Ahmedalla commited on
Commit
37be092
·
verified ·
1 Parent(s): fbab91a

Upload 6 files

Browse files
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:011704f41263b070ad9be12c91ea76f00db6201114a881a5dd769617e8a7772b
3
+ size 1002820026
preprocessor_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "apply_ocr": false,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.5,
8
+ 0.5,
9
+ 0.5
10
+ ],
11
+ "image_processor_type": "LayoutLMv3ImageProcessor",
12
+ "image_std": [
13
+ 0.5,
14
+ 0.5,
15
+ 0.5
16
+ ],
17
+ "ocr_lang": null,
18
+ "processor_class": "LayoutLMv3Processor",
19
+ "resample": 2,
20
+ "rescale_factor": 0.00392156862745098,
21
+ "size": {
22
+ "height": 224,
23
+ "width": 224
24
+ },
25
+ "tesseract_config": ""
26
+ }
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37209cdecba6230a3a4dae148dc09dcf1492aadee556fb19ad9af0d3c0d7b9cf
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:345bea270db4afa20c0b04262d1b80fec7c4873e001e3e4c19066324a81d9415
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,167 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8936585365853658,
3
+ "best_model_checkpoint": "test/checkpoint-1000",
4
+ "epoch": 13.333333333333334,
5
+ "eval_steps": 100,
6
+ "global_step": 1000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.3333333333333333,
13
+ "eval_accuracy": 0.7843813146321169,
14
+ "eval_f1": 0.7950072011521844,
15
+ "eval_loss": 0.6181004047393799,
16
+ "eval_precision": 0.7691593125870878,
17
+ "eval_recall": 0.8226527570789866,
18
+ "eval_runtime": 5.5814,
19
+ "eval_samples_per_second": 8.958,
20
+ "eval_steps_per_second": 4.479,
21
+ "step": 100
22
+ },
23
+ {
24
+ "epoch": 2.6666666666666665,
25
+ "eval_accuracy": 0.832877689290384,
26
+ "eval_f1": 0.8479196556671449,
27
+ "eval_loss": 0.49555855989456177,
28
+ "eval_precision": 0.8174273858921162,
29
+ "eval_recall": 0.8807749627421758,
30
+ "eval_runtime": 5.1208,
31
+ "eval_samples_per_second": 9.764,
32
+ "eval_steps_per_second": 4.882,
33
+ "step": 200
34
+ },
35
+ {
36
+ "epoch": 4.0,
37
+ "eval_accuracy": 0.8296683703791751,
38
+ "eval_f1": 0.8698812696874243,
39
+ "eval_loss": 0.5111286640167236,
40
+ "eval_precision": 0.8491012298959318,
41
+ "eval_recall": 0.8917039244908097,
42
+ "eval_runtime": 7.2692,
43
+ "eval_samples_per_second": 6.878,
44
+ "eval_steps_per_second": 3.439,
45
+ "step": 300
46
+ },
47
+ {
48
+ "epoch": 5.333333333333333,
49
+ "eval_accuracy": 0.8368001901818614,
50
+ "eval_f1": 0.88427734375,
51
+ "eval_loss": 0.4935102164745331,
52
+ "eval_precision": 0.8694191070571291,
53
+ "eval_recall": 0.899652260307998,
54
+ "eval_runtime": 6.6204,
55
+ "eval_samples_per_second": 7.552,
56
+ "eval_steps_per_second": 3.776,
57
+ "step": 400
58
+ },
59
+ {
60
+ "epoch": 6.666666666666667,
61
+ "grad_norm": 11.988961219787598,
62
+ "learning_rate": 5e-06,
63
+ "loss": 0.5444,
64
+ "step": 500
65
+ },
66
+ {
67
+ "epoch": 6.666666666666667,
68
+ "eval_accuracy": 0.8416736003803638,
69
+ "eval_f1": 0.873062015503876,
70
+ "eval_loss": 0.5145852565765381,
71
+ "eval_precision": 0.8520094562647754,
72
+ "eval_recall": 0.8951813214108296,
73
+ "eval_runtime": 5.5348,
74
+ "eval_samples_per_second": 9.034,
75
+ "eval_steps_per_second": 4.517,
76
+ "step": 500
77
+ },
78
+ {
79
+ "epoch": 8.0,
80
+ "eval_accuracy": 0.8258647331510757,
81
+ "eval_f1": 0.8856863702979971,
82
+ "eval_loss": 0.6251217126846313,
83
+ "eval_precision": 0.8712157616530514,
84
+ "eval_recall": 0.9006458022851466,
85
+ "eval_runtime": 7.3846,
86
+ "eval_samples_per_second": 6.771,
87
+ "eval_steps_per_second": 3.385,
88
+ "step": 600
89
+ },
90
+ {
91
+ "epoch": 9.333333333333334,
92
+ "eval_accuracy": 0.8268156424581006,
93
+ "eval_f1": 0.8872691933916423,
94
+ "eval_loss": 0.6401486396789551,
95
+ "eval_precision": 0.8682834046600095,
96
+ "eval_recall": 0.907103825136612,
97
+ "eval_runtime": 5.6957,
98
+ "eval_samples_per_second": 8.779,
99
+ "eval_steps_per_second": 4.389,
100
+ "step": 700
101
+ },
102
+ {
103
+ "epoch": 10.666666666666666,
104
+ "eval_accuracy": 0.8297872340425532,
105
+ "eval_f1": 0.8906211936662607,
106
+ "eval_loss": 0.640551745891571,
107
+ "eval_precision": 0.8738049713193117,
108
+ "eval_recall": 0.9080973671137605,
109
+ "eval_runtime": 5.2926,
110
+ "eval_samples_per_second": 9.447,
111
+ "eval_steps_per_second": 4.724,
112
+ "step": 800
113
+ },
114
+ {
115
+ "epoch": 12.0,
116
+ "eval_accuracy": 0.8321645073101153,
117
+ "eval_f1": 0.8969726562500001,
118
+ "eval_loss": 0.6590259075164795,
119
+ "eval_precision": 0.8819011041766682,
120
+ "eval_recall": 0.912568306010929,
121
+ "eval_runtime": 5.2186,
122
+ "eval_samples_per_second": 9.581,
123
+ "eval_steps_per_second": 4.791,
124
+ "step": 900
125
+ },
126
+ {
127
+ "epoch": 13.333333333333334,
128
+ "grad_norm": 6.434786319732666,
129
+ "learning_rate": 0.0,
130
+ "loss": 0.134,
131
+ "step": 1000
132
+ },
133
+ {
134
+ "epoch": 13.333333333333334,
135
+ "eval_accuracy": 0.8316890526566029,
136
+ "eval_f1": 0.8936585365853658,
137
+ "eval_loss": 0.6799957752227783,
138
+ "eval_precision": 0.877815045519885,
139
+ "eval_recall": 0.9100844510680576,
140
+ "eval_runtime": 5.7958,
141
+ "eval_samples_per_second": 8.627,
142
+ "eval_steps_per_second": 4.313,
143
+ "step": 1000
144
+ }
145
+ ],
146
+ "logging_steps": 500,
147
+ "max_steps": 1000,
148
+ "num_input_tokens_seen": 0,
149
+ "num_train_epochs": 14,
150
+ "save_steps": 500,
151
+ "stateful_callbacks": {
152
+ "TrainerControl": {
153
+ "args": {
154
+ "should_epoch_stop": false,
155
+ "should_evaluate": false,
156
+ "should_log": false,
157
+ "should_save": true,
158
+ "should_training_stop": true
159
+ },
160
+ "attributes": {}
161
+ }
162
+ },
163
+ "total_flos": 523783817001984.0,
164
+ "train_batch_size": 2,
165
+ "trial_name": null,
166
+ "trial_params": null
167
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f636f19034d54acf4bfa703a2d8d9b1a848d35264c809a2239cec3e40ca878d3
3
+ size 5176