jikaixuan commited on
Commit
09f09d8
1 Parent(s): 52f14e8

Training in progress, step 10

Browse files
README.md CHANGED
@@ -15,17 +15,17 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.6351
19
- - Rewards/chosen: 0.0300
20
- - Rewards/rejected: -0.0335
21
- - Rewards/accuracies: 0.6200
22
- - Rewards/margins: 0.0635
23
- - Logps/rejected: -250.2864
24
- - Logps/chosen: -272.9344
25
  - Logits/rejected: -2.5200
26
- - Logits/chosen: -2.5063
27
- - Use Label: 7566.9282
28
- - Pred Label: 8465.0723
29
 
30
  ## Model description
31
 
@@ -62,7 +62,7 @@ The following hyperparameters were used during training:
62
 
63
  | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Use Label | Pred Label |
64
  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
65
- | 0.6382 | 1.0 | 955 | 0.6351 | 0.0300 | -0.0335 | 0.6200 | 0.0635 | -250.2864 | -272.9344 | -2.5200 | -2.5063 | 7400.9282 | 8131.0718 |
66
 
67
 
68
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.6366
19
+ - Rewards/chosen: 0.0331
20
+ - Rewards/rejected: -0.0356
21
+ - Rewards/accuracies: 0.6320
22
+ - Rewards/margins: 0.0687
23
+ - Logps/rejected: -250.3080
24
+ - Logps/chosen: -272.9035
25
  - Logits/rejected: -2.5200
26
+ - Logits/chosen: -2.5064
27
+ - Use Label: 9174.8564
28
+ - Pred Label: 6857.1440
29
 
30
  ## Model description
31
 
 
62
 
63
  | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Use Label | Pred Label |
64
  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
65
+ | 0.6393 | 1.0 | 955 | 0.6366 | 0.0331 | -0.0356 | 0.6320 | 0.0687 | -250.3080 | -272.9035 | -2.5200 | -2.5064 | 8966.8564 | 6565.1440 |
66
 
67
 
68
  ### Framework versions
adapter_config.json CHANGED
@@ -19,10 +19,10 @@
19
  "rank_pattern": {},
20
  "revision": null,
21
  "target_modules": [
22
- "q_proj",
23
- "v_proj",
24
  "k_proj",
25
- "o_proj"
 
 
26
  ],
27
  "task_type": "CAUSAL_LM"
28
  }
 
19
  "rank_pattern": {},
20
  "revision": null,
21
  "target_modules": [
 
 
22
  "k_proj",
23
+ "o_proj",
24
+ "v_proj",
25
+ "q_proj"
26
  ],
27
  "task_type": "CAUSAL_LM"
28
  }
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ee1f96b1ff91748644141001f4b3a08b51dc4fcb31e400b5beb778684bf0c37b
3
  size 109086672
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:722f0729e0dd5f38ace74c0bf4bfba907e4ee8f4504edeaa6b00d325eb28a9e5
3
  size 109086672
all_results.json CHANGED
@@ -1,23 +1,23 @@
1
  {
2
  "epoch": 1.0,
3
- "eval_logits/chosen": -2.5062618255615234,
4
- "eval_logits/rejected": -2.5199859142303467,
5
- "eval_logps/chosen": -272.93438720703125,
6
- "eval_logps/rejected": -250.28643798828125,
7
- "eval_loss": 0.6350826025009155,
8
- "eval_pred_label": 8465.072265625,
9
- "eval_rewards/accuracies": 0.6200000047683716,
10
- "eval_rewards/chosen": 0.029984984546899796,
11
- "eval_rewards/margins": 0.06345725804567337,
12
- "eval_rewards/rejected": -0.033472273498773575,
13
- "eval_runtime": 439.1916,
14
  "eval_samples": 2000,
15
- "eval_samples_per_second": 4.554,
16
- "eval_steps_per_second": 0.285,
17
- "eval_use_label": 7566.92822265625,
18
- "train_loss": 0.6553713429036565,
19
- "train_runtime": 24224.386,
20
  "train_samples": 61135,
21
- "train_samples_per_second": 2.524,
22
  "train_steps_per_second": 0.039
23
  }
 
1
  {
2
  "epoch": 1.0,
3
+ "eval_logits/chosen": -2.5063796043395996,
4
+ "eval_logits/rejected": -2.5199685096740723,
5
+ "eval_logps/chosen": -272.9034729003906,
6
+ "eval_logps/rejected": -250.30796813964844,
7
+ "eval_loss": 0.6366299986839294,
8
+ "eval_pred_label": 6857.14404296875,
9
+ "eval_rewards/accuracies": 0.6320000290870667,
10
+ "eval_rewards/chosen": 0.03307868540287018,
11
+ "eval_rewards/margins": 0.06870328634977341,
12
+ "eval_rewards/rejected": -0.03562460467219353,
13
+ "eval_runtime": 441.6525,
14
  "eval_samples": 2000,
15
+ "eval_samples_per_second": 4.528,
16
+ "eval_steps_per_second": 0.283,
17
+ "eval_use_label": 9174.8564453125,
18
+ "train_loss": 0.6567496789063458,
19
+ "train_runtime": 24439.922,
20
  "train_samples": 61135,
21
+ "train_samples_per_second": 2.501,
22
  "train_steps_per_second": 0.039
23
  }
eval_results.json CHANGED
@@ -1,18 +1,18 @@
1
  {
2
  "epoch": 1.0,
3
- "eval_logits/chosen": -2.5062618255615234,
4
- "eval_logits/rejected": -2.5199859142303467,
5
- "eval_logps/chosen": -272.93438720703125,
6
- "eval_logps/rejected": -250.28643798828125,
7
- "eval_loss": 0.6350826025009155,
8
- "eval_pred_label": 8465.072265625,
9
- "eval_rewards/accuracies": 0.6200000047683716,
10
- "eval_rewards/chosen": 0.029984984546899796,
11
- "eval_rewards/margins": 0.06345725804567337,
12
- "eval_rewards/rejected": -0.033472273498773575,
13
- "eval_runtime": 439.1916,
14
  "eval_samples": 2000,
15
- "eval_samples_per_second": 4.554,
16
- "eval_steps_per_second": 0.285,
17
- "eval_use_label": 7566.92822265625
18
  }
 
1
  {
2
  "epoch": 1.0,
3
+ "eval_logits/chosen": -2.5063796043395996,
4
+ "eval_logits/rejected": -2.5199685096740723,
5
+ "eval_logps/chosen": -272.9034729003906,
6
+ "eval_logps/rejected": -250.30796813964844,
7
+ "eval_loss": 0.6366299986839294,
8
+ "eval_pred_label": 6857.14404296875,
9
+ "eval_rewards/accuracies": 0.6320000290870667,
10
+ "eval_rewards/chosen": 0.03307868540287018,
11
+ "eval_rewards/margins": 0.06870328634977341,
12
+ "eval_rewards/rejected": -0.03562460467219353,
13
+ "eval_runtime": 441.6525,
14
  "eval_samples": 2000,
15
+ "eval_samples_per_second": 4.528,
16
+ "eval_steps_per_second": 0.283,
17
+ "eval_use_label": 9174.8564453125
18
  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 1.0,
3
- "train_loss": 0.6553713429036565,
4
- "train_runtime": 24224.386,
5
  "train_samples": 61135,
6
- "train_samples_per_second": 2.524,
7
  "train_steps_per_second": 0.039
8
  }
 
1
  {
2
  "epoch": 1.0,
3
+ "train_loss": 0.6567496789063458,
4
+ "train_runtime": 24439.922,
5
  "train_samples": 61135,
6
+ "train_samples_per_second": 2.501,
7
  "train_steps_per_second": 0.039
8
  }
trainer_state.json CHANGED
@@ -27,179 +27,179 @@
27
  {
28
  "epoch": 0.1,
29
  "learning_rate": 4.976717112922002e-07,
30
- "logits/chosen": -2.475785255432129,
31
- "logits/rejected": -2.48360276222229,
32
- "logps/chosen": -273.616943359375,
33
- "logps/rejected": -258.89666748046875,
34
- "loss": 0.6789,
35
- "pred_label": 242.72474670410156,
36
- "rewards/accuracies": 0.5082070827484131,
37
- "rewards/chosen": -0.0015035810647532344,
38
- "rewards/margins": -0.000531451019924134,
39
- "rewards/rejected": -0.0009721297537907958,
40
  "step": 100,
41
- "use_label": 567.2752685546875
42
  },
43
  {
44
  "epoch": 0.21,
45
  "learning_rate": 4.3946449359720607e-07,
46
- "logits/chosen": -2.4878406524658203,
47
- "logits/rejected": -2.475137233734131,
48
- "logps/chosen": -267.71783447265625,
49
- "logps/rejected": -250.2951202392578,
50
- "loss": 0.6774,
51
- "pred_label": 765.6174926757812,
52
- "rewards/accuracies": 0.5337499976158142,
53
- "rewards/chosen": 0.004710530862212181,
54
- "rewards/margins": 0.008190509863197803,
55
- "rewards/rejected": -0.0034799796994775534,
56
  "step": 200,
57
- "use_label": 1636.3824462890625
58
  },
59
  {
60
  "epoch": 0.31,
61
  "learning_rate": 3.812572759022118e-07,
62
- "logits/chosen": -2.4730782508850098,
63
- "logits/rejected": -2.476684808731079,
64
- "logps/chosen": -272.0400085449219,
65
- "logps/rejected": -244.8907470703125,
66
- "loss": 0.6717,
67
- "pred_label": 1391.907470703125,
68
- "rewards/accuracies": 0.581250011920929,
69
- "rewards/chosen": 0.010839122347533703,
70
- "rewards/margins": 0.01838376186788082,
71
- "rewards/rejected": -0.007544639054685831,
72
  "step": 300,
73
- "use_label": 2610.092529296875
74
  },
75
  {
76
  "epoch": 0.42,
77
  "learning_rate": 3.230500582072177e-07,
78
- "logits/chosen": -2.4861884117126465,
79
- "logits/rejected": -2.465975761413574,
80
- "logps/chosen": -270.7182922363281,
81
- "logps/rejected": -252.98463439941406,
82
- "loss": 0.6633,
83
- "pred_label": 2104.0400390625,
84
- "rewards/accuracies": 0.6187499761581421,
85
- "rewards/chosen": 0.014859138987958431,
86
- "rewards/margins": 0.03158174827694893,
87
- "rewards/rejected": -0.016722608357667923,
88
  "step": 400,
89
- "use_label": 3497.9599609375
90
  },
91
  {
92
  "epoch": 0.52,
93
  "learning_rate": 2.648428405122235e-07,
94
- "logits/chosen": -2.4607770442962646,
95
- "logits/rejected": -2.4463818073272705,
96
- "logps/chosen": -259.13006591796875,
97
- "logps/rejected": -241.9766845703125,
98
- "loss": 0.6539,
99
- "pred_label": 2935.78759765625,
100
- "rewards/accuracies": 0.6106250286102295,
101
- "rewards/chosen": 0.01635747402906418,
102
- "rewards/margins": 0.031940869987010956,
103
- "rewards/rejected": -0.015583401545882225,
104
  "step": 500,
105
- "use_label": 4266.21240234375
106
  },
107
  {
108
  "epoch": 0.63,
109
  "learning_rate": 2.0663562281722933e-07,
110
- "logits/chosen": -2.4893369674682617,
111
- "logits/rejected": -2.4660918712615967,
112
- "logps/chosen": -271.8557434082031,
113
- "logps/rejected": -252.8357391357422,
114
- "loss": 0.6455,
115
- "pred_label": 3848.889892578125,
116
- "rewards/accuracies": 0.6412500143051147,
117
- "rewards/chosen": 0.02700289897620678,
118
- "rewards/margins": 0.05332392081618309,
119
- "rewards/rejected": -0.02632101997733116,
120
  "step": 600,
121
- "use_label": 4953.10986328125
122
  },
123
  {
124
  "epoch": 0.73,
125
  "learning_rate": 1.4842840512223514e-07,
126
- "logits/chosen": -2.484968423843384,
127
- "logits/rejected": -2.4719583988189697,
128
- "logps/chosen": -269.18682861328125,
129
- "logps/rejected": -238.5116729736328,
130
- "loss": 0.6409,
131
- "pred_label": 4827.14501953125,
132
- "rewards/accuracies": 0.6518750190734863,
133
- "rewards/chosen": 0.02863721363246441,
134
- "rewards/margins": 0.056007277220487595,
135
- "rewards/rejected": -0.027370067313313484,
136
  "step": 700,
137
- "use_label": 5574.85498046875
138
  },
139
  {
140
  "epoch": 0.84,
141
  "learning_rate": 9.022118742724097e-08,
142
- "logits/chosen": -2.4878268241882324,
143
- "logits/rejected": -2.501347064971924,
144
- "logps/chosen": -276.5606384277344,
145
- "logps/rejected": -252.3398895263672,
146
- "loss": 0.6369,
147
- "pred_label": 5855.009765625,
148
- "rewards/accuracies": 0.6299999952316284,
149
- "rewards/chosen": 0.03379346430301666,
150
- "rewards/margins": 0.062380146235227585,
151
- "rewards/rejected": -0.028586676344275475,
152
  "step": 800,
153
- "use_label": 6146.990234375
154
  },
155
  {
156
  "epoch": 0.94,
157
  "learning_rate": 3.20139697322468e-08,
158
- "logits/chosen": -2.4698288440704346,
159
- "logits/rejected": -2.4851109981536865,
160
- "logps/chosen": -266.0604553222656,
161
- "logps/rejected": -247.9416046142578,
162
- "loss": 0.6382,
163
- "pred_label": 6887.15771484375,
164
  "rewards/accuracies": 0.6587499976158142,
165
- "rewards/chosen": 0.030911343172192574,
166
- "rewards/margins": 0.061020173132419586,
167
- "rewards/rejected": -0.03010883368551731,
168
  "step": 900,
169
- "use_label": 6714.84228515625
170
  },
171
  {
172
  "epoch": 1.0,
173
- "eval_logits/chosen": -2.5062618255615234,
174
- "eval_logits/rejected": -2.5199859142303467,
175
- "eval_logps/chosen": -272.93438720703125,
176
- "eval_logps/rejected": -250.28643798828125,
177
- "eval_loss": 0.6350826025009155,
178
- "eval_pred_label": 8131.07177734375,
179
- "eval_rewards/accuracies": 0.6200000047683716,
180
- "eval_rewards/chosen": 0.029984984546899796,
181
- "eval_rewards/margins": 0.06345725804567337,
182
- "eval_rewards/rejected": -0.033472273498773575,
183
- "eval_runtime": 439.2922,
184
- "eval_samples_per_second": 4.553,
185
- "eval_steps_per_second": 0.285,
186
- "eval_use_label": 7400.92822265625,
187
  "step": 955
188
  },
189
  {
190
  "epoch": 1.0,
191
  "step": 955,
192
  "total_flos": 0.0,
193
- "train_loss": 0.6553713429036565,
194
- "train_runtime": 24224.386,
195
- "train_samples_per_second": 2.524,
196
  "train_steps_per_second": 0.039
197
  }
198
  ],
199
  "logging_steps": 100,
200
  "max_steps": 955,
201
  "num_train_epochs": 1,
202
- "save_steps": 10,
203
  "total_flos": 0.0,
204
  "trial_name": null,
205
  "trial_params": null
 
27
  {
28
  "epoch": 0.1,
29
  "learning_rate": 4.976717112922002e-07,
30
+ "logits/chosen": -2.4758388996124268,
31
+ "logits/rejected": -2.4836206436157227,
32
+ "logps/chosen": -273.62322998046875,
33
+ "logps/rejected": -258.89813232421875,
34
+ "loss": 0.6823,
35
+ "pred_label": 156.05050659179688,
36
+ "rewards/accuracies": 0.4886363744735718,
37
+ "rewards/chosen": -0.002133187372237444,
38
+ "rewards/margins": -0.0010164172854274511,
39
+ "rewards/rejected": -0.0011167696211487055,
40
  "step": 100,
41
+ "use_label": 653.9495239257812
42
  },
43
  {
44
  "epoch": 0.21,
45
  "learning_rate": 4.3946449359720607e-07,
46
+ "logits/chosen": -2.4878945350646973,
47
+ "logits/rejected": -2.4750781059265137,
48
+ "logps/chosen": -267.72540283203125,
49
+ "logps/rejected": -250.30291748046875,
50
+ "loss": 0.6801,
51
+ "pred_label": 512.7750244140625,
52
+ "rewards/accuracies": 0.5575000047683716,
53
+ "rewards/chosen": 0.003957623615860939,
54
+ "rewards/margins": 0.008218127302825451,
55
+ "rewards/rejected": -0.0042605032213032246,
56
  "step": 200,
57
+ "use_label": 1889.2249755859375
58
  },
59
  {
60
  "epoch": 0.31,
61
  "learning_rate": 3.812572759022118e-07,
62
+ "logits/chosen": -2.47322940826416,
63
+ "logits/rejected": -2.4768893718719482,
64
+ "logps/chosen": -272.0399169921875,
65
+ "logps/rejected": -244.90228271484375,
66
+ "loss": 0.6733,
67
+ "pred_label": 943.1199951171875,
68
+ "rewards/accuracies": 0.6075000166893005,
69
+ "rewards/chosen": 0.010850328952074051,
70
+ "rewards/margins": 0.01955023780465126,
71
+ "rewards/rejected": -0.008699909783899784,
72
  "step": 300,
73
+ "use_label": 3058.8798828125
74
  },
75
  {
76
  "epoch": 0.42,
77
  "learning_rate": 3.230500582072177e-07,
78
+ "logits/chosen": -2.486250400543213,
79
+ "logits/rejected": -2.466102361679077,
80
+ "logps/chosen": -270.7090759277344,
81
+ "logps/rejected": -252.9911346435547,
82
+ "loss": 0.6635,
83
+ "pred_label": 1496.31005859375,
84
+ "rewards/accuracies": 0.628125011920929,
85
+ "rewards/chosen": 0.01578013226389885,
86
+ "rewards/margins": 0.0331539586186409,
87
+ "rewards/rejected": -0.01737382635474205,
88
  "step": 400,
89
+ "use_label": 4105.68994140625
90
  },
91
  {
92
  "epoch": 0.52,
93
  "learning_rate": 2.648428405122235e-07,
94
+ "logits/chosen": -2.46098256111145,
95
+ "logits/rejected": -2.446549654006958,
96
+ "logps/chosen": -259.1031799316406,
97
+ "logps/rejected": -241.98345947265625,
98
+ "loss": 0.6543,
99
+ "pred_label": 2180.89990234375,
100
+ "rewards/accuracies": 0.6175000071525574,
101
+ "rewards/chosen": 0.019046209752559662,
102
+ "rewards/margins": 0.03530467674136162,
103
+ "rewards/rejected": -0.016258466988801956,
104
  "step": 500,
105
+ "use_label": 5021.10009765625
106
  },
107
  {
108
  "epoch": 0.63,
109
  "learning_rate": 2.0663562281722933e-07,
110
+ "logits/chosen": -2.4896275997161865,
111
+ "logits/rejected": -2.4663710594177246,
112
+ "logps/chosen": -271.8394470214844,
113
+ "logps/rejected": -252.83351135253906,
114
+ "loss": 0.646,
115
+ "pred_label": 2942.87255859375,
116
+ "rewards/accuracies": 0.6600000262260437,
117
+ "rewards/chosen": 0.02863229252398014,
118
+ "rewards/margins": 0.05473264306783676,
119
+ "rewards/rejected": -0.02610035613179207,
120
  "step": 600,
121
+ "use_label": 5859.12744140625
122
  },
123
  {
124
  "epoch": 0.73,
125
  "learning_rate": 1.4842840512223514e-07,
126
+ "logits/chosen": -2.485153913497925,
127
+ "logits/rejected": -2.472170352935791,
128
+ "logps/chosen": -269.14117431640625,
129
+ "logps/rejected": -238.4977569580078,
130
+ "loss": 0.6421,
131
+ "pred_label": 3756.925048828125,
132
+ "rewards/accuracies": 0.6418750286102295,
133
+ "rewards/chosen": 0.03320219740271568,
134
+ "rewards/margins": 0.05917687341570854,
135
+ "rewards/rejected": -0.02597467601299286,
136
  "step": 700,
137
+ "use_label": 6645.0751953125
138
  },
139
  {
140
  "epoch": 0.84,
141
  "learning_rate": 9.022118742724097e-08,
142
+ "logits/chosen": -2.4880199432373047,
143
+ "logits/rejected": -2.5014524459838867,
144
+ "logps/chosen": -276.52313232421875,
145
+ "logps/rejected": -252.34681701660156,
146
+ "loss": 0.6386,
147
+ "pred_label": 4625.42236328125,
148
+ "rewards/accuracies": 0.640625,
149
+ "rewards/chosen": 0.03754829242825508,
150
+ "rewards/margins": 0.06682833284139633,
151
+ "rewards/rejected": -0.02928004413843155,
152
  "step": 800,
153
+ "use_label": 7376.57763671875
154
  },
155
  {
156
  "epoch": 0.94,
157
  "learning_rate": 3.20139697322468e-08,
158
+ "logits/chosen": -2.4699513912200928,
159
+ "logits/rejected": -2.485213279724121,
160
+ "logps/chosen": -266.04229736328125,
161
+ "logps/rejected": -247.93341064453125,
162
+ "loss": 0.6393,
163
+ "pred_label": 5488.7001953125,
164
  "rewards/accuracies": 0.6587499976158142,
165
+ "rewards/chosen": 0.03272656351327896,
166
+ "rewards/margins": 0.06201673671603203,
167
+ "rewards/rejected": -0.02929016388952732,
168
  "step": 900,
169
+ "use_label": 8113.2998046875
170
  },
171
  {
172
  "epoch": 1.0,
173
+ "eval_logits/chosen": -2.5063796043395996,
174
+ "eval_logits/rejected": -2.5199685096740723,
175
+ "eval_logps/chosen": -272.9034729003906,
176
+ "eval_logps/rejected": -250.30796813964844,
177
+ "eval_loss": 0.6366299986839294,
178
+ "eval_pred_label": 6565.14404296875,
179
+ "eval_rewards/accuracies": 0.6320000290870667,
180
+ "eval_rewards/chosen": 0.03307868540287018,
181
+ "eval_rewards/margins": 0.06870328634977341,
182
+ "eval_rewards/rejected": -0.03562460467219353,
183
+ "eval_runtime": 443.034,
184
+ "eval_samples_per_second": 4.514,
185
+ "eval_steps_per_second": 0.282,
186
+ "eval_use_label": 8966.8564453125,
187
  "step": 955
188
  },
189
  {
190
  "epoch": 1.0,
191
  "step": 955,
192
  "total_flos": 0.0,
193
+ "train_loss": 0.6567496789063458,
194
+ "train_runtime": 24439.922,
195
+ "train_samples_per_second": 2.501,
196
  "train_steps_per_second": 0.039
197
  }
198
  ],
199
  "logging_steps": 100,
200
  "max_steps": 955,
201
  "num_train_epochs": 1,
202
+ "save_steps": 500,
203
  "total_flos": 0.0,
204
  "trial_name": null,
205
  "trial_params": null
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3088848f6347f07a0174d8f855b61982c881fa3825ffbdb936ea9d0fa60ba543
3
  size 4792
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3939afbabc4baeb60d396786c0ae42b352034e4fb51ab2354f56d3c071536d9f
3
  size 4792