Check commited on
Commit
176bd27
·
1 Parent(s): 8cc9060

"auto-commit"

Browse files
Files changed (19) hide show
  1. model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/config.json +0 -0
  2. model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/optimizer.pt +1 -1
  3. model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/preprocessor_config.json +0 -0
  4. model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/pytorch_model.bin +1 -1
  5. model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/rng_state.pth +1 -1
  6. model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/scaler.pt +1 -1
  7. model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/scheduler.pt +1 -1
  8. model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/trainer_state.json +799 -4
  9. model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/training_args.bin +0 -0
  10. model-bin/finetune/base/log/1629716349.3372576/events.out.tfevents.1629716349.74272264b15c.932.113 +3 -0
  11. model-bin/finetune/base/log/1629716986.7392747/events.out.tfevents.1629716986.74272264b15c.932.115 +3 -0
  12. model-bin/finetune/base/log/1629717626.7822158/events.out.tfevents.1629717626.74272264b15c.932.117 +3 -0
  13. model-bin/finetune/base/log/1629718254.5594208/events.out.tfevents.1629718254.74272264b15c.932.119 +3 -0
  14. model-bin/finetune/base/log/1629718890.2393265/events.out.tfevents.1629718890.74272264b15c.932.121 +3 -0
  15. model-bin/finetune/base/log/events.out.tfevents.1629716349.74272264b15c.932.112 +3 -0
  16. model-bin/finetune/base/log/events.out.tfevents.1629716986.74272264b15c.932.114 +3 -0
  17. model-bin/finetune/base/log/events.out.tfevents.1629717626.74272264b15c.932.116 +3 -0
  18. model-bin/finetune/base/log/events.out.tfevents.1629718254.74272264b15c.932.118 +3 -0
  19. model-bin/finetune/base/log/events.out.tfevents.1629718890.74272264b15c.932.120 +3 -0
model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/config.json RENAMED
File without changes
model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/optimizer.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e03e84e5e2de2e89040568474dda156560785611486ddbbf44cd0911321d2e76
3
  size 722165009
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:323678391e8aadc9775828253e4c8733881ea240ec250e28265f08422dc1a380
3
  size 722165009
model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/preprocessor_config.json RENAMED
File without changes
model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/pytorch_model.bin RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f92f6dd5c4cd6b68322679888c0d028d8c925f50b8fcc9151246d447856a9a25
3
  size 377909911
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:457fa8e92b572612d4a32aa7e0dbf42c00e47254b696c96af3d62dc6fc6344b9
3
  size 377909911
model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/rng_state.pth RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b2f28cddbdb9519b0485085cb45f99e6225363223e30b8696ba893fbb7357e30
3
  size 14503
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1e9b91ab2837003f2b1e91b19cf6006c8c2c0a0984748dadf42405e34c592d4a
3
  size 14503
model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/scaler.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0831c2a61563d74687eeabb1de647aeb187b95af92781ae63d6fd8ef10b4f0d4
3
  size 559
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f01615f858d0e4986be58d3b1cf8e6bbe2178c7de9f5b765fd848a808957723
3
  size 559
model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/scheduler.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:089a9b8de54c0783e318cf9f990e00793f7e5952b3884eecf995cc74fb273731
3
  size 623
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e83611e9c1dc8bb2d6bf8327aaeef82558ee28c64fa698894b902b504ed5edd4
3
  size 623
model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/trainer_state.json RENAMED
@@ -1,8 +1,8 @@
1
  {
2
  "best_metric": 0.2003221555132523,
3
  "best_model_checkpoint": "./model-bin/finetune/base/checkpoint-42807",
4
- "epoch": 363.99598393574297,
5
- "global_step": 45173,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
@@ -156837,11 +156837,806 @@
156837
  "eval_steps_per_second": 0.686,
156838
  "eval_wer": 0.2054794520547945,
156839
  "step": 45173
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
156840
  }
156841
  ],
156842
- "max_steps": 620000,
156843
  "num_train_epochs": 5000,
156844
- "total_flos": 1.2710145731316258e+20,
156845
  "trial_name": null,
156846
  "trial_params": null
156847
  }
 
1
  {
2
  "best_metric": 0.2003221555132523,
3
  "best_model_checkpoint": "./model-bin/finetune/base/checkpoint-42807",
4
+ "epoch": 366.0,
5
+ "global_step": 45796,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
 
156837
  "eval_steps_per_second": 0.686,
156838
  "eval_wer": 0.2054794520547945,
156839
  "step": 45173
156840
+ },
156841
+ {
156842
+ "epoch": 361.02,
156843
+ "learning_rate": 9.292339743589744e-06,
156844
+ "loss": 0.3835,
156845
+ "step": 45175
156846
+ },
156847
+ {
156848
+ "epoch": 361.06,
156849
+ "learning_rate": 9.292259615384615e-06,
156850
+ "loss": 0.3602,
156851
+ "step": 45180
156852
+ },
156853
+ {
156854
+ "epoch": 361.1,
156855
+ "learning_rate": 9.292179487179488e-06,
156856
+ "loss": 0.3974,
156857
+ "step": 45185
156858
+ },
156859
+ {
156860
+ "epoch": 361.14,
156861
+ "learning_rate": 9.29209935897436e-06,
156862
+ "loss": 0.4718,
156863
+ "step": 45190
156864
+ },
156865
+ {
156866
+ "epoch": 361.18,
156867
+ "learning_rate": 9.292019230769231e-06,
156868
+ "loss": 0.5956,
156869
+ "step": 45195
156870
+ },
156871
+ {
156872
+ "epoch": 361.22,
156873
+ "learning_rate": 9.291939102564104e-06,
156874
+ "loss": 1.0405,
156875
+ "step": 45200
156876
+ },
156877
+ {
156878
+ "epoch": 361.26,
156879
+ "learning_rate": 9.291858974358975e-06,
156880
+ "loss": 0.3789,
156881
+ "step": 45205
156882
+ },
156883
+ {
156884
+ "epoch": 361.3,
156885
+ "learning_rate": 9.291778846153847e-06,
156886
+ "loss": 0.3426,
156887
+ "step": 45210
156888
+ },
156889
+ {
156890
+ "epoch": 361.34,
156891
+ "learning_rate": 9.291698717948718e-06,
156892
+ "loss": 0.4088,
156893
+ "step": 45215
156894
+ },
156895
+ {
156896
+ "epoch": 361.38,
156897
+ "learning_rate": 9.291618589743591e-06,
156898
+ "loss": 0.7672,
156899
+ "step": 45220
156900
+ },
156901
+ {
156902
+ "epoch": 361.42,
156903
+ "learning_rate": 9.291538461538463e-06,
156904
+ "loss": 1.1723,
156905
+ "step": 45225
156906
+ },
156907
+ {
156908
+ "epoch": 361.46,
156909
+ "learning_rate": 9.291458333333334e-06,
156910
+ "loss": 0.3007,
156911
+ "step": 45230
156912
+ },
156913
+ {
156914
+ "epoch": 361.5,
156915
+ "learning_rate": 9.291378205128207e-06,
156916
+ "loss": 0.3785,
156917
+ "step": 45235
156918
+ },
156919
+ {
156920
+ "epoch": 361.54,
156921
+ "learning_rate": 9.291298076923078e-06,
156922
+ "loss": 0.3804,
156923
+ "step": 45240
156924
+ },
156925
+ {
156926
+ "epoch": 361.58,
156927
+ "learning_rate": 9.29121794871795e-06,
156928
+ "loss": 0.75,
156929
+ "step": 45245
156930
+ },
156931
+ {
156932
+ "epoch": 361.62,
156933
+ "learning_rate": 9.291137820512821e-06,
156934
+ "loss": 1.0444,
156935
+ "step": 45250
156936
+ },
156937
+ {
156938
+ "epoch": 361.66,
156939
+ "learning_rate": 9.291057692307694e-06,
156940
+ "loss": 0.3557,
156941
+ "step": 45255
156942
+ },
156943
+ {
156944
+ "epoch": 361.7,
156945
+ "learning_rate": 9.290977564102564e-06,
156946
+ "loss": 0.3839,
156947
+ "step": 45260
156948
+ },
156949
+ {
156950
+ "epoch": 361.74,
156951
+ "learning_rate": 9.290897435897437e-06,
156952
+ "loss": 0.4331,
156953
+ "step": 45265
156954
+ },
156955
+ {
156956
+ "epoch": 361.78,
156957
+ "learning_rate": 9.290817307692308e-06,
156958
+ "loss": 0.742,
156959
+ "step": 45270
156960
+ },
156961
+ {
156962
+ "epoch": 361.82,
156963
+ "learning_rate": 9.29073717948718e-06,
156964
+ "loss": 1.2639,
156965
+ "step": 45275
156966
+ },
156967
+ {
156968
+ "epoch": 361.86,
156969
+ "learning_rate": 9.290657051282051e-06,
156970
+ "loss": 0.3131,
156971
+ "step": 45280
156972
+ },
156973
+ {
156974
+ "epoch": 361.9,
156975
+ "learning_rate": 9.290576923076924e-06,
156976
+ "loss": 0.3454,
156977
+ "step": 45285
156978
+ },
156979
+ {
156980
+ "epoch": 361.94,
156981
+ "learning_rate": 9.290496794871795e-06,
156982
+ "loss": 0.4017,
156983
+ "step": 45290
156984
+ },
156985
+ {
156986
+ "epoch": 361.98,
156987
+ "learning_rate": 9.290416666666667e-06,
156988
+ "loss": 1.0668,
156989
+ "step": 45295
156990
+ },
156991
+ {
156992
+ "epoch": 362.0,
156993
+ "eval_loss": 0.41494983434677124,
156994
+ "eval_runtime": 39.7716,
156995
+ "eval_samples_per_second": 21.221,
156996
+ "eval_steps_per_second": 0.679,
156997
+ "eval_wer": 0.2089183094493344,
156998
+ "step": 45298
156999
+ },
157000
+ {
157001
+ "epoch": 362.02,
157002
+ "learning_rate": 9.29033653846154e-06,
157003
+ "loss": 0.3509,
157004
+ "step": 45300
157005
+ },
157006
+ {
157007
+ "epoch": 362.06,
157008
+ "learning_rate": 9.290256410256411e-06,
157009
+ "loss": 0.3,
157010
+ "step": 45305
157011
+ },
157012
+ {
157013
+ "epoch": 362.1,
157014
+ "learning_rate": 9.290176282051282e-06,
157015
+ "loss": 0.3262,
157016
+ "step": 45310
157017
+ },
157018
+ {
157019
+ "epoch": 362.14,
157020
+ "learning_rate": 9.290096153846154e-06,
157021
+ "loss": 0.3682,
157022
+ "step": 45315
157023
+ },
157024
+ {
157025
+ "epoch": 362.18,
157026
+ "learning_rate": 9.290016025641027e-06,
157027
+ "loss": 0.6127,
157028
+ "step": 45320
157029
+ },
157030
+ {
157031
+ "epoch": 362.22,
157032
+ "learning_rate": 9.289935897435898e-06,
157033
+ "loss": 1.1148,
157034
+ "step": 45325
157035
+ },
157036
+ {
157037
+ "epoch": 362.25,
157038
+ "learning_rate": 9.28985576923077e-06,
157039
+ "loss": 0.3755,
157040
+ "step": 45330
157041
+ },
157042
+ {
157043
+ "epoch": 362.29,
157044
+ "learning_rate": 9.289775641025643e-06,
157045
+ "loss": 0.3959,
157046
+ "step": 45335
157047
+ },
157048
+ {
157049
+ "epoch": 362.33,
157050
+ "learning_rate": 9.289695512820514e-06,
157051
+ "loss": 0.4437,
157052
+ "step": 45340
157053
+ },
157054
+ {
157055
+ "epoch": 362.37,
157056
+ "learning_rate": 9.289615384615385e-06,
157057
+ "loss": 0.71,
157058
+ "step": 45345
157059
+ },
157060
+ {
157061
+ "epoch": 362.41,
157062
+ "learning_rate": 9.289535256410257e-06,
157063
+ "loss": 1.124,
157064
+ "step": 45350
157065
+ },
157066
+ {
157067
+ "epoch": 362.45,
157068
+ "learning_rate": 9.28945512820513e-06,
157069
+ "loss": 0.3581,
157070
+ "step": 45355
157071
+ },
157072
+ {
157073
+ "epoch": 362.49,
157074
+ "learning_rate": 9.289375000000001e-06,
157075
+ "loss": 0.36,
157076
+ "step": 45360
157077
+ },
157078
+ {
157079
+ "epoch": 362.53,
157080
+ "learning_rate": 9.289294871794873e-06,
157081
+ "loss": 0.3602,
157082
+ "step": 45365
157083
+ },
157084
+ {
157085
+ "epoch": 362.57,
157086
+ "learning_rate": 9.289214743589744e-06,
157087
+ "loss": 0.7426,
157088
+ "step": 45370
157089
+ },
157090
+ {
157091
+ "epoch": 362.61,
157092
+ "learning_rate": 9.289134615384617e-06,
157093
+ "loss": 1.2191,
157094
+ "step": 45375
157095
+ },
157096
+ {
157097
+ "epoch": 362.65,
157098
+ "learning_rate": 9.289054487179487e-06,
157099
+ "loss": 0.4004,
157100
+ "step": 45380
157101
+ },
157102
+ {
157103
+ "epoch": 362.69,
157104
+ "learning_rate": 9.28897435897436e-06,
157105
+ "loss": 0.4166,
157106
+ "step": 45385
157107
+ },
157108
+ {
157109
+ "epoch": 362.73,
157110
+ "learning_rate": 9.288894230769233e-06,
157111
+ "loss": 0.4326,
157112
+ "step": 45390
157113
+ },
157114
+ {
157115
+ "epoch": 362.77,
157116
+ "learning_rate": 9.288814102564102e-06,
157117
+ "loss": 0.7307,
157118
+ "step": 45395
157119
+ },
157120
+ {
157121
+ "epoch": 362.81,
157122
+ "learning_rate": 9.288733974358975e-06,
157123
+ "loss": 1.0404,
157124
+ "step": 45400
157125
+ },
157126
+ {
157127
+ "epoch": 362.85,
157128
+ "learning_rate": 9.288653846153847e-06,
157129
+ "loss": 0.3228,
157130
+ "step": 45405
157131
+ },
157132
+ {
157133
+ "epoch": 362.89,
157134
+ "learning_rate": 9.288573717948718e-06,
157135
+ "loss": 0.4026,
157136
+ "step": 45410
157137
+ },
157138
+ {
157139
+ "epoch": 362.93,
157140
+ "learning_rate": 9.28849358974359e-06,
157141
+ "loss": 0.369,
157142
+ "step": 45415
157143
+ },
157144
+ {
157145
+ "epoch": 362.97,
157146
+ "learning_rate": 9.288413461538463e-06,
157147
+ "loss": 0.7,
157148
+ "step": 45420
157149
+ },
157150
+ {
157151
+ "epoch": 363.0,
157152
+ "eval_loss": 0.4071485996246338,
157153
+ "eval_runtime": 38.9922,
157154
+ "eval_samples_per_second": 21.645,
157155
+ "eval_steps_per_second": 0.692,
157156
+ "eval_wer": 0.213078618662748,
157157
+ "step": 45423
157158
+ },
157159
+ {
157160
+ "epoch": 366.02,
157161
+ "learning_rate": 9.288333333333334e-06,
157162
+ "loss": 0.4014,
157163
+ "step": 45425
157164
+ },
157165
+ {
157166
+ "epoch": 366.06,
157167
+ "learning_rate": 9.288253205128205e-06,
157168
+ "loss": 0.3133,
157169
+ "step": 45430
157170
+ },
157171
+ {
157172
+ "epoch": 366.1,
157173
+ "learning_rate": 9.288173076923078e-06,
157174
+ "loss": 0.3504,
157175
+ "step": 45435
157176
+ },
157177
+ {
157178
+ "epoch": 366.14,
157179
+ "learning_rate": 9.28809294871795e-06,
157180
+ "loss": 0.3995,
157181
+ "step": 45440
157182
+ },
157183
+ {
157184
+ "epoch": 366.18,
157185
+ "learning_rate": 9.288012820512821e-06,
157186
+ "loss": 0.6585,
157187
+ "step": 45445
157188
+ },
157189
+ {
157190
+ "epoch": 366.22,
157191
+ "learning_rate": 9.287932692307692e-06,
157192
+ "loss": 1.3226,
157193
+ "step": 45450
157194
+ },
157195
+ {
157196
+ "epoch": 366.26,
157197
+ "learning_rate": 9.287852564102565e-06,
157198
+ "loss": 0.6021,
157199
+ "step": 45455
157200
+ },
157201
+ {
157202
+ "epoch": 366.3,
157203
+ "learning_rate": 9.287772435897437e-06,
157204
+ "loss": 0.3472,
157205
+ "step": 45460
157206
+ },
157207
+ {
157208
+ "epoch": 366.34,
157209
+ "learning_rate": 9.287692307692308e-06,
157210
+ "loss": 0.471,
157211
+ "step": 45465
157212
+ },
157213
+ {
157214
+ "epoch": 366.38,
157215
+ "learning_rate": 9.28761217948718e-06,
157216
+ "loss": 0.7762,
157217
+ "step": 45470
157218
+ },
157219
+ {
157220
+ "epoch": 366.42,
157221
+ "learning_rate": 9.287532051282053e-06,
157222
+ "loss": 1.0868,
157223
+ "step": 45475
157224
+ },
157225
+ {
157226
+ "epoch": 366.46,
157227
+ "learning_rate": 9.287451923076924e-06,
157228
+ "loss": 0.3655,
157229
+ "step": 45480
157230
+ },
157231
+ {
157232
+ "epoch": 366.5,
157233
+ "learning_rate": 9.287371794871795e-06,
157234
+ "loss": 0.3321,
157235
+ "step": 45485
157236
+ },
157237
+ {
157238
+ "epoch": 366.54,
157239
+ "learning_rate": 9.287291666666668e-06,
157240
+ "loss": 0.5079,
157241
+ "step": 45490
157242
+ },
157243
+ {
157244
+ "epoch": 366.58,
157245
+ "learning_rate": 9.28721153846154e-06,
157246
+ "loss": 0.766,
157247
+ "step": 45495
157248
+ },
157249
+ {
157250
+ "epoch": 366.62,
157251
+ "learning_rate": 9.287131410256411e-06,
157252
+ "loss": 1.1498,
157253
+ "step": 45500
157254
+ },
157255
+ {
157256
+ "epoch": 366.66,
157257
+ "learning_rate": 9.287051282051282e-06,
157258
+ "loss": 0.3382,
157259
+ "step": 45505
157260
+ },
157261
+ {
157262
+ "epoch": 366.7,
157263
+ "learning_rate": 9.286971153846155e-06,
157264
+ "loss": 0.3356,
157265
+ "step": 45510
157266
+ },
157267
+ {
157268
+ "epoch": 366.74,
157269
+ "learning_rate": 9.286891025641027e-06,
157270
+ "loss": 0.3995,
157271
+ "step": 45515
157272
+ },
157273
+ {
157274
+ "epoch": 366.78,
157275
+ "learning_rate": 9.286810897435898e-06,
157276
+ "loss": 0.6504,
157277
+ "step": 45520
157278
+ },
157279
+ {
157280
+ "epoch": 366.82,
157281
+ "learning_rate": 9.28673076923077e-06,
157282
+ "loss": 1.2519,
157283
+ "step": 45525
157284
+ },
157285
+ {
157286
+ "epoch": 366.86,
157287
+ "learning_rate": 9.286650641025643e-06,
157288
+ "loss": 0.3346,
157289
+ "step": 45530
157290
+ },
157291
+ {
157292
+ "epoch": 366.9,
157293
+ "learning_rate": 9.286570512820512e-06,
157294
+ "loss": 0.4175,
157295
+ "step": 45535
157296
+ },
157297
+ {
157298
+ "epoch": 366.94,
157299
+ "learning_rate": 9.286490384615385e-06,
157300
+ "loss": 0.4086,
157301
+ "step": 45540
157302
+ },
157303
+ {
157304
+ "epoch": 366.98,
157305
+ "learning_rate": 9.286410256410258e-06,
157306
+ "loss": 0.7602,
157307
+ "step": 45545
157308
+ },
157309
+ {
157310
+ "epoch": 367.0,
157311
+ "eval_loss": 0.4091971218585968,
157312
+ "eval_runtime": 39.6231,
157313
+ "eval_samples_per_second": 21.301,
157314
+ "eval_steps_per_second": 0.681,
157315
+ "eval_wer": 0.20468468468468468,
157316
+ "step": 45547
157317
+ },
157318
+ {
157319
+ "epoch": 367.02,
157320
+ "learning_rate": 9.286330128205128e-06,
157321
+ "loss": 0.406,
157322
+ "step": 45550
157323
+ },
157324
+ {
157325
+ "epoch": 367.06,
157326
+ "learning_rate": 9.286250000000001e-06,
157327
+ "loss": 0.3524,
157328
+ "step": 45555
157329
+ },
157330
+ {
157331
+ "epoch": 367.1,
157332
+ "learning_rate": 9.286169871794872e-06,
157333
+ "loss": 0.3638,
157334
+ "step": 45560
157335
+ },
157336
+ {
157337
+ "epoch": 367.14,
157338
+ "learning_rate": 9.286089743589744e-06,
157339
+ "loss": 0.3811,
157340
+ "step": 45565
157341
+ },
157342
+ {
157343
+ "epoch": 367.18,
157344
+ "learning_rate": 9.286009615384615e-06,
157345
+ "loss": 0.8961,
157346
+ "step": 45570
157347
+ },
157348
+ {
157349
+ "epoch": 367.22,
157350
+ "learning_rate": 9.285929487179488e-06,
157351
+ "loss": 1.0123,
157352
+ "step": 45575
157353
+ },
157354
+ {
157355
+ "epoch": 367.27,
157356
+ "learning_rate": 9.28584935897436e-06,
157357
+ "loss": 0.3578,
157358
+ "step": 45580
157359
+ },
157360
+ {
157361
+ "epoch": 367.31,
157362
+ "learning_rate": 9.285769230769231e-06,
157363
+ "loss": 0.3532,
157364
+ "step": 45585
157365
+ },
157366
+ {
157367
+ "epoch": 367.35,
157368
+ "learning_rate": 9.285689102564104e-06,
157369
+ "loss": 0.4196,
157370
+ "step": 45590
157371
+ },
157372
+ {
157373
+ "epoch": 367.39,
157374
+ "learning_rate": 9.285608974358975e-06,
157375
+ "loss": 0.8072,
157376
+ "step": 45595
157377
+ },
157378
+ {
157379
+ "epoch": 367.43,
157380
+ "learning_rate": 9.285528846153847e-06,
157381
+ "loss": 0.8262,
157382
+ "step": 45600
157383
+ },
157384
+ {
157385
+ "epoch": 367.47,
157386
+ "learning_rate": 9.285448717948718e-06,
157387
+ "loss": 0.3115,
157388
+ "step": 45605
157389
+ },
157390
+ {
157391
+ "epoch": 367.51,
157392
+ "learning_rate": 9.285368589743591e-06,
157393
+ "loss": 0.3387,
157394
+ "step": 45610
157395
+ },
157396
+ {
157397
+ "epoch": 367.55,
157398
+ "learning_rate": 9.285288461538462e-06,
157399
+ "loss": 0.4252,
157400
+ "step": 45615
157401
+ },
157402
+ {
157403
+ "epoch": 367.59,
157404
+ "learning_rate": 9.285208333333334e-06,
157405
+ "loss": 0.8838,
157406
+ "step": 45620
157407
+ },
157408
+ {
157409
+ "epoch": 367.63,
157410
+ "learning_rate": 9.285128205128205e-06,
157411
+ "loss": 0.8291,
157412
+ "step": 45625
157413
+ },
157414
+ {
157415
+ "epoch": 367.67,
157416
+ "learning_rate": 9.285048076923078e-06,
157417
+ "loss": 0.3431,
157418
+ "step": 45630
157419
+ },
157420
+ {
157421
+ "epoch": 367.71,
157422
+ "learning_rate": 9.28496794871795e-06,
157423
+ "loss": 0.3532,
157424
+ "step": 45635
157425
+ },
157426
+ {
157427
+ "epoch": 367.75,
157428
+ "learning_rate": 9.284887820512821e-06,
157429
+ "loss": 0.4254,
157430
+ "step": 45640
157431
+ },
157432
+ {
157433
+ "epoch": 367.79,
157434
+ "learning_rate": 9.284807692307694e-06,
157435
+ "loss": 0.8985,
157436
+ "step": 45645
157437
+ },
157438
+ {
157439
+ "epoch": 367.83,
157440
+ "learning_rate": 9.284727564102565e-06,
157441
+ "loss": 0.9471,
157442
+ "step": 45650
157443
+ },
157444
+ {
157445
+ "epoch": 367.87,
157446
+ "learning_rate": 9.284647435897437e-06,
157447
+ "loss": 0.3077,
157448
+ "step": 45655
157449
+ },
157450
+ {
157451
+ "epoch": 367.91,
157452
+ "learning_rate": 9.284567307692308e-06,
157453
+ "loss": 0.4046,
157454
+ "step": 45660
157455
+ },
157456
+ {
157457
+ "epoch": 367.95,
157458
+ "learning_rate": 9.284487179487181e-06,
157459
+ "loss": 0.4621,
157460
+ "step": 45665
157461
+ },
157462
+ {
157463
+ "epoch": 367.99,
157464
+ "learning_rate": 9.284407051282052e-06,
157465
+ "loss": 0.8468,
157466
+ "step": 45670
157467
+ },
157468
+ {
157469
+ "epoch": 368.0,
157470
+ "eval_loss": 0.43238022923469543,
157471
+ "eval_runtime": 39.5066,
157472
+ "eval_samples_per_second": 21.364,
157473
+ "eval_steps_per_second": 0.683,
157474
+ "eval_wer": 0.20307802433786687,
157475
+ "step": 45671
157476
+ },
157477
+ {
157478
+ "epoch": 365.03,
157479
+ "learning_rate": 9.284326923076924e-06,
157480
+ "loss": 0.4539,
157481
+ "step": 45675
157482
+ },
157483
+ {
157484
+ "epoch": 365.07,
157485
+ "learning_rate": 9.284246794871795e-06,
157486
+ "loss": 0.3296,
157487
+ "step": 45680
157488
+ },
157489
+ {
157490
+ "epoch": 365.11,
157491
+ "learning_rate": 9.284166666666668e-06,
157492
+ "loss": 0.3608,
157493
+ "step": 45685
157494
+ },
157495
+ {
157496
+ "epoch": 365.15,
157497
+ "learning_rate": 9.28408653846154e-06,
157498
+ "loss": 0.4521,
157499
+ "step": 45690
157500
+ },
157501
+ {
157502
+ "epoch": 365.19,
157503
+ "learning_rate": 9.284006410256411e-06,
157504
+ "loss": 1.0097,
157505
+ "step": 45695
157506
+ },
157507
+ {
157508
+ "epoch": 365.23,
157509
+ "learning_rate": 9.283926282051284e-06,
157510
+ "loss": 0.7506,
157511
+ "step": 45700
157512
+ },
157513
+ {
157514
+ "epoch": 365.27,
157515
+ "learning_rate": 9.283846153846154e-06,
157516
+ "loss": 0.3328,
157517
+ "step": 45705
157518
+ },
157519
+ {
157520
+ "epoch": 365.31,
157521
+ "learning_rate": 9.283766025641027e-06,
157522
+ "loss": 0.37,
157523
+ "step": 45710
157524
+ },
157525
+ {
157526
+ "epoch": 365.35,
157527
+ "learning_rate": 9.283685897435898e-06,
157528
+ "loss": 0.5818,
157529
+ "step": 45715
157530
+ },
157531
+ {
157532
+ "epoch": 365.39,
157533
+ "learning_rate": 9.28360576923077e-06,
157534
+ "loss": 0.9629,
157535
+ "step": 45720
157536
+ },
157537
+ {
157538
+ "epoch": 365.43,
157539
+ "learning_rate": 9.28352564102564e-06,
157540
+ "loss": 0.7497,
157541
+ "step": 45725
157542
+ },
157543
+ {
157544
+ "epoch": 365.47,
157545
+ "learning_rate": 9.283445512820514e-06,
157546
+ "loss": 0.3164,
157547
+ "step": 45730
157548
+ },
157549
+ {
157550
+ "epoch": 365.51,
157551
+ "learning_rate": 9.283365384615385e-06,
157552
+ "loss": 0.4934,
157553
+ "step": 45735
157554
+ },
157555
+ {
157556
+ "epoch": 365.55,
157557
+ "learning_rate": 9.283285256410257e-06,
157558
+ "loss": 0.5097,
157559
+ "step": 45740
157560
+ },
157561
+ {
157562
+ "epoch": 365.59,
157563
+ "learning_rate": 9.28320512820513e-06,
157564
+ "loss": 1.0495,
157565
+ "step": 45745
157566
+ },
157567
+ {
157568
+ "epoch": 365.63,
157569
+ "learning_rate": 9.283125000000001e-06,
157570
+ "loss": 0.804,
157571
+ "step": 45750
157572
+ },
157573
+ {
157574
+ "epoch": 365.67,
157575
+ "learning_rate": 9.283044871794872e-06,
157576
+ "loss": 0.3411,
157577
+ "step": 45755
157578
+ },
157579
+ {
157580
+ "epoch": 365.71,
157581
+ "learning_rate": 9.282964743589744e-06,
157582
+ "loss": 0.4465,
157583
+ "step": 45760
157584
+ },
157585
+ {
157586
+ "epoch": 365.75,
157587
+ "learning_rate": 9.282884615384617e-06,
157588
+ "loss": 0.516,
157589
+ "step": 45765
157590
+ },
157591
+ {
157592
+ "epoch": 365.79,
157593
+ "learning_rate": 9.282804487179488e-06,
157594
+ "loss": 1.0235,
157595
+ "step": 45770
157596
+ },
157597
+ {
157598
+ "epoch": 365.83,
157599
+ "learning_rate": 9.28272435897436e-06,
157600
+ "loss": 0.8737,
157601
+ "step": 45775
157602
+ },
157603
+ {
157604
+ "epoch": 365.87,
157605
+ "learning_rate": 9.282644230769231e-06,
157606
+ "loss": 0.352,
157607
+ "step": 45780
157608
+ },
157609
+ {
157610
+ "epoch": 365.91,
157611
+ "learning_rate": 9.282564102564104e-06,
157612
+ "loss": 0.3786,
157613
+ "step": 45785
157614
+ },
157615
+ {
157616
+ "epoch": 365.95,
157617
+ "learning_rate": 9.282483974358975e-06,
157618
+ "loss": 0.4306,
157619
+ "step": 45790
157620
+ },
157621
+ {
157622
+ "epoch": 365.99,
157623
+ "learning_rate": 9.282403846153847e-06,
157624
+ "loss": 1.0093,
157625
+ "step": 45795
157626
+ },
157627
+ {
157628
+ "epoch": 366.0,
157629
+ "eval_loss": 0.5088355541229248,
157630
+ "eval_runtime": 38.1999,
157631
+ "eval_samples_per_second": 22.094,
157632
+ "eval_steps_per_second": 0.707,
157633
+ "eval_wer": 0.21347227391142537,
157634
+ "step": 45796
157635
  }
157636
  ],
157637
+ "max_steps": 625000,
157638
  "num_train_epochs": 5000,
157639
+ "total_flos": 1.2885530878567088e+20,
157640
  "trial_name": null,
157641
  "trial_params": null
157642
  }
model-bin/finetune/base/{checkpoint-45173 → checkpoint-45796}/training_args.bin RENAMED
File without changes
model-bin/finetune/base/log/1629716349.3372576/events.out.tfevents.1629716349.74272264b15c.932.113 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9fdfcf5ae9977582cb7d229e1a93a827bb1e46537e935c68c71c7a765d13922d
3
+ size 4194
model-bin/finetune/base/log/1629716986.7392747/events.out.tfevents.1629716986.74272264b15c.932.115 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e4a97bfe9be88c07acda451139a47eecb261c5e79d49acb35fe5d69e8b21213
3
+ size 4194
model-bin/finetune/base/log/1629717626.7822158/events.out.tfevents.1629717626.74272264b15c.932.117 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ebfb387e03c60efba9c159abdb6c572b0645523354916240abc1e0a2c5f6615a
3
+ size 4194
model-bin/finetune/base/log/1629718254.5594208/events.out.tfevents.1629718254.74272264b15c.932.119 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f45faf860c1c40e46eeb7ee328a1f5abb475208e18391bdd6d6a334643fcceb1
3
+ size 4194
model-bin/finetune/base/log/1629718890.2393265/events.out.tfevents.1629718890.74272264b15c.932.121 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d19ea4700f1e680d54d613141a92a3a29aa9d6c422917a7a71bb63b5f9c3464f
3
+ size 4194
model-bin/finetune/base/log/events.out.tfevents.1629716349.74272264b15c.932.112 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c00a0b0aec25277d40f15bc33a14fd33525ae7bb8b106d9bb34f9116859cd10
3
+ size 8622
model-bin/finetune/base/log/events.out.tfevents.1629716986.74272264b15c.932.114 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6e79a408c1035141ebf6fa59d4f9c89568c9647f47a1d08fead70747547a9776
3
+ size 8622
model-bin/finetune/base/log/events.out.tfevents.1629717626.74272264b15c.932.116 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2da48c63ea22386d7444e485477b0622434a7b46ac92484e83854532dfa704bf
3
+ size 8622
model-bin/finetune/base/log/events.out.tfevents.1629718254.74272264b15c.932.118 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:414249b55d36f0b0089686673da61791ad1b2dd6b996d80c6b17ec64192aa477
3
+ size 8622
model-bin/finetune/base/log/events.out.tfevents.1629718890.74272264b15c.932.120 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:957eab446f8f452ff6b415b29ec3e7b8b0c56d4396c35eda153192914cbb8391
3
+ size 8622