flow_mse_loss": 1.2042766176561304,
64
+ "eval_loss": 4.820486245124833,
65
+ "flow/cos_sim": 0.6777764271571438,
66
+ "flow/improvement_ratio": 0.9942337602440482,
67
+ "flow/mag_ratio_mean": 0.6318551317206832,
68
+ "flow/mag_ratio_std": 0.09376044439545064,
69
+ "step": 2048
70
+ },
71
+ {
72
+ "epoch": 0.0882625465985735,
73
+ "eval_bleu": 0.2851081261327202,
74
+ "eval_ce_clean_loss": 1.1201755729819667,
75
+ "eval_ce_pred_loss": 3.4080677672998227,
76
+ "eval_flow_consistency_loss": 0.19224862538293988,
77
+ "eval_flow_mse_loss": 1.2042766176561304,
78
+ "eval_loss": 4.820486245124833,
79
+ "eval_runtime": 207.2,
80
+ "eval_samples_per_second": 144.788,
81
+ "eval_steps_per_second": 2.264,
82
+ "flow/cos_sim": 0.6777764271571438,
83
+ "flow/improvement_ratio": 0.9942337602440482,
84
+ "flow/mag_ratio_mean": 0.6318551317206832,
85
+ "flow/mag_ratio_std": 0.09376044439545064,
86
+ "step": 2048
87
+ },
88
+ {
89
+ "epoch": 0.13239381989786023,
90
+ "grad_norm": 1.0747904777526855,
91
+ "learning_rate": 9.791307026072513e-05,
92
+ "loss": 4.509411811828613,
93
+ "step": 3072
94
+ },
95
+ {
96
+ "epoch": 0.13239381989786023,
97
+ "eval_bleu": 0.3946967707762435,
98
+ "eval_ce_clean_loss": 0.4840524077161289,
99
+ "eval_ce_pred_loss": 2.659346651166741,
100
+ "eval_flow_consistency_loss": 0.19842284905122543,
101
+ "eval_flow_mse_loss": 1.3267124548141382,
102
+ "eval_loss": 4.133675775039933,
103
+ "flow/cos_sim": 0.7460494351539531,
104
+ "flow/improvement_ratio": 0.9937591908583,
105
+ "flow/mag_ratio_mean": 0.7239802262422118,
106
+ "flow/mag_ratio_std": 0.11313430988775895,
107
+ "step": 3072
108
+ },
109
+ {
110
+ "epoch": 0.13239381989786023,
111
+ "eval_bleu": 0.3946967707762435,
112
+ "eval_ce_clean_loss": 0.4840524077161289,
113
+ "eval_ce_pred_loss": 2.659346651166741,
114
+ "eval_flow_consistency_loss": 0.19842284905122543,
115
+ "eval_flow_mse_loss": 1.3267124548141382,
116
+ "eval_loss": 4.133675775039933,
117
+ "eval_runtime": 208.2191,
118
+ "eval_samples_per_second": 144.079,
119
+ "eval_steps_per_second": 2.252,
120
+ "flow/cos_sim": 0.7460494351539531,
121
+ "flow/improvement_ratio": 0.9937591908583,
122
+ "flow/mag_ratio_mean": 0.7239802262422118,
123
+ "flow/mag_ratio_std": 0.11313430988775895,
124
+ "step": 3072
125
+ },
126
+ {
127
+ "epoch": 0.176525093197147,
128
+ "grad_norm": 1.35178542137146,
129
+ "learning_rate": 9.53439476074686e-05,
130
+ "loss": 4.063338756561279,
131
+ "step": 4096
132
+ },
133
+ {
134
+ "epoch": 0.176525093197147,
135
+ "eval_bleu": 0.4525546979234133,
136
+ "eval_ce_clean_loss": 0.2581422195823462,
137
+ "eval_ce_pred_loss": 2.373856964396007,
138
+ "eval_flow_consistency_loss": 0.18598086035836225,
139
+ "eval_flow_mse_loss": 1.3554061541933495,
140
+ "eval_loss": 3.8480677752098296,
141
+ "flow/cos_sim": 0.7761308249634212,
142
+ "flow/improvement_ratio": 0.9946825252667165,
143
+ "flow/mag_ratio_mean": 0.759453354868045,
144
+ "flow/mag_ratio_std": 0.12538669191634477,
145
+ "step": 4096
146
+ },
147
+ {
148
+ "epoch": 0.176525093197147,
149
+ "eval_bleu": 0.4525546979234133,
150
+ "eval_ce_clean_loss": 0.2581422195823462,
151
+ "eval_ce_pred_loss": 2.373856964396007,
152
+ "eval_flow_consistency_loss": 0.18598086035836225,
153
+ "eval_flow_mse_loss": 1.3554061541933495,
154
+ "eval_loss": 3.8480677752098296,
155
+ "eval_runtime": 208.6969,
156
+ "eval_samples_per_second": 143.749,
157
+ "eval_steps_per_second": 2.247,
158
+ "flow/cos_sim": 0.7761308249634212,
159
+ "flow/improvement_ratio": 0.9946825252667165,
160
+ "flow/mag_ratio_mean": 0.759453354868045,
161
+ "flow/mag_ratio_std": 0.12538669191634477,
162
+ "step": 4096
163
+ },
164
+ {
165
+ "epoch": 0.22065636649643372,
166
+ "grad_norm": 1.6914981603622437,
167
+ "learning_rate": 9.18264920723673e-05,
168
+ "loss": 3.863734245300293,
169
+ "step": 5120
170
+ },
171
+ {
172
+ "epoch": 0.22065636649643372,
173
+ "eval_bleu": 0.4780302414550105,
174
+ "eval_ce_clean_loss": 0.1603111465221275,
175
+ "eval_ce_pred_loss": 2.2246805859018743,
176
+ "eval_flow_consistency_loss": 0.18130130198464464,
177
+ "eval_flow_mse_loss": 1.3407130388817046,
178
+ "eval_loss": 3.6720753941200437,
179
+ "flow/cos_sim": 0.7899645644464472,
180
+ "flow/improvement_ratio": 0.994722522270959,
181
+ "flow/mag_ratio_mean": 0.7766606548447599,
182
+ "flow/mag_ratio_std": 0.13345527180285852,
183
+ "step": 5120
184
+ },
185
+ {
186
+ "epoch": 0.22065636649643372,
187
+ "eval_bleu": 0.4780302414550105,
188
+ "eval_ce_clean_loss": 0.1603111465221275,
189
+ "eval_ce_pred_loss": 2.2246805859018743,
190
+ "eval_flow_consistency_loss": 0.18130130198464464,
191
+ "eval_flow_mse_loss": 1.3407130388817046,
192
+ "eval_loss": 3.6720753941200437,
193
+ "eval_runtime": 214.7984,
194
+ "eval_samples_per_second": 139.666,
195
+ "eval_steps_per_second": 2.183,
196
+ "flow/cos_sim": 0.7899645644464472,
197
+ "flow/improvement_ratio": 0.994722522270959,
198
+ "flow/mag_ratio_mean": 0.7766606548447599,
199
+ "flow/mag_ratio_std": 0.13345527180285852,
200
+ "step": 5120
201
+ },
202
+ {
203
+ "epoch": 0.26478763979572045,
204
+ "grad_norm": 2.709454298019409,
205
+ "learning_rate": 8.742770483354739e-05,
206
+ "loss": 3.7396228313446045,
207
+ "step": 6144
208
+ },
209
+ {
210
+ "epoch": 0.26478763979572045,
211
+ "eval_bleu": 0.4934682590798475,
212
+ "eval_ce_clean_loss": 0.10936822897907514,
213
+ "eval_ce_pred_loss": 2.161721092551502,
214
+ "eval_flow_consistency_loss": 0.18502742693876661,
215
+ "eval_flow_mse_loss": 1.3550941201923752,
216
+ "eval_loss": 3.620265751759381,
217
+ "flow/cos_sim": 0.7949470201535012,
218
+ "flow/improvement_ratio": 0.9949648318006031,
219
+ "flow/mag_ratio_mean": 0.7885439048952131,
220
+ "flow/mag_ratio_std": 0.13873019352205782,
221
+ "step": 6144
222
+ },
223
+ {
224
+ "epoch": 0.26478763979572045,
225
+ "eval_bleu": 0.4934682590798475,
226
+ "eval_ce_clean_loss": 0.10936822897907514,
227
+ "eval_ce_pred_loss": 2.161721092551502,
228
+ "eval_flow_consistency_loss": 0.18502742693876661,
229
+ "eval_flow_mse_loss": 1.3550941201923752,
230
+ "eval_loss": 3.620265751759381,
231
+ "eval_runtime": 209.4321,
232
+ "eval_samples_per_second": 143.244,
233
+ "eval_steps_per_second": 2.239,
234
+ "flow/cos_sim": 0.7949470201535012,
235
+ "flow/improvement_ratio": 0.9949648318006031,
236
+ "flow/mag_ratio_mean": 0.7885439048952131,
237
+ "flow/mag_ratio_std": 0.13873019352205782,
238
+ "step": 6144
239
+ },
240
+ {
241
+ "epoch": 0.30891891309500724,
242
+ "grad_norm": 1.3311004638671875,
243
+ "learning_rate": 8.22483558761947e-05,
244
+ "loss": 3.646756649017334,
245
+ "step": 7168
246
+ },
247
+ {
248
+ "epoch": 0.30891891309500724,
249
+ "eval_bleu": 0.5096134505839379,
250
+ "eval_ce_clean_loss": 0.0788542938464359,
251
+ "eval_ce_pred_loss": 2.0752987648124126,
252
+ "eval_flow_consistency_loss": 0.18312989861599163,
253
+ "eval_flow_mse_loss": 1.3398124963235754,
254
+ "eval_loss": 3.514561640936683,
255
+ "flow/cos_sim": 0.8007625590509443,
256
+ "flow/improvement_ratio": 0.9952790275819774,
257
+ "flow/mag_ratio_mean": 0.7927075416040319,
258
+ "flow/mag_ratio_std": 0.13909053750066105,
259
+ "step": 7168
260
+ },
261
+ {
262
+ "epoch": 0.30891891309500724,
263
+ "eval_bleu": 0.5096134505839379,
264
+ "eval_ce_clean_loss": 0.0788542938464359,
265
+ "eval_ce_pred_loss": 2.0752987648124126,
266
+ "eval_flow_consistency_loss": 0.18312989861599163,
267
+ "eval_flow_mse_loss": 1.3398124963235754,
268
+ "eval_loss": 3.514561640936683,
269
+ "eval_runtime": 212.3028,
270
+ "eval_samples_per_second": 141.308,
271
+ "eval_steps_per_second": 2.209,
272
+ "flow/cos_sim": 0.8007625590509443,
273
+ "flow/improvement_ratio": 0.9952790275819774,
274
+ "flow/mag_ratio_mean": 0.7927075416040319,
275
+ "flow/mag_ratio_std": 0.13909053750066105,
276
+ "step": 7168
277
+ },
278
+ {
279
+ "epoch": 0.353050186394294,
280
+ "grad_norm": 1.5390197038650513,
281
+ "learning_rate": 7.638710244802891e-05,
282
+ "loss": 3.5665171146392822,
283
+ "step": 8192
284
+ },
285
+ {
286
+ "epoch": 0.353050186394294,
287
+ "eval_bleu": 0.5144287355459397,
288
+ "eval_ce_clean_loss": 0.059409899577530206,
289
+ "eval_ce_pred_loss": 2.0436038091492805,
290
+ "eval_flow_consistency_loss": 0.18318010418653996,
291
+ "eval_flow_mse_loss": 1.354745762815862,
292
+ "eval_loss": 3.4958806147199195,
293
+ "flow/cos_sim": 0.8068296403518872,
294
+ "flow/improvement_ratio": 0.9938453970941653,
295
+ "flow/mag_ratio_mean": 0.7999166224811123,
296
+ "flow/mag_ratio_std": 0.14273165865366394,
297
+ "step": 8192
298
+ },
299
+ {
300
+ "epoch": 0.353050186394294,
301
+ "eval_bleu": 0.5144287355459397,
302
+ "eval_ce_clean_loss": 0.059409899577530206,
303
+ "eval_ce_pred_loss": 2.0436038091492805,
304
+ "eval_flow_consistency_loss": 0.18318010418653996,
305
+ "eval_flow_mse_loss": 1.354745762815862,
306
+ "eval_loss": 3.4958806147199195,
307
+ "eval_runtime": 211.5742,
308
+ "eval_samples_per_second": 141.794,
309
+ "eval_steps_per_second": 2.217,
310
+ "flow/cos_sim": 0.8068296403518872,
311
+ "flow/improvement_ratio": 0.9938453970941653,
312
+ "flow/mag_ratio_mean": 0.7999166224811123,
313
+ "flow/mag_ratio_std": 0.14273165865366394,
314
+ "step": 8192
315
+ },
316
+ {
317
+ "epoch": 0.3971814596935807,
318
+ "grad_norm": 2.071878433227539,
319
+ "learning_rate": 6.997821756319211e-05,
320
+ "loss": 3.5135498046875,
321
+ "step": 9216
322
+ },
323
+ {
324
+ "epoch": 0.3971814596935807,
325
+ "eval_bleu": 0.5243968237197109,
326
+ "eval_ce_clean_loss": 0.04710457952959197,
327
+ "eval_ce_pred_loss": 1.983201584327958,
328
+ "eval_flow_consistency_loss": 0.1771627469802462,
329
+ "eval_flow_mse_loss": 1.3613082373828522,
330
+ "eval_loss": 3.4378016447461746,
331
+ "flow/cos_sim": 0.8124718137387273,
332
+ "flow/improvement_ratio": 0.9934973734528271,
333
+ "flow/mag_ratio_mean": 0.8084665637280641,
334
+ "flow/mag_ratio_std": 0.1460826443964993,
335
+ "step": 9216
336
+ },
337
+ {
338
+ "epoch": 0.3971814596935807,
339
+ "eval_bleu": 0.5243968237197109,
340
+ "eval_ce_clean_loss": 0.04710457952959197,
341
+ "eval_ce_pred_loss": 1.983201584327958,
342
+ "eval_flow_consistency_loss": 0.1771627469802462,
343
+ "eval_flow_mse_loss": 1.3613082373828522,
344
+ "eval_loss": 3.4378016447461746,
345
+ "eval_runtime": 211.4833,
346
+ "eval_samples_per_second": 141.855,
347
+ "eval_steps_per_second": 2.218,
348
+ "flow/cos_sim": 0.8124718137387273,
349
+ "flow/improvement_ratio": 0.9934973734528271,
350
+ "flow/mag_ratio_mean": 0.8084665637280641,
351
+ "flow/mag_ratio_std": 0.1460826443964993,
352
+ "step": 9216
353
+ },
354
+ {
355
+ "epoch": 0.44131273299286744,
356
+ "grad_norm": 1.1792445182800293,
357
+ "learning_rate": 6.314377890922702e-05,
358
+ "loss": 3.483694553375244,
359
+ "step": 10240
360
+ },
361
+ {
362
+ "epoch": 0.44131273299286744,
363
+ "eval_bleu": 0.5229780570233495,
364
+ "eval_ce_clean_loss": 0.03847669055466967,
365
+ "eval_ce_pred_loss": 1.9717130175531545,
366
+ "eval_flow_consistency_loss": 0.1745341007452784,
367
+ "eval_flow_mse_loss": 1.330098978237811,
368
+ "eval_loss": 3.392926719905471,
369
+ "flow/cos_sim": 0.8148269875725703,
370
+ "flow/improvement_ratio": 0.9942930840225871,
371
+ "flow/mag_ratio_mean": 0.814103724224481,
372
+ "flow/mag_ratio_std": 0.1476088911612659,
373
+ "step": 10240
374
+ },
375
+ {
376
+ "epoch": 0.44131273299286744,
377
+ "eval_bleu": 0.5229780570233495,
378
+ "eval_ce_clean_loss": 0.03847669055466967,
379
+ "eval_ce_pred_loss": 1.9717130175531545,
380
+ "eval_flow_consistency_loss": 0.1745341007452784,
381
+ "eval_flow_mse_loss": 1.330098978237811,
382
+ "eval_loss": 3.392926719905471,
383
+ "eval_runtime": 211.9953,
384
+ "eval_samples_per_second": 141.513,
385
+ "eval_steps_per_second": 2.212,
386
+ "flow/cos_sim": 0.8148269875725703,
387
+ "flow/improvement_ratio": 0.9942930840225871,
388
+ "flow/mag_ratio_mean": 0.814103724224481,
389
+ "flow/mag_ratio_std": 0.1476088911612659,
390
+ "step": 10240
391
+ }
392
+ ],
393
+ "logging_steps": 1024,
394
+ "max_steps": 23204,
395
+ "num_input_tokens_seen": 0,
396
+ "num_train_epochs": 1,
397
+ "save_steps": 1024,
398
+ "stateful_callbacks": {
399
+ "TrainerControl": {
400
+ "args": {
401
+ "should_epoch_stop": false,
402
+ "should_evaluate": false,
403
+ "should_log": false,
404
+ "should_save": true,
405
+ "should_training_stop": false
406
+ },
407
+ "attributes": {}
408
+ }
409
+ },
410
+ "total_flos": 0.0,
411
+ "train_batch_size": 64,
412
+ "trial_name": null,
413
+ "trial_params": null
414
+ }
checkpoints-v5.11-c/checkpoint-10240/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8469bbc81a2ba0be2f5b44007faafd15c75615abe30f4f4e56171816d31caa5b
3
+ size 5137