WYTsai7660 commited on
Commit
0b9cf79
·
verified ·
1 Parent(s): b9f9105

Upload folder using huggingface_hub

Browse files
Files changed (47) hide show
  1. .gitattributes +2 -0
  2. 10302000_full/01_scene/checkpoint-300/model.safetensors +3 -0
  3. 10302000_full/01_scene/checkpoint-300/optimizer.pt +3 -0
  4. 10302000_full/01_scene/checkpoint-300/rng_state.pth +3 -0
  5. 10302000_full/01_scene/checkpoint-300/scheduler.pt +3 -0
  6. 10302000_full/01_scene/checkpoint-300/trainer_state.json +108 -0
  7. 10302000_full/01_scene/checkpoint-300/training_args.bin +3 -0
  8. 10302000_full/01_scene/checkpoint-800/model.safetensors +3 -0
  9. 10302000_full/01_scene/checkpoint-800/optimizer.pt +3 -0
  10. 10302000_full/01_scene/checkpoint-800/rng_state.pth +3 -0
  11. 10302000_full/01_scene/checkpoint-800/scheduler.pt +3 -0
  12. 10302000_full/01_scene/checkpoint-800/trainer_state.json +218 -0
  13. 10302000_full/01_scene/checkpoint-800/training_args.bin +3 -0
  14. 10302000_full/02_distortion/checkpoint-1300/model.safetensors +3 -0
  15. 10302000_full/02_distortion/checkpoint-1300/optimizer.pt +3 -0
  16. 10302000_full/02_distortion/checkpoint-1300/rng_state.pth +3 -0
  17. 10302000_full/02_distortion/checkpoint-1300/scheduler.pt +3 -0
  18. 10302000_full/02_distortion/checkpoint-1300/trainer_state.json +328 -0
  19. 10302000_full/02_distortion/checkpoint-1300/training_args.bin +3 -0
  20. 10302000_full/02_distortion/checkpoint-800/model.safetensors +3 -0
  21. 10302000_full/02_distortion/checkpoint-800/optimizer.pt +3 -0
  22. 10302000_full/02_distortion/checkpoint-800/rng_state.pth +3 -0
  23. 10302000_full/02_distortion/checkpoint-800/scheduler.pt +3 -0
  24. 10302000_full/02_distortion/checkpoint-800/trainer_state.json +218 -0
  25. 10302000_full/02_distortion/checkpoint-800/training_args.bin +3 -0
  26. 10302000_full/03_quality/checkpoint-1300/model.safetensors +3 -0
  27. 10302000_full/03_quality/checkpoint-1300/optimizer.pt +3 -0
  28. 10302000_full/03_quality/checkpoint-1300/rng_state.pth +3 -0
  29. 10302000_full/03_quality/checkpoint-1300/scheduler.pt +3 -0
  30. 10302000_full/03_quality/checkpoint-1300/trainer_state.json +432 -0
  31. 10302000_full/03_quality/checkpoint-1300/training_args.bin +3 -0
  32. 10302000_full/03_quality/checkpoint-800/model.safetensors +3 -0
  33. 10302000_full/03_quality/checkpoint-800/optimizer.pt +3 -0
  34. 10302000_full/03_quality/checkpoint-800/rng_state.pth +3 -0
  35. 10302000_full/03_quality/checkpoint-800/scheduler.pt +3 -0
  36. 10302000_full/03_quality/checkpoint-800/trainer_state.json +282 -0
  37. 10302000_full/03_quality/checkpoint-800/training_args.bin +3 -0
  38. 10302000_full/final_model/README.md +207 -0
  39. 10302000_full/final_model/adapter_config.json +42 -0
  40. 10302000_full/final_model/adapter_model.safetensors +3 -0
  41. 10302000_full/final_model/added_tokens.json +5 -0
  42. 10302000_full/final_model/eval_scatter_plot.png +3 -0
  43. 10302000_full/final_model/merges.txt +0 -0
  44. 10302000_full/final_model/special_tokens_map.json +20 -0
  45. 10302000_full/final_model/tokenizer.json +3 -0
  46. 10302000_full/final_model/tokenizer_config.json +44 -0
  47. 10302000_full/final_model/vocab.json +0 -0
.gitattributes CHANGED
@@ -39,3 +39,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
39
  10301000_scene/final_model/tokenizer.json filter=lfs diff=lfs merge=lfs -text
40
  10301400_distortion/final_model/eval_scatter_plot.png filter=lfs diff=lfs merge=lfs -text
41
  10301400_distortion/final_model/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
 
39
  10301000_scene/final_model/tokenizer.json filter=lfs diff=lfs merge=lfs -text
40
  10301400_distortion/final_model/eval_scatter_plot.png filter=lfs diff=lfs merge=lfs -text
41
  10301400_distortion/final_model/tokenizer.json filter=lfs diff=lfs merge=lfs -text
42
+ 10302000_full/final_model/eval_scatter_plot.png filter=lfs diff=lfs merge=lfs -text
43
+ 10302000_full/final_model/tokenizer.json filter=lfs diff=lfs merge=lfs -text
10302000_full/01_scene/checkpoint-300/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7181ba21f839a62062f55cf5b2b17cb1c74c933baef9178576c5012cbe9efdc9
3
+ size 16318734800
10302000_full/01_scene/checkpoint-300/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dd57d3025cda868cc8c1ffa02dd2669f9f56904962571bf32891c50fdc9ec593
3
+ size 346426383
10302000_full/01_scene/checkpoint-300/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:57b66e9a873382a15f1132970495fd76a152669d08dfe4779824f18973a5eebb
3
+ size 14645
10302000_full/01_scene/checkpoint-300/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:accdf7ab8b63f0e5a6da36129024cc0a3f7993a0f744a91f5ad304c5622f7645
3
+ size 1465
10302000_full/01_scene/checkpoint-300/trainer_state.json ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.031441543251276016,
3
+ "best_model_checkpoint": "outputs/10302000_full/01_scene/checkpoint-300",
4
+ "epoch": 0.3309431880860452,
5
+ "eval_steps": 100,
6
+ "global_step": 300,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05515719801434087,
13
+ "grad_norm": 7.211073875427246,
14
+ "learning_rate": 0.00012195121951219512,
15
+ "loss": 0.35,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.11031439602868175,
20
+ "grad_norm": 4.013247013092041,
21
+ "learning_rate": 0.0001999769904941157,
22
+ "loss": 0.0542,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 0.11031439602868175,
27
+ "eval_loss": 0.04501630738377571,
28
+ "eval_runtime": 162.973,
29
+ "eval_samples_per_second": 11.125,
30
+ "eval_steps_per_second": 11.125,
31
+ "step": 100
32
+ },
33
+ {
34
+ "epoch": 0.1654715940430226,
35
+ "grad_norm": 4.819284915924072,
36
+ "learning_rate": 0.00019967178452785585,
37
+ "loss": 0.0401,
38
+ "step": 150
39
+ },
40
+ {
41
+ "epoch": 0.2206287920573635,
42
+ "grad_norm": 2.392460823059082,
43
+ "learning_rate": 0.0001990127501865814,
44
+ "loss": 0.0353,
45
+ "step": 200
46
+ },
47
+ {
48
+ "epoch": 0.2206287920573635,
49
+ "eval_loss": 0.04001997783780098,
50
+ "eval_runtime": 162.9586,
51
+ "eval_samples_per_second": 11.126,
52
+ "eval_steps_per_second": 11.126,
53
+ "step": 200
54
+ },
55
+ {
56
+ "epoch": 0.27578599007170435,
57
+ "grad_norm": 3.6923370361328125,
58
+ "learning_rate": 0.0001980022269994896,
59
+ "loss": 0.0374,
60
+ "step": 250
61
+ },
62
+ {
63
+ "epoch": 0.3309431880860452,
64
+ "grad_norm": 1.7600138187408447,
65
+ "learning_rate": 0.00019664380225839926,
66
+ "loss": 0.0314,
67
+ "step": 300
68
+ },
69
+ {
70
+ "epoch": 0.3309431880860452,
71
+ "eval_loss": 0.031441543251276016,
72
+ "eval_runtime": 162.945,
73
+ "eval_samples_per_second": 11.126,
74
+ "eval_steps_per_second": 11.126,
75
+ "step": 300
76
+ }
77
+ ],
78
+ "logging_steps": 50,
79
+ "max_steps": 2718,
80
+ "num_input_tokens_seen": 0,
81
+ "num_train_epochs": 3,
82
+ "save_steps": 100,
83
+ "stateful_callbacks": {
84
+ "EarlyStoppingCallback": {
85
+ "args": {
86
+ "early_stopping_patience": 5,
87
+ "early_stopping_threshold": 0.0
88
+ },
89
+ "attributes": {
90
+ "early_stopping_patience_counter": 0
91
+ }
92
+ },
93
+ "TrainerControl": {
94
+ "args": {
95
+ "should_epoch_stop": false,
96
+ "should_evaluate": false,
97
+ "should_log": false,
98
+ "should_save": true,
99
+ "should_training_stop": false
100
+ },
101
+ "attributes": {}
102
+ }
103
+ },
104
+ "total_flos": 0.0,
105
+ "train_batch_size": 1,
106
+ "trial_name": null,
107
+ "trial_params": null
108
+ }
10302000_full/01_scene/checkpoint-300/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a94d7aef7547b994c14813867db9a32341e1e788c8f9372ea4a31427e99c8aa
3
+ size 5777
10302000_full/01_scene/checkpoint-800/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a534ad1357c07f967134a223e453cae1df9525963e3592eebc4b9243d81c932
3
+ size 16318734800
10302000_full/01_scene/checkpoint-800/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ccb727b6739aeee4da6dc4c3aec3838aedd6260e4765b96911554f70f338069
3
+ size 346426383
10302000_full/01_scene/checkpoint-800/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:23f9e817c129ca621daae9bd16bdb389220a5551ccd6c2d7561fd9546b87a95a
3
+ size 14645
10302000_full/01_scene/checkpoint-800/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f6abfb4d681afad7f03facbbb0c876f9fe4993cc0f1525af436f8ad8e605c5c
3
+ size 1465
10302000_full/01_scene/checkpoint-800/trainer_state.json ADDED
@@ -0,0 +1,218 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.031441543251276016,
3
+ "best_model_checkpoint": "outputs/10302000_full/01_scene/checkpoint-300",
4
+ "epoch": 0.882515168229454,
5
+ "eval_steps": 100,
6
+ "global_step": 800,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05515719801434087,
13
+ "grad_norm": 7.211073875427246,
14
+ "learning_rate": 0.00012195121951219512,
15
+ "loss": 0.35,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.11031439602868175,
20
+ "grad_norm": 4.013247013092041,
21
+ "learning_rate": 0.0001999769904941157,
22
+ "loss": 0.0542,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 0.11031439602868175,
27
+ "eval_loss": 0.04501630738377571,
28
+ "eval_runtime": 162.973,
29
+ "eval_samples_per_second": 11.125,
30
+ "eval_steps_per_second": 11.125,
31
+ "step": 100
32
+ },
33
+ {
34
+ "epoch": 0.1654715940430226,
35
+ "grad_norm": 4.819284915924072,
36
+ "learning_rate": 0.00019967178452785585,
37
+ "loss": 0.0401,
38
+ "step": 150
39
+ },
40
+ {
41
+ "epoch": 0.2206287920573635,
42
+ "grad_norm": 2.392460823059082,
43
+ "learning_rate": 0.0001990127501865814,
44
+ "loss": 0.0353,
45
+ "step": 200
46
+ },
47
+ {
48
+ "epoch": 0.2206287920573635,
49
+ "eval_loss": 0.04001997783780098,
50
+ "eval_runtime": 162.9586,
51
+ "eval_samples_per_second": 11.126,
52
+ "eval_steps_per_second": 11.126,
53
+ "step": 200
54
+ },
55
+ {
56
+ "epoch": 0.27578599007170435,
57
+ "grad_norm": 3.6923370361328125,
58
+ "learning_rate": 0.0001980022269994896,
59
+ "loss": 0.0374,
60
+ "step": 250
61
+ },
62
+ {
63
+ "epoch": 0.3309431880860452,
64
+ "grad_norm": 1.7600138187408447,
65
+ "learning_rate": 0.00019664380225839926,
66
+ "loss": 0.0314,
67
+ "step": 300
68
+ },
69
+ {
70
+ "epoch": 0.3309431880860452,
71
+ "eval_loss": 0.031441543251276016,
72
+ "eval_runtime": 162.945,
73
+ "eval_samples_per_second": 11.126,
74
+ "eval_steps_per_second": 11.126,
75
+ "step": 300
76
+ },
77
+ {
78
+ "epoch": 0.3861003861003861,
79
+ "grad_norm": 2.1462252140045166,
80
+ "learning_rate": 0.00019494229828309726,
81
+ "loss": 0.0325,
82
+ "step": 350
83
+ },
84
+ {
85
+ "epoch": 0.441257584114727,
86
+ "grad_norm": 4.849669933319092,
87
+ "learning_rate": 0.0001929037553024158,
88
+ "loss": 0.0367,
89
+ "step": 400
90
+ },
91
+ {
92
+ "epoch": 0.441257584114727,
93
+ "eval_loss": 0.04374614357948303,
94
+ "eval_runtime": 162.9597,
95
+ "eval_samples_per_second": 11.125,
96
+ "eval_steps_per_second": 11.125,
97
+ "step": 400
98
+ },
99
+ {
100
+ "epoch": 0.49641478212906787,
101
+ "grad_norm": 3.1866295337677,
102
+ "learning_rate": 0.00019053541001181153,
103
+ "loss": 0.0827,
104
+ "step": 450
105
+ },
106
+ {
107
+ "epoch": 0.5515719801434087,
108
+ "grad_norm": 3.378995180130005,
109
+ "learning_rate": 0.00018784566988356584,
110
+ "loss": 0.0953,
111
+ "step": 500
112
+ },
113
+ {
114
+ "epoch": 0.5515719801434087,
115
+ "eval_loss": 0.035981640219688416,
116
+ "eval_runtime": 162.9465,
117
+ "eval_samples_per_second": 11.126,
118
+ "eval_steps_per_second": 11.126,
119
+ "step": 500
120
+ },
121
+ {
122
+ "epoch": 0.6067291781577496,
123
+ "grad_norm": 2.2808432579040527,
124
+ "learning_rate": 0.00018484408332080296,
125
+ "loss": 0.032,
126
+ "step": 550
127
+ },
128
+ {
129
+ "epoch": 0.6618863761720905,
130
+ "grad_norm": 0.9201453924179077,
131
+ "learning_rate": 0.00018154130576127794,
132
+ "loss": 0.028,
133
+ "step": 600
134
+ },
135
+ {
136
+ "epoch": 0.6618863761720905,
137
+ "eval_loss": 0.03953522443771362,
138
+ "eval_runtime": 162.9708,
139
+ "eval_samples_per_second": 11.125,
140
+ "eval_steps_per_second": 11.125,
141
+ "step": 600
142
+ },
143
+ {
144
+ "epoch": 0.7170435741864313,
145
+ "grad_norm": 3.543931245803833,
146
+ "learning_rate": 0.00017794906185126307,
147
+ "loss": 0.0259,
148
+ "step": 650
149
+ },
150
+ {
151
+ "epoch": 0.7722007722007722,
152
+ "grad_norm": 2.209773302078247,
153
+ "learning_rate": 0.0001740801038238137,
154
+ "loss": 0.0281,
155
+ "step": 700
156
+ },
157
+ {
158
+ "epoch": 0.7722007722007722,
159
+ "eval_loss": 0.03907668963074684,
160
+ "eval_runtime": 162.9784,
161
+ "eval_samples_per_second": 11.124,
162
+ "eval_steps_per_second": 11.124,
163
+ "step": 700
164
+ },
165
+ {
166
+ "epoch": 0.827357970215113,
167
+ "grad_norm": 2.4935171604156494,
168
+ "learning_rate": 0.00016994816622916724,
169
+ "loss": 0.0242,
170
+ "step": 750
171
+ },
172
+ {
173
+ "epoch": 0.882515168229454,
174
+ "grad_norm": 2.3324661254882812,
175
+ "learning_rate": 0.0001655679171779801,
176
+ "loss": 0.0252,
177
+ "step": 800
178
+ },
179
+ {
180
+ "epoch": 0.882515168229454,
181
+ "eval_loss": 0.0319170244038105,
182
+ "eval_runtime": 162.9522,
183
+ "eval_samples_per_second": 11.126,
184
+ "eval_steps_per_second": 11.126,
185
+ "step": 800
186
+ }
187
+ ],
188
+ "logging_steps": 50,
189
+ "max_steps": 2718,
190
+ "num_input_tokens_seen": 0,
191
+ "num_train_epochs": 3,
192
+ "save_steps": 100,
193
+ "stateful_callbacks": {
194
+ "EarlyStoppingCallback": {
195
+ "args": {
196
+ "early_stopping_patience": 5,
197
+ "early_stopping_threshold": 0.0
198
+ },
199
+ "attributes": {
200
+ "early_stopping_patience_counter": 5
201
+ }
202
+ },
203
+ "TrainerControl": {
204
+ "args": {
205
+ "should_epoch_stop": false,
206
+ "should_evaluate": false,
207
+ "should_log": false,
208
+ "should_save": true,
209
+ "should_training_stop": true
210
+ },
211
+ "attributes": {}
212
+ }
213
+ },
214
+ "total_flos": 0.0,
215
+ "train_batch_size": 1,
216
+ "trial_name": null,
217
+ "trial_params": null
218
+ }
10302000_full/01_scene/checkpoint-800/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a94d7aef7547b994c14813867db9a32341e1e788c8f9372ea4a31427e99c8aa
3
+ size 5777
10302000_full/02_distortion/checkpoint-1300/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:566612776aa0b626e9c04c402e05b9cf783e6590d2a172989720dc9eea7f50b6
3
+ size 16318734800
10302000_full/02_distortion/checkpoint-1300/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:455fa3642b03193cbf950c21bacbce30e3df99cb2cb88f200fd4c097367b5996
3
+ size 346426383
10302000_full/02_distortion/checkpoint-1300/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9f31f6a3d4d2187aa7d04c9591e90bf61ae1bd3a5ed786050e082be51763d49f
3
+ size 14645
10302000_full/02_distortion/checkpoint-1300/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:efa7e2619b1972c904a264236840cb6f4a48f8a30e77a294592cf31567f370e3
3
+ size 1465
10302000_full/02_distortion/checkpoint-1300/trainer_state.json ADDED
@@ -0,0 +1,328 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.04455012083053589,
3
+ "best_model_checkpoint": "outputs/10302000_full/02_distortion/checkpoint-800",
4
+ "epoch": 1.4335355763927193,
5
+ "eval_steps": 100,
6
+ "global_step": 1300,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05515719801434087,
13
+ "grad_norm": 1.3377962112426758,
14
+ "learning_rate": 0.00012195121951219512,
15
+ "loss": 0.1294,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.11031439602868175,
20
+ "grad_norm": 1.6523388624191284,
21
+ "learning_rate": 0.0001999769904941157,
22
+ "loss": 0.0556,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 0.11031439602868175,
27
+ "eval_loss": 0.051050279289484024,
28
+ "eval_runtime": 171.4743,
29
+ "eval_samples_per_second": 10.573,
30
+ "eval_steps_per_second": 10.573,
31
+ "step": 100
32
+ },
33
+ {
34
+ "epoch": 0.1654715940430226,
35
+ "grad_norm": 2.9036033153533936,
36
+ "learning_rate": 0.00019967178452785585,
37
+ "loss": 0.0458,
38
+ "step": 150
39
+ },
40
+ {
41
+ "epoch": 0.2206287920573635,
42
+ "grad_norm": 2.11191725730896,
43
+ "learning_rate": 0.0001990127501865814,
44
+ "loss": 0.0421,
45
+ "step": 200
46
+ },
47
+ {
48
+ "epoch": 0.2206287920573635,
49
+ "eval_loss": 0.051304373890161514,
50
+ "eval_runtime": 171.3877,
51
+ "eval_samples_per_second": 10.578,
52
+ "eval_steps_per_second": 10.578,
53
+ "step": 200
54
+ },
55
+ {
56
+ "epoch": 0.27578599007170435,
57
+ "grad_norm": 1.5565705299377441,
58
+ "learning_rate": 0.0001980022269994896,
59
+ "loss": 0.0437,
60
+ "step": 250
61
+ },
62
+ {
63
+ "epoch": 0.3309431880860452,
64
+ "grad_norm": 1.7734652757644653,
65
+ "learning_rate": 0.00019664380225839926,
66
+ "loss": 0.0447,
67
+ "step": 300
68
+ },
69
+ {
70
+ "epoch": 0.3309431880860452,
71
+ "eval_loss": 0.05800703167915344,
72
+ "eval_runtime": 171.377,
73
+ "eval_samples_per_second": 10.579,
74
+ "eval_steps_per_second": 10.579,
75
+ "step": 300
76
+ },
77
+ {
78
+ "epoch": 0.3861003861003861,
79
+ "grad_norm": 2.717177152633667,
80
+ "learning_rate": 0.00019494229828309726,
81
+ "loss": 0.0513,
82
+ "step": 350
83
+ },
84
+ {
85
+ "epoch": 0.441257584114727,
86
+ "grad_norm": 1.9755767583847046,
87
+ "learning_rate": 0.0001929037553024158,
88
+ "loss": 0.0461,
89
+ "step": 400
90
+ },
91
+ {
92
+ "epoch": 0.441257584114727,
93
+ "eval_loss": 0.04763505980372429,
94
+ "eval_runtime": 171.5889,
95
+ "eval_samples_per_second": 10.566,
96
+ "eval_steps_per_second": 10.566,
97
+ "step": 400
98
+ },
99
+ {
100
+ "epoch": 0.49641478212906787,
101
+ "grad_norm": 2.066533088684082,
102
+ "learning_rate": 0.00019053541001181153,
103
+ "loss": 0.0403,
104
+ "step": 450
105
+ },
106
+ {
107
+ "epoch": 0.5515719801434087,
108
+ "grad_norm": 1.5352795124053955,
109
+ "learning_rate": 0.00018784566988356584,
110
+ "loss": 0.0409,
111
+ "step": 500
112
+ },
113
+ {
114
+ "epoch": 0.5515719801434087,
115
+ "eval_loss": 0.04639120027422905,
116
+ "eval_runtime": 171.3745,
117
+ "eval_samples_per_second": 10.579,
118
+ "eval_steps_per_second": 10.579,
119
+ "step": 500
120
+ },
121
+ {
122
+ "epoch": 0.6067291781577496,
123
+ "grad_norm": 2.086174964904785,
124
+ "learning_rate": 0.00018484408332080296,
125
+ "loss": 0.0433,
126
+ "step": 550
127
+ },
128
+ {
129
+ "epoch": 0.6618863761720905,
130
+ "grad_norm": 1.7900938987731934,
131
+ "learning_rate": 0.00018154130576127794,
132
+ "loss": 0.0402,
133
+ "step": 600
134
+ },
135
+ {
136
+ "epoch": 0.6618863761720905,
137
+ "eval_loss": 0.048071522265672684,
138
+ "eval_runtime": 171.3891,
139
+ "eval_samples_per_second": 10.578,
140
+ "eval_steps_per_second": 10.578,
141
+ "step": 600
142
+ },
143
+ {
144
+ "epoch": 0.7170435741864313,
145
+ "grad_norm": 309.98126220703125,
146
+ "learning_rate": 0.00017794906185126307,
147
+ "loss": 0.037,
148
+ "step": 650
149
+ },
150
+ {
151
+ "epoch": 0.7722007722007722,
152
+ "grad_norm": 1.4379602670669556,
153
+ "learning_rate": 0.0001740801038238137,
154
+ "loss": 0.0345,
155
+ "step": 700
156
+ },
157
+ {
158
+ "epoch": 0.7722007722007722,
159
+ "eval_loss": 0.05097845196723938,
160
+ "eval_runtime": 171.3896,
161
+ "eval_samples_per_second": 10.578,
162
+ "eval_steps_per_second": 10.578,
163
+ "step": 700
164
+ },
165
+ {
166
+ "epoch": 0.827357970215113,
167
+ "grad_norm": 2.1667776107788086,
168
+ "learning_rate": 0.00016994816622916724,
169
+ "loss": 0.0347,
170
+ "step": 750
171
+ },
172
+ {
173
+ "epoch": 0.882515168229454,
174
+ "grad_norm": 1.551637887954712,
175
+ "learning_rate": 0.0001655679171779801,
176
+ "loss": 0.0375,
177
+ "step": 800
178
+ },
179
+ {
180
+ "epoch": 0.882515168229454,
181
+ "eval_loss": 0.04455012083053589,
182
+ "eval_runtime": 171.4596,
183
+ "eval_samples_per_second": 10.574,
184
+ "eval_steps_per_second": 10.574,
185
+ "step": 800
186
+ },
187
+ {
188
+ "epoch": 0.9376723662437948,
189
+ "grad_norm": 1.5344250202178955,
190
+ "learning_rate": 0.00016095490627048551,
191
+ "loss": 0.0325,
192
+ "step": 850
193
+ },
194
+ {
195
+ "epoch": 0.9928295642581357,
196
+ "grad_norm": 1.479475736618042,
197
+ "learning_rate": 0.0001561255093964205,
198
+ "loss": 0.0353,
199
+ "step": 900
200
+ },
201
+ {
202
+ "epoch": 0.9928295642581357,
203
+ "eval_loss": 0.04886327311396599,
204
+ "eval_runtime": 171.4442,
205
+ "eval_samples_per_second": 10.575,
206
+ "eval_steps_per_second": 10.575,
207
+ "step": 900
208
+ },
209
+ {
210
+ "epoch": 1.0474351902923331,
211
+ "grad_norm": 1.4682869911193848,
212
+ "learning_rate": 0.0001510968706016788,
213
+ "loss": 0.0278,
214
+ "step": 950
215
+ },
216
+ {
217
+ "epoch": 1.102592388306674,
218
+ "grad_norm": 3.0045366287231445,
219
+ "learning_rate": 0.00014588684122805897,
220
+ "loss": 0.0293,
221
+ "step": 1000
222
+ },
223
+ {
224
+ "epoch": 1.102592388306674,
225
+ "eval_loss": 0.0576724112033844,
226
+ "eval_runtime": 171.5105,
227
+ "eval_samples_per_second": 10.571,
228
+ "eval_steps_per_second": 10.571,
229
+ "step": 1000
230
+ },
231
+ {
232
+ "epoch": 1.157749586321015,
233
+ "grad_norm": 2.6942219734191895,
234
+ "learning_rate": 0.00014051391654215802,
235
+ "loss": 0.0258,
236
+ "step": 1050
237
+ },
238
+ {
239
+ "epoch": 1.2129067843353558,
240
+ "grad_norm": 1.9268912076950073,
241
+ "learning_rate": 0.0001349971700783738,
242
+ "loss": 0.027,
243
+ "step": 1100
244
+ },
245
+ {
246
+ "epoch": 1.2129067843353558,
247
+ "eval_loss": 0.05314527824521065,
248
+ "eval_runtime": 171.5,
249
+ "eval_samples_per_second": 10.571,
250
+ "eval_steps_per_second": 10.571,
251
+ "step": 1100
252
+ },
253
+ {
254
+ "epoch": 1.2680639823496966,
255
+ "grad_norm": 1.4602032899856567,
256
+ "learning_rate": 0.00012935618592909418,
257
+ "loss": 0.0268,
258
+ "step": 1150
259
+ },
260
+ {
261
+ "epoch": 1.3232211803640375,
262
+ "grad_norm": 2.132002115249634,
263
+ "learning_rate": 0.0001236109892224381,
264
+ "loss": 0.0268,
265
+ "step": 1200
266
+ },
267
+ {
268
+ "epoch": 1.3232211803640375,
269
+ "eval_loss": 0.04979213699698448,
270
+ "eval_runtime": 171.4966,
271
+ "eval_samples_per_second": 10.572,
272
+ "eval_steps_per_second": 10.572,
273
+ "step": 1200
274
+ },
275
+ {
276
+ "epoch": 1.3783783783783785,
277
+ "grad_norm": 1.543311357498169,
278
+ "learning_rate": 0.000117781975034349,
279
+ "loss": 0.0237,
280
+ "step": 1250
281
+ },
282
+ {
283
+ "epoch": 1.4335355763927193,
284
+ "grad_norm": 2.9787299633026123,
285
+ "learning_rate": 0.00011188983598739675,
286
+ "loss": 0.0241,
287
+ "step": 1300
288
+ },
289
+ {
290
+ "epoch": 1.4335355763927193,
291
+ "eval_loss": 0.052592601627111435,
292
+ "eval_runtime": 171.5002,
293
+ "eval_samples_per_second": 10.571,
294
+ "eval_steps_per_second": 10.571,
295
+ "step": 1300
296
+ }
297
+ ],
298
+ "logging_steps": 50,
299
+ "max_steps": 2718,
300
+ "num_input_tokens_seen": 0,
301
+ "num_train_epochs": 3,
302
+ "save_steps": 100,
303
+ "stateful_callbacks": {
304
+ "EarlyStoppingCallback": {
305
+ "args": {
306
+ "early_stopping_patience": 5,
307
+ "early_stopping_threshold": 0.0
308
+ },
309
+ "attributes": {
310
+ "early_stopping_patience_counter": 5
311
+ }
312
+ },
313
+ "TrainerControl": {
314
+ "args": {
315
+ "should_epoch_stop": false,
316
+ "should_evaluate": false,
317
+ "should_log": false,
318
+ "should_save": true,
319
+ "should_training_stop": true
320
+ },
321
+ "attributes": {}
322
+ }
323
+ },
324
+ "total_flos": 0.0,
325
+ "train_batch_size": 1,
326
+ "trial_name": null,
327
+ "trial_params": null
328
+ }
10302000_full/02_distortion/checkpoint-1300/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09eb6beb0ab9417585b65aa2ceb3d21e58e0b3e1253b648012f50be2e59900a5
3
+ size 5777
10302000_full/02_distortion/checkpoint-800/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:10114598e05a024c2b6d415c0f4c354e5dfe961a4e6698dc4aa2ba7d88e2e24c
3
+ size 16318734800
10302000_full/02_distortion/checkpoint-800/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6360f4a51ed2f928d6abfe4e0e20697b406bc2280f1288ace59233b77f6a7611
3
+ size 346426383
10302000_full/02_distortion/checkpoint-800/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:23f9e817c129ca621daae9bd16bdb389220a5551ccd6c2d7561fd9546b87a95a
3
+ size 14645
10302000_full/02_distortion/checkpoint-800/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f6abfb4d681afad7f03facbbb0c876f9fe4993cc0f1525af436f8ad8e605c5c
3
+ size 1465
10302000_full/02_distortion/checkpoint-800/trainer_state.json ADDED
@@ -0,0 +1,218 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.04455012083053589,
3
+ "best_model_checkpoint": "outputs/10302000_full/02_distortion/checkpoint-800",
4
+ "epoch": 0.882515168229454,
5
+ "eval_steps": 100,
6
+ "global_step": 800,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05515719801434087,
13
+ "grad_norm": 1.3377962112426758,
14
+ "learning_rate": 0.00012195121951219512,
15
+ "loss": 0.1294,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.11031439602868175,
20
+ "grad_norm": 1.6523388624191284,
21
+ "learning_rate": 0.0001999769904941157,
22
+ "loss": 0.0556,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 0.11031439602868175,
27
+ "eval_loss": 0.051050279289484024,
28
+ "eval_runtime": 171.4743,
29
+ "eval_samples_per_second": 10.573,
30
+ "eval_steps_per_second": 10.573,
31
+ "step": 100
32
+ },
33
+ {
34
+ "epoch": 0.1654715940430226,
35
+ "grad_norm": 2.9036033153533936,
36
+ "learning_rate": 0.00019967178452785585,
37
+ "loss": 0.0458,
38
+ "step": 150
39
+ },
40
+ {
41
+ "epoch": 0.2206287920573635,
42
+ "grad_norm": 2.11191725730896,
43
+ "learning_rate": 0.0001990127501865814,
44
+ "loss": 0.0421,
45
+ "step": 200
46
+ },
47
+ {
48
+ "epoch": 0.2206287920573635,
49
+ "eval_loss": 0.051304373890161514,
50
+ "eval_runtime": 171.3877,
51
+ "eval_samples_per_second": 10.578,
52
+ "eval_steps_per_second": 10.578,
53
+ "step": 200
54
+ },
55
+ {
56
+ "epoch": 0.27578599007170435,
57
+ "grad_norm": 1.5565705299377441,
58
+ "learning_rate": 0.0001980022269994896,
59
+ "loss": 0.0437,
60
+ "step": 250
61
+ },
62
+ {
63
+ "epoch": 0.3309431880860452,
64
+ "grad_norm": 1.7734652757644653,
65
+ "learning_rate": 0.00019664380225839926,
66
+ "loss": 0.0447,
67
+ "step": 300
68
+ },
69
+ {
70
+ "epoch": 0.3309431880860452,
71
+ "eval_loss": 0.05800703167915344,
72
+ "eval_runtime": 171.377,
73
+ "eval_samples_per_second": 10.579,
74
+ "eval_steps_per_second": 10.579,
75
+ "step": 300
76
+ },
77
+ {
78
+ "epoch": 0.3861003861003861,
79
+ "grad_norm": 2.717177152633667,
80
+ "learning_rate": 0.00019494229828309726,
81
+ "loss": 0.0513,
82
+ "step": 350
83
+ },
84
+ {
85
+ "epoch": 0.441257584114727,
86
+ "grad_norm": 1.9755767583847046,
87
+ "learning_rate": 0.0001929037553024158,
88
+ "loss": 0.0461,
89
+ "step": 400
90
+ },
91
+ {
92
+ "epoch": 0.441257584114727,
93
+ "eval_loss": 0.04763505980372429,
94
+ "eval_runtime": 171.5889,
95
+ "eval_samples_per_second": 10.566,
96
+ "eval_steps_per_second": 10.566,
97
+ "step": 400
98
+ },
99
+ {
100
+ "epoch": 0.49641478212906787,
101
+ "grad_norm": 2.066533088684082,
102
+ "learning_rate": 0.00019053541001181153,
103
+ "loss": 0.0403,
104
+ "step": 450
105
+ },
106
+ {
107
+ "epoch": 0.5515719801434087,
108
+ "grad_norm": 1.5352795124053955,
109
+ "learning_rate": 0.00018784566988356584,
110
+ "loss": 0.0409,
111
+ "step": 500
112
+ },
113
+ {
114
+ "epoch": 0.5515719801434087,
115
+ "eval_loss": 0.04639120027422905,
116
+ "eval_runtime": 171.3745,
117
+ "eval_samples_per_second": 10.579,
118
+ "eval_steps_per_second": 10.579,
119
+ "step": 500
120
+ },
121
+ {
122
+ "epoch": 0.6067291781577496,
123
+ "grad_norm": 2.086174964904785,
124
+ "learning_rate": 0.00018484408332080296,
125
+ "loss": 0.0433,
126
+ "step": 550
127
+ },
128
+ {
129
+ "epoch": 0.6618863761720905,
130
+ "grad_norm": 1.7900938987731934,
131
+ "learning_rate": 0.00018154130576127794,
132
+ "loss": 0.0402,
133
+ "step": 600
134
+ },
135
+ {
136
+ "epoch": 0.6618863761720905,
137
+ "eval_loss": 0.048071522265672684,
138
+ "eval_runtime": 171.3891,
139
+ "eval_samples_per_second": 10.578,
140
+ "eval_steps_per_second": 10.578,
141
+ "step": 600
142
+ },
143
+ {
144
+ "epoch": 0.7170435741864313,
145
+ "grad_norm": 309.98126220703125,
146
+ "learning_rate": 0.00017794906185126307,
147
+ "loss": 0.037,
148
+ "step": 650
149
+ },
150
+ {
151
+ "epoch": 0.7722007722007722,
152
+ "grad_norm": 1.4379602670669556,
153
+ "learning_rate": 0.0001740801038238137,
154
+ "loss": 0.0345,
155
+ "step": 700
156
+ },
157
+ {
158
+ "epoch": 0.7722007722007722,
159
+ "eval_loss": 0.05097845196723938,
160
+ "eval_runtime": 171.3896,
161
+ "eval_samples_per_second": 10.578,
162
+ "eval_steps_per_second": 10.578,
163
+ "step": 700
164
+ },
165
+ {
166
+ "epoch": 0.827357970215113,
167
+ "grad_norm": 2.1667776107788086,
168
+ "learning_rate": 0.00016994816622916724,
169
+ "loss": 0.0347,
170
+ "step": 750
171
+ },
172
+ {
173
+ "epoch": 0.882515168229454,
174
+ "grad_norm": 1.551637887954712,
175
+ "learning_rate": 0.0001655679171779801,
176
+ "loss": 0.0375,
177
+ "step": 800
178
+ },
179
+ {
180
+ "epoch": 0.882515168229454,
181
+ "eval_loss": 0.04455012083053589,
182
+ "eval_runtime": 171.4596,
183
+ "eval_samples_per_second": 10.574,
184
+ "eval_steps_per_second": 10.574,
185
+ "step": 800
186
+ }
187
+ ],
188
+ "logging_steps": 50,
189
+ "max_steps": 2718,
190
+ "num_input_tokens_seen": 0,
191
+ "num_train_epochs": 3,
192
+ "save_steps": 100,
193
+ "stateful_callbacks": {
194
+ "EarlyStoppingCallback": {
195
+ "args": {
196
+ "early_stopping_patience": 5,
197
+ "early_stopping_threshold": 0.0
198
+ },
199
+ "attributes": {
200
+ "early_stopping_patience_counter": 0
201
+ }
202
+ },
203
+ "TrainerControl": {
204
+ "args": {
205
+ "should_epoch_stop": false,
206
+ "should_evaluate": false,
207
+ "should_log": false,
208
+ "should_save": true,
209
+ "should_training_stop": false
210
+ },
211
+ "attributes": {}
212
+ }
213
+ },
214
+ "total_flos": 0.0,
215
+ "train_batch_size": 1,
216
+ "trial_name": null,
217
+ "trial_params": null
218
+ }
10302000_full/02_distortion/checkpoint-800/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09eb6beb0ab9417585b65aa2ceb3d21e58e0b3e1253b648012f50be2e59900a5
3
+ size 5777
10302000_full/03_quality/checkpoint-1300/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a5c23b096c69950fcf39c579ac327874e1073613538d3c07fa03382c3025781
3
+ size 16318734800
10302000_full/03_quality/checkpoint-1300/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6e8df029566afa22ed48773858ed669c2b4ec667cb7a67c5f042e2e453fccaaf
3
+ size 346426383
10302000_full/03_quality/checkpoint-1300/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bd9b639c4d6556cd03d002c3e9e167bf95156a4561b10c3dd067151d824d3fed
3
+ size 14645
10302000_full/03_quality/checkpoint-1300/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:efa7e2619b1972c904a264236840cb6f4a48f8a30e77a294592cf31567f370e3
3
+ size 1465
10302000_full/03_quality/checkpoint-1300/trainer_state.json ADDED
@@ -0,0 +1,432 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.1264975368976593,
3
+ "best_model_checkpoint": "outputs/10302000_full/03_quality/checkpoint-800",
4
+ "epoch": 1.4335355763927193,
5
+ "eval_steps": 100,
6
+ "global_step": 1300,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05515719801434087,
13
+ "grad_norm": 5.016786575317383,
14
+ "learning_rate": 0.00012195121951219512,
15
+ "loss": 0.3705,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.11031439602868175,
20
+ "grad_norm": 5.948491096496582,
21
+ "learning_rate": 0.0001999769904941157,
22
+ "loss": 0.1078,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 0.11031439602868175,
27
+ "eval_loss": 0.13704171776771545,
28
+ "eval_loss_ce": 0.1113771149417066,
29
+ "eval_loss_fidelity": 0.007213531817390208,
30
+ "eval_loss_kl": 0.36902147792053697,
31
+ "eval_mae": 0.30157978509712535,
32
+ "eval_mse": 0.12427899865513392,
33
+ "eval_plcc": 0.937119822608221,
34
+ "eval_rmse": 0.3525322661191936,
35
+ "eval_runtime": 193.6718,
36
+ "eval_samples_per_second": 9.361,
37
+ "eval_srcc": 0.9300393181858984,
38
+ "eval_steps_per_second": 9.361,
39
+ "step": 100
40
+ },
41
+ {
42
+ "epoch": 0.1654715940430226,
43
+ "grad_norm": 15.751655578613281,
44
+ "learning_rate": 0.00019967178452785585,
45
+ "loss": 0.1354,
46
+ "step": 150
47
+ },
48
+ {
49
+ "epoch": 0.2206287920573635,
50
+ "grad_norm": 3.5405540466308594,
51
+ "learning_rate": 0.0001990127501865814,
52
+ "loss": 0.099,
53
+ "step": 200
54
+ },
55
+ {
56
+ "epoch": 0.2206287920573635,
57
+ "eval_loss": 0.13450700044631958,
58
+ "eval_loss_ce": 0.11631542408065249,
59
+ "eval_loss_fidelity": 0.0062996593343917955,
60
+ "eval_loss_kl": 0.2378383321852988,
61
+ "eval_mae": 0.17954863097479642,
62
+ "eval_mse": 0.05381856826433036,
63
+ "eval_plcc": 0.9456857252789469,
64
+ "eval_rmse": 0.23198829337777016,
65
+ "eval_runtime": 193.9476,
66
+ "eval_samples_per_second": 9.348,
67
+ "eval_srcc": 0.923889012828261,
68
+ "eval_steps_per_second": 9.348,
69
+ "step": 200
70
+ },
71
+ {
72
+ "epoch": 0.27578599007170435,
73
+ "grad_norm": 4.451136589050293,
74
+ "learning_rate": 0.0001980022269994896,
75
+ "loss": 0.0979,
76
+ "step": 250
77
+ },
78
+ {
79
+ "epoch": 0.3309431880860452,
80
+ "grad_norm": 2.2216923236846924,
81
+ "learning_rate": 0.00019664380225839926,
82
+ "loss": 0.0888,
83
+ "step": 300
84
+ },
85
+ {
86
+ "epoch": 0.3309431880860452,
87
+ "eval_loss": 0.13621202111244202,
88
+ "eval_loss_ce": 0.11152292225536593,
89
+ "eval_loss_fidelity": 0.006185017513692733,
90
+ "eval_loss_kl": 0.37008158095752214,
91
+ "eval_mae": 0.2274023151765919,
92
+ "eval_mse": 0.07837657580673445,
93
+ "eval_plcc": 0.949336914105721,
94
+ "eval_rmse": 0.2799581679585978,
95
+ "eval_runtime": 194.3501,
96
+ "eval_samples_per_second": 9.329,
97
+ "eval_srcc": 0.9321839980089605,
98
+ "eval_steps_per_second": 9.329,
99
+ "step": 300
100
+ },
101
+ {
102
+ "epoch": 0.3861003861003861,
103
+ "grad_norm": 5.278799533843994,
104
+ "learning_rate": 0.00019494229828309726,
105
+ "loss": 0.0964,
106
+ "step": 350
107
+ },
108
+ {
109
+ "epoch": 0.441257584114727,
110
+ "grad_norm": 5.467691898345947,
111
+ "learning_rate": 0.0001929037553024158,
112
+ "loss": 0.0878,
113
+ "step": 400
114
+ },
115
+ {
116
+ "epoch": 0.441257584114727,
117
+ "eval_loss": 0.13462145626544952,
118
+ "eval_loss_ce": 0.11323300575538525,
119
+ "eval_loss_fidelity": 0.005899251784552176,
120
+ "eval_loss_kl": 0.3097839682423076,
121
+ "eval_mae": 0.20564421533025962,
122
+ "eval_mse": 0.06551240013957672,
123
+ "eval_plcc": 0.9475868241161464,
124
+ "eval_rmse": 0.2559539023722372,
125
+ "eval_runtime": 194.3102,
126
+ "eval_samples_per_second": 9.33,
127
+ "eval_srcc": 0.930247646679494,
128
+ "eval_steps_per_second": 9.33,
129
+ "step": 400
130
+ },
131
+ {
132
+ "epoch": 0.49641478212906787,
133
+ "grad_norm": 4.230099678039551,
134
+ "learning_rate": 0.00019053541001181153,
135
+ "loss": 0.0857,
136
+ "step": 450
137
+ },
138
+ {
139
+ "epoch": 0.5515719801434087,
140
+ "grad_norm": 2.8542516231536865,
141
+ "learning_rate": 0.00018784566988356584,
142
+ "loss": 0.0812,
143
+ "step": 500
144
+ },
145
+ {
146
+ "epoch": 0.5515719801434087,
147
+ "eval_loss": 0.13305522501468658,
148
+ "eval_loss_ce": 0.1118904996408541,
149
+ "eval_loss_fidelity": 0.004883602631144263,
150
+ "eval_loss_kl": 0.3256222899783335,
151
+ "eval_mae": 0.2171886075088745,
152
+ "eval_mse": 0.06838496862929523,
153
+ "eval_plcc": 0.9550205287617668,
154
+ "eval_rmse": 0.26150519809230416,
155
+ "eval_runtime": 194.0084,
156
+ "eval_samples_per_second": 9.345,
157
+ "eval_srcc": 0.9398547146650336,
158
+ "eval_steps_per_second": 9.345,
159
+ "step": 500
160
+ },
161
+ {
162
+ "epoch": 0.6067291781577496,
163
+ "grad_norm": 4.689825057983398,
164
+ "learning_rate": 0.00018484408332080296,
165
+ "loss": 0.0864,
166
+ "step": 550
167
+ },
168
+ {
169
+ "epoch": 0.6618863761720905,
170
+ "grad_norm": 5.880340099334717,
171
+ "learning_rate": 0.00018154130576127794,
172
+ "loss": 0.0855,
173
+ "step": 600
174
+ },
175
+ {
176
+ "epoch": 0.6618863761720905,
177
+ "eval_loss": 0.13849912583827972,
178
+ "eval_loss_ce": 0.12432220729321686,
179
+ "eval_loss_fidelity": 0.005712794197739451,
180
+ "eval_loss_kl": 0.16928249481249696,
181
+ "eval_mae": 0.17003036939302205,
182
+ "eval_mse": 0.049201071172228016,
183
+ "eval_plcc": 0.9530812462843681,
184
+ "eval_rmse": 0.22181314472372465,
185
+ "eval_runtime": 194.0394,
186
+ "eval_samples_per_second": 9.343,
187
+ "eval_srcc": 0.9404855441911246,
188
+ "eval_steps_per_second": 9.343,
189
+ "step": 600
190
+ },
191
+ {
192
+ "epoch": 0.7170435741864313,
193
+ "grad_norm": 4.565411567687988,
194
+ "learning_rate": 0.00017794906185126307,
195
+ "loss": 0.079,
196
+ "step": 650
197
+ },
198
+ {
199
+ "epoch": 0.7722007722007722,
200
+ "grad_norm": 2.659329414367676,
201
+ "learning_rate": 0.0001740801038238137,
202
+ "loss": 0.0775,
203
+ "step": 700
204
+ },
205
+ {
206
+ "epoch": 0.7722007722007722,
207
+ "eval_loss": 0.1500832587480545,
208
+ "eval_loss_ce": 0.1271633744338436,
209
+ "eval_loss_fidelity": 0.005004158400919163,
210
+ "eval_loss_kl": 0.3583144665738363,
211
+ "eval_mae": 0.24742476524599205,
212
+ "eval_mse": 0.08547339348227857,
213
+ "eval_plcc": 0.9551442112371081,
214
+ "eval_rmse": 0.2923583306189146,
215
+ "eval_runtime": 193.6922,
216
+ "eval_samples_per_second": 9.36,
217
+ "eval_srcc": 0.9390260963502546,
218
+ "eval_steps_per_second": 9.36,
219
+ "step": 700
220
+ },
221
+ {
222
+ "epoch": 0.827357970215113,
223
+ "grad_norm": 3.306400775909424,
224
+ "learning_rate": 0.00016994816622916724,
225
+ "loss": 0.0748,
226
+ "step": 750
227
+ },
228
+ {
229
+ "epoch": 0.882515168229454,
230
+ "grad_norm": 5.885075569152832,
231
+ "learning_rate": 0.0001655679171779801,
232
+ "loss": 0.0799,
233
+ "step": 800
234
+ },
235
+ {
236
+ "epoch": 0.882515168229454,
237
+ "eval_loss": 0.1264975368976593,
238
+ "eval_loss_ce": 0.10881793243174584,
239
+ "eval_loss_fidelity": 0.004938206646989665,
240
+ "eval_loss_kl": 0.25482803636363577,
241
+ "eval_mae": 0.16690754581405126,
242
+ "eval_mse": 0.048057996531864385,
243
+ "eval_plcc": 0.9567099432782478,
244
+ "eval_rmse": 0.2192213414151651,
245
+ "eval_runtime": 194.2536,
246
+ "eval_samples_per_second": 9.333,
247
+ "eval_srcc": 0.9417936374158725,
248
+ "eval_steps_per_second": 9.333,
249
+ "step": 800
250
+ },
251
+ {
252
+ "epoch": 0.9376723662437948,
253
+ "grad_norm": 3.1301374435424805,
254
+ "learning_rate": 0.00016095490627048551,
255
+ "loss": 0.1083,
256
+ "step": 850
257
+ },
258
+ {
259
+ "epoch": 0.9928295642581357,
260
+ "grad_norm": 3.414059638977051,
261
+ "learning_rate": 0.0001561255093964205,
262
+ "loss": 0.0853,
263
+ "step": 900
264
+ },
265
+ {
266
+ "epoch": 0.9928295642581357,
267
+ "eval_loss": 0.13225458562374115,
268
+ "eval_loss_ce": 0.11228324533725272,
269
+ "eval_loss_fidelity": 0.004915323454149014,
270
+ "eval_loss_kl": 0.3011201763298554,
271
+ "eval_mae": 0.22013330643701737,
272
+ "eval_mse": 0.06908894754687456,
273
+ "eval_plcc": 0.9574026281380463,
274
+ "eval_rmse": 0.262847764964579,
275
+ "eval_runtime": 194.1806,
276
+ "eval_samples_per_second": 9.337,
277
+ "eval_srcc": 0.9427551329633977,
278
+ "eval_steps_per_second": 9.337,
279
+ "step": 900
280
+ },
281
+ {
282
+ "epoch": 1.0474351902923331,
283
+ "grad_norm": 1.631306767463684,
284
+ "learning_rate": 0.0001510968706016788,
285
+ "loss": 0.0701,
286
+ "step": 950
287
+ },
288
+ {
289
+ "epoch": 1.102592388306674,
290
+ "grad_norm": 4.560144901275635,
291
+ "learning_rate": 0.00014588684122805897,
292
+ "loss": 0.1439,
293
+ "step": 1000
294
+ },
295
+ {
296
+ "epoch": 1.102592388306674,
297
+ "eval_loss": 0.14723722636699677,
298
+ "eval_loss_ce": 0.13140751211762725,
299
+ "eval_loss_fidelity": 0.005400512868111365,
300
+ "eval_loss_kl": 0.20858417000155124,
301
+ "eval_mae": 0.18222331165675623,
302
+ "eval_mse": 0.05252082752936385,
303
+ "eval_plcc": 0.9573155466629986,
304
+ "eval_rmse": 0.22917422963623954,
305
+ "eval_runtime": 194.0271,
306
+ "eval_samples_per_second": 9.344,
307
+ "eval_srcc": 0.9420141593143311,
308
+ "eval_steps_per_second": 9.344,
309
+ "step": 1000
310
+ },
311
+ {
312
+ "epoch": 1.157749586321015,
313
+ "grad_norm": 2.5360968112945557,
314
+ "learning_rate": 0.00014051391654215802,
315
+ "loss": 0.0682,
316
+ "step": 1050
317
+ },
318
+ {
319
+ "epoch": 1.2129067843353558,
320
+ "grad_norm": 2.7947652339935303,
321
+ "learning_rate": 0.0001349971700783738,
322
+ "loss": 0.0663,
323
+ "step": 1100
324
+ },
325
+ {
326
+ "epoch": 1.2129067843353558,
327
+ "eval_loss": 0.14391076564788818,
328
+ "eval_loss_ce": 0.12244595150615849,
329
+ "eval_loss_fidelity": 0.005122330334341648,
330
+ "eval_loss_kl": 0.3268497886338569,
331
+ "eval_mae": 0.21778717332956743,
332
+ "eval_mse": 0.06785969315954295,
333
+ "eval_plcc": 0.9576596915580221,
334
+ "eval_rmse": 0.26049893120614326,
335
+ "eval_runtime": 194.1409,
336
+ "eval_samples_per_second": 9.339,
337
+ "eval_srcc": 0.9433267891697489,
338
+ "eval_steps_per_second": 9.339,
339
+ "step": 1100
340
+ },
341
+ {
342
+ "epoch": 1.2680639823496966,
343
+ "grad_norm": 4.478550434112549,
344
+ "learning_rate": 0.00012935618592909418,
345
+ "loss": 0.0675,
346
+ "step": 1150
347
+ },
348
+ {
349
+ "epoch": 1.3232211803640375,
350
+ "grad_norm": 1.6398779153823853,
351
+ "learning_rate": 0.0001236109892224381,
352
+ "loss": 0.063,
353
+ "step": 1200
354
+ },
355
+ {
356
+ "epoch": 1.3232211803640375,
357
+ "eval_loss": 0.13683147728443146,
358
+ "eval_loss_ce": 0.11823078792416879,
359
+ "eval_loss_fidelity": 0.004846085331225367,
360
+ "eval_loss_kl": 0.27509208383954037,
361
+ "eval_mae": 0.19626730677178073,
362
+ "eval_mse": 0.056596288147406505,
363
+ "eval_plcc": 0.9576392029983575,
364
+ "eval_rmse": 0.23789974389941346,
365
+ "eval_runtime": 194.1932,
366
+ "eval_samples_per_second": 9.336,
367
+ "eval_srcc": 0.9441463714952719,
368
+ "eval_steps_per_second": 9.336,
369
+ "step": 1200
370
+ },
371
+ {
372
+ "epoch": 1.3783783783783785,
373
+ "grad_norm": 1.8871359825134277,
374
+ "learning_rate": 0.000117781975034349,
375
+ "loss": 0.0647,
376
+ "step": 1250
377
+ },
378
+ {
379
+ "epoch": 1.4335355763927193,
380
+ "grad_norm": 4.287084579467773,
381
+ "learning_rate": 0.00011188983598739675,
382
+ "loss": 0.0622,
383
+ "step": 1300
384
+ },
385
+ {
386
+ "epoch": 1.4335355763927193,
387
+ "eval_loss": 0.14778631925582886,
388
+ "eval_loss_ce": 0.1280554513433117,
389
+ "eval_loss_fidelity": 0.0048560530920212465,
390
+ "eval_loss_kl": 0.29749625905427696,
391
+ "eval_mae": 0.1903329896321957,
392
+ "eval_mse": 0.06137638311756013,
393
+ "eval_plcc": 0.9574996097590314,
394
+ "eval_rmse": 0.24774257429347935,
395
+ "eval_runtime": 194.1157,
396
+ "eval_samples_per_second": 9.34,
397
+ "eval_srcc": 0.9429579000073733,
398
+ "eval_steps_per_second": 9.34,
399
+ "step": 1300
400
+ }
401
+ ],
402
+ "logging_steps": 50,
403
+ "max_steps": 2718,
404
+ "num_input_tokens_seen": 0,
405
+ "num_train_epochs": 3,
406
+ "save_steps": 100,
407
+ "stateful_callbacks": {
408
+ "EarlyStoppingCallback": {
409
+ "args": {
410
+ "early_stopping_patience": 5,
411
+ "early_stopping_threshold": 0.0
412
+ },
413
+ "attributes": {
414
+ "early_stopping_patience_counter": 5
415
+ }
416
+ },
417
+ "TrainerControl": {
418
+ "args": {
419
+ "should_epoch_stop": false,
420
+ "should_evaluate": false,
421
+ "should_log": false,
422
+ "should_save": true,
423
+ "should_training_stop": true
424
+ },
425
+ "attributes": {}
426
+ }
427
+ },
428
+ "total_flos": 0.0,
429
+ "train_batch_size": 1,
430
+ "trial_name": null,
431
+ "trial_params": null
432
+ }
10302000_full/03_quality/checkpoint-1300/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f4fb071fdc96cc5f5acb1a4f06afee253beb396316fb8e97d544881db9369c36
3
+ size 5777
10302000_full/03_quality/checkpoint-800/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b9ad531354be49e472f3a293249ce03e39d7b3d8b89b09c5f9792966f08b6e3b
3
+ size 16318734800
10302000_full/03_quality/checkpoint-800/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:864eda192b960e186ed703617b420e8b3e9854fb6d29e275012ce22c5d14788a
3
+ size 346426383
10302000_full/03_quality/checkpoint-800/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dee283ba2c7b920d569983076de288f54daba06ab4559af0b92d02c8082ee467
3
+ size 14645
10302000_full/03_quality/checkpoint-800/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f6abfb4d681afad7f03facbbb0c876f9fe4993cc0f1525af436f8ad8e605c5c
3
+ size 1465
10302000_full/03_quality/checkpoint-800/trainer_state.json ADDED
@@ -0,0 +1,282 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.1264975368976593,
3
+ "best_model_checkpoint": "outputs/10302000_full/03_quality/checkpoint-800",
4
+ "epoch": 0.882515168229454,
5
+ "eval_steps": 100,
6
+ "global_step": 800,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05515719801434087,
13
+ "grad_norm": 5.016786575317383,
14
+ "learning_rate": 0.00012195121951219512,
15
+ "loss": 0.3705,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.11031439602868175,
20
+ "grad_norm": 5.948491096496582,
21
+ "learning_rate": 0.0001999769904941157,
22
+ "loss": 0.1078,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 0.11031439602868175,
27
+ "eval_loss": 0.13704171776771545,
28
+ "eval_loss_ce": 0.1113771149417066,
29
+ "eval_loss_fidelity": 0.007213531817390208,
30
+ "eval_loss_kl": 0.36902147792053697,
31
+ "eval_mae": 0.30157978509712535,
32
+ "eval_mse": 0.12427899865513392,
33
+ "eval_plcc": 0.937119822608221,
34
+ "eval_rmse": 0.3525322661191936,
35
+ "eval_runtime": 193.6718,
36
+ "eval_samples_per_second": 9.361,
37
+ "eval_srcc": 0.9300393181858984,
38
+ "eval_steps_per_second": 9.361,
39
+ "step": 100
40
+ },
41
+ {
42
+ "epoch": 0.1654715940430226,
43
+ "grad_norm": 15.751655578613281,
44
+ "learning_rate": 0.00019967178452785585,
45
+ "loss": 0.1354,
46
+ "step": 150
47
+ },
48
+ {
49
+ "epoch": 0.2206287920573635,
50
+ "grad_norm": 3.5405540466308594,
51
+ "learning_rate": 0.0001990127501865814,
52
+ "loss": 0.099,
53
+ "step": 200
54
+ },
55
+ {
56
+ "epoch": 0.2206287920573635,
57
+ "eval_loss": 0.13450700044631958,
58
+ "eval_loss_ce": 0.11631542408065249,
59
+ "eval_loss_fidelity": 0.0062996593343917955,
60
+ "eval_loss_kl": 0.2378383321852988,
61
+ "eval_mae": 0.17954863097479642,
62
+ "eval_mse": 0.05381856826433036,
63
+ "eval_plcc": 0.9456857252789469,
64
+ "eval_rmse": 0.23198829337777016,
65
+ "eval_runtime": 193.9476,
66
+ "eval_samples_per_second": 9.348,
67
+ "eval_srcc": 0.923889012828261,
68
+ "eval_steps_per_second": 9.348,
69
+ "step": 200
70
+ },
71
+ {
72
+ "epoch": 0.27578599007170435,
73
+ "grad_norm": 4.451136589050293,
74
+ "learning_rate": 0.0001980022269994896,
75
+ "loss": 0.0979,
76
+ "step": 250
77
+ },
78
+ {
79
+ "epoch": 0.3309431880860452,
80
+ "grad_norm": 2.2216923236846924,
81
+ "learning_rate": 0.00019664380225839926,
82
+ "loss": 0.0888,
83
+ "step": 300
84
+ },
85
+ {
86
+ "epoch": 0.3309431880860452,
87
+ "eval_loss": 0.13621202111244202,
88
+ "eval_loss_ce": 0.11152292225536593,
89
+ "eval_loss_fidelity": 0.006185017513692733,
90
+ "eval_loss_kl": 0.37008158095752214,
91
+ "eval_mae": 0.2274023151765919,
92
+ "eval_mse": 0.07837657580673445,
93
+ "eval_plcc": 0.949336914105721,
94
+ "eval_rmse": 0.2799581679585978,
95
+ "eval_runtime": 194.3501,
96
+ "eval_samples_per_second": 9.329,
97
+ "eval_srcc": 0.9321839980089605,
98
+ "eval_steps_per_second": 9.329,
99
+ "step": 300
100
+ },
101
+ {
102
+ "epoch": 0.3861003861003861,
103
+ "grad_norm": 5.278799533843994,
104
+ "learning_rate": 0.00019494229828309726,
105
+ "loss": 0.0964,
106
+ "step": 350
107
+ },
108
+ {
109
+ "epoch": 0.441257584114727,
110
+ "grad_norm": 5.467691898345947,
111
+ "learning_rate": 0.0001929037553024158,
112
+ "loss": 0.0878,
113
+ "step": 400
114
+ },
115
+ {
116
+ "epoch": 0.441257584114727,
117
+ "eval_loss": 0.13462145626544952,
118
+ "eval_loss_ce": 0.11323300575538525,
119
+ "eval_loss_fidelity": 0.005899251784552176,
120
+ "eval_loss_kl": 0.3097839682423076,
121
+ "eval_mae": 0.20564421533025962,
122
+ "eval_mse": 0.06551240013957672,
123
+ "eval_plcc": 0.9475868241161464,
124
+ "eval_rmse": 0.2559539023722372,
125
+ "eval_runtime": 194.3102,
126
+ "eval_samples_per_second": 9.33,
127
+ "eval_srcc": 0.930247646679494,
128
+ "eval_steps_per_second": 9.33,
129
+ "step": 400
130
+ },
131
+ {
132
+ "epoch": 0.49641478212906787,
133
+ "grad_norm": 4.230099678039551,
134
+ "learning_rate": 0.00019053541001181153,
135
+ "loss": 0.0857,
136
+ "step": 450
137
+ },
138
+ {
139
+ "epoch": 0.5515719801434087,
140
+ "grad_norm": 2.8542516231536865,
141
+ "learning_rate": 0.00018784566988356584,
142
+ "loss": 0.0812,
143
+ "step": 500
144
+ },
145
+ {
146
+ "epoch": 0.5515719801434087,
147
+ "eval_loss": 0.13305522501468658,
148
+ "eval_loss_ce": 0.1118904996408541,
149
+ "eval_loss_fidelity": 0.004883602631144263,
150
+ "eval_loss_kl": 0.3256222899783335,
151
+ "eval_mae": 0.2171886075088745,
152
+ "eval_mse": 0.06838496862929523,
153
+ "eval_plcc": 0.9550205287617668,
154
+ "eval_rmse": 0.26150519809230416,
155
+ "eval_runtime": 194.0084,
156
+ "eval_samples_per_second": 9.345,
157
+ "eval_srcc": 0.9398547146650336,
158
+ "eval_steps_per_second": 9.345,
159
+ "step": 500
160
+ },
161
+ {
162
+ "epoch": 0.6067291781577496,
163
+ "grad_norm": 4.689825057983398,
164
+ "learning_rate": 0.00018484408332080296,
165
+ "loss": 0.0864,
166
+ "step": 550
167
+ },
168
+ {
169
+ "epoch": 0.6618863761720905,
170
+ "grad_norm": 5.880340099334717,
171
+ "learning_rate": 0.00018154130576127794,
172
+ "loss": 0.0855,
173
+ "step": 600
174
+ },
175
+ {
176
+ "epoch": 0.6618863761720905,
177
+ "eval_loss": 0.13849912583827972,
178
+ "eval_loss_ce": 0.12432220729321686,
179
+ "eval_loss_fidelity": 0.005712794197739451,
180
+ "eval_loss_kl": 0.16928249481249696,
181
+ "eval_mae": 0.17003036939302205,
182
+ "eval_mse": 0.049201071172228016,
183
+ "eval_plcc": 0.9530812462843681,
184
+ "eval_rmse": 0.22181314472372465,
185
+ "eval_runtime": 194.0394,
186
+ "eval_samples_per_second": 9.343,
187
+ "eval_srcc": 0.9404855441911246,
188
+ "eval_steps_per_second": 9.343,
189
+ "step": 600
190
+ },
191
+ {
192
+ "epoch": 0.7170435741864313,
193
+ "grad_norm": 4.565411567687988,
194
+ "learning_rate": 0.00017794906185126307,
195
+ "loss": 0.079,
196
+ "step": 650
197
+ },
198
+ {
199
+ "epoch": 0.7722007722007722,
200
+ "grad_norm": 2.659329414367676,
201
+ "learning_rate": 0.0001740801038238137,
202
+ "loss": 0.0775,
203
+ "step": 700
204
+ },
205
+ {
206
+ "epoch": 0.7722007722007722,
207
+ "eval_loss": 0.1500832587480545,
208
+ "eval_loss_ce": 0.1271633744338436,
209
+ "eval_loss_fidelity": 0.005004158400919163,
210
+ "eval_loss_kl": 0.3583144665738363,
211
+ "eval_mae": 0.24742476524599205,
212
+ "eval_mse": 0.08547339348227857,
213
+ "eval_plcc": 0.9551442112371081,
214
+ "eval_rmse": 0.2923583306189146,
215
+ "eval_runtime": 193.6922,
216
+ "eval_samples_per_second": 9.36,
217
+ "eval_srcc": 0.9390260963502546,
218
+ "eval_steps_per_second": 9.36,
219
+ "step": 700
220
+ },
221
+ {
222
+ "epoch": 0.827357970215113,
223
+ "grad_norm": 3.306400775909424,
224
+ "learning_rate": 0.00016994816622916724,
225
+ "loss": 0.0748,
226
+ "step": 750
227
+ },
228
+ {
229
+ "epoch": 0.882515168229454,
230
+ "grad_norm": 5.885075569152832,
231
+ "learning_rate": 0.0001655679171779801,
232
+ "loss": 0.0799,
233
+ "step": 800
234
+ },
235
+ {
236
+ "epoch": 0.882515168229454,
237
+ "eval_loss": 0.1264975368976593,
238
+ "eval_loss_ce": 0.10881793243174584,
239
+ "eval_loss_fidelity": 0.004938206646989665,
240
+ "eval_loss_kl": 0.25482803636363577,
241
+ "eval_mae": 0.16690754581405126,
242
+ "eval_mse": 0.048057996531864385,
243
+ "eval_plcc": 0.9567099432782478,
244
+ "eval_rmse": 0.2192213414151651,
245
+ "eval_runtime": 194.2536,
246
+ "eval_samples_per_second": 9.333,
247
+ "eval_srcc": 0.9417936374158725,
248
+ "eval_steps_per_second": 9.333,
249
+ "step": 800
250
+ }
251
+ ],
252
+ "logging_steps": 50,
253
+ "max_steps": 2718,
254
+ "num_input_tokens_seen": 0,
255
+ "num_train_epochs": 3,
256
+ "save_steps": 100,
257
+ "stateful_callbacks": {
258
+ "EarlyStoppingCallback": {
259
+ "args": {
260
+ "early_stopping_patience": 5,
261
+ "early_stopping_threshold": 0.0
262
+ },
263
+ "attributes": {
264
+ "early_stopping_patience_counter": 0
265
+ }
266
+ },
267
+ "TrainerControl": {
268
+ "args": {
269
+ "should_epoch_stop": false,
270
+ "should_evaluate": false,
271
+ "should_log": false,
272
+ "should_save": true,
273
+ "should_training_stop": false
274
+ },
275
+ "attributes": {}
276
+ }
277
+ },
278
+ "total_flos": 0.0,
279
+ "train_batch_size": 1,
280
+ "trial_name": null,
281
+ "trial_params": null
282
+ }
10302000_full/03_quality/checkpoint-800/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f4fb071fdc96cc5f5acb1a4f06afee253beb396316fb8e97d544881db9369c36
3
+ size 5777
10302000_full/final_model/README.md ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: src/owl3
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:src/owl3
7
+ - lora
8
+ - transformers
9
+ ---
10
+
11
+ # Model Card for Model ID
12
+
13
+ <!-- Provide a quick summary of what the model is/does. -->
14
+
15
+
16
+
17
+ ## Model Details
18
+
19
+ ### Model Description
20
+
21
+ <!-- Provide a longer summary of what this model is. -->
22
+
23
+
24
+
25
+ - **Developed by:** [More Information Needed]
26
+ - **Funded by [optional]:** [More Information Needed]
27
+ - **Shared by [optional]:** [More Information Needed]
28
+ - **Model type:** [More Information Needed]
29
+ - **Language(s) (NLP):** [More Information Needed]
30
+ - **License:** [More Information Needed]
31
+ - **Finetuned from model [optional]:** [More Information Needed]
32
+
33
+ ### Model Sources [optional]
34
+
35
+ <!-- Provide the basic links for the model. -->
36
+
37
+ - **Repository:** [More Information Needed]
38
+ - **Paper [optional]:** [More Information Needed]
39
+ - **Demo [optional]:** [More Information Needed]
40
+
41
+ ## Uses
42
+
43
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
44
+
45
+ ### Direct Use
46
+
47
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Downstream Use [optional]
52
+
53
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
54
+
55
+ [More Information Needed]
56
+
57
+ ### Out-of-Scope Use
58
+
59
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ## Bias, Risks, and Limitations
64
+
65
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
66
+
67
+ [More Information Needed]
68
+
69
+ ### Recommendations
70
+
71
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
72
+
73
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
74
+
75
+ ## How to Get Started with the Model
76
+
77
+ Use the code below to get started with the model.
78
+
79
+ [More Information Needed]
80
+
81
+ ## Training Details
82
+
83
+ ### Training Data
84
+
85
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
86
+
87
+ [More Information Needed]
88
+
89
+ ### Training Procedure
90
+
91
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
92
+
93
+ #### Preprocessing [optional]
94
+
95
+ [More Information Needed]
96
+
97
+
98
+ #### Training Hyperparameters
99
+
100
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
101
+
102
+ #### Speeds, Sizes, Times [optional]
103
+
104
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
105
+
106
+ [More Information Needed]
107
+
108
+ ## Evaluation
109
+
110
+ <!-- This section describes the evaluation protocols and provides the results. -->
111
+
112
+ ### Testing Data, Factors & Metrics
113
+
114
+ #### Testing Data
115
+
116
+ <!-- This should link to a Dataset Card if possible. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Factors
121
+
122
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
123
+
124
+ [More Information Needed]
125
+
126
+ #### Metrics
127
+
128
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
129
+
130
+ [More Information Needed]
131
+
132
+ ### Results
133
+
134
+ [More Information Needed]
135
+
136
+ #### Summary
137
+
138
+
139
+
140
+ ## Model Examination [optional]
141
+
142
+ <!-- Relevant interpretability work for the model goes here -->
143
+
144
+ [More Information Needed]
145
+
146
+ ## Environmental Impact
147
+
148
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
+
150
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
151
+
152
+ - **Hardware Type:** [More Information Needed]
153
+ - **Hours used:** [More Information Needed]
154
+ - **Cloud Provider:** [More Information Needed]
155
+ - **Compute Region:** [More Information Needed]
156
+ - **Carbon Emitted:** [More Information Needed]
157
+
158
+ ## Technical Specifications [optional]
159
+
160
+ ### Model Architecture and Objective
161
+
162
+ [More Information Needed]
163
+
164
+ ### Compute Infrastructure
165
+
166
+ [More Information Needed]
167
+
168
+ #### Hardware
169
+
170
+ [More Information Needed]
171
+
172
+ #### Software
173
+
174
+ [More Information Needed]
175
+
176
+ ## Citation [optional]
177
+
178
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
179
+
180
+ **BibTeX:**
181
+
182
+ [More Information Needed]
183
+
184
+ **APA:**
185
+
186
+ [More Information Needed]
187
+
188
+ ## Glossary [optional]
189
+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
191
+
192
+ [More Information Needed]
193
+
194
+ ## More Information [optional]
195
+
196
+ [More Information Needed]
197
+
198
+ ## Model Card Authors [optional]
199
+
200
+ [More Information Needed]
201
+
202
+ ## Model Card Contact
203
+
204
+ [More Information Needed]
205
+ ### Framework versions
206
+
207
+ - PEFT 0.17.1
10302000_full/final_model/adapter_config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "src/owl3",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 32,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.05,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "qalora_group_size": 16,
24
+ "r": 16,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "k_proj",
29
+ "down_proj",
30
+ "o_proj",
31
+ "gate_proj",
32
+ "v_proj",
33
+ "up_proj",
34
+ "q_proj"
35
+ ],
36
+ "target_parameters": null,
37
+ "task_type": "CAUSAL_LM",
38
+ "trainable_token_indices": null,
39
+ "use_dora": false,
40
+ "use_qalora": false,
41
+ "use_rslora": false
42
+ }
10302000_full/final_model/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b4ac9451f4c86cbbf1cdf84f4393e61b5643971c773d39e290f5ae8514b4e0fd
3
+ size 173507576
10302000_full/final_model/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
10302000_full/final_model/eval_scatter_plot.png ADDED

Git LFS Details

  • SHA256: 233d98f33c155fcea84f7b0c6757be57e2e7cfa733260816b061307ed890de88
  • Pointer size: 131 Bytes
  • Size of remote file: 111 kB
10302000_full/final_model/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
10302000_full/final_model/special_tokens_map.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|im_end|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": {
14
+ "content": "<|endoftext|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ }
20
+ }
10302000_full/final_model/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
3
+ size 11418266
10302000_full/final_model/tokenizer_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ }
28
+ },
29
+ "additional_special_tokens": [
30
+ "<|im_start|>",
31
+ "<|im_end|>"
32
+ ],
33
+ "bos_token": null,
34
+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "<|im_end|>",
37
+ "errors": "replace",
38
+ "extra_special_tokens": {},
39
+ "model_max_length": 131072,
40
+ "pad_token": "<|endoftext|>",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null
44
+ }
10302000_full/final_model/vocab.json ADDED
The diff for this file is too large to render. See raw diff