End of training
Browse files- README.md +23 -2
- all_results.json +17 -0
- eval_results.json +12 -0
- runs/Jan29_11-59-09_4a5735714a55/events.out.tfevents.1706533051.4a5735714a55.12220.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +160 -0
README.md
CHANGED
@@ -3,6 +3,8 @@ license: cc-by-nc-sa-4.0
|
|
3 |
base_model: microsoft/layoutlmv3-base
|
4 |
tags:
|
5 |
- generated_from_trainer
|
|
|
|
|
6 |
metrics:
|
7 |
- precision
|
8 |
- recall
|
@@ -10,7 +12,26 @@ metrics:
|
|
10 |
- accuracy
|
11 |
model-index:
|
12 |
- name: layoutlmv3-test
|
13 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
---
|
15 |
|
16 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -18,7 +39,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
18 |
|
19 |
# layoutlmv3-test
|
20 |
|
21 |
-
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on
|
22 |
It achieves the following results on the evaluation set:
|
23 |
- Loss: 0.8036
|
24 |
- Precision: 0.8973
|
|
|
3 |
base_model: microsoft/layoutlmv3-base
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- funsd
|
8 |
metrics:
|
9 |
- precision
|
10 |
- recall
|
|
|
12 |
- accuracy
|
13 |
model-index:
|
14 |
- name: layoutlmv3-test
|
15 |
+
results:
|
16 |
+
- task:
|
17 |
+
name: Token Classification
|
18 |
+
type: token-classification
|
19 |
+
dataset:
|
20 |
+
name: funsd
|
21 |
+
type: funsd
|
22 |
+
metrics:
|
23 |
+
- name: Precision
|
24 |
+
type: precision
|
25 |
+
value: 0.8972868217054264
|
26 |
+
- name: Recall
|
27 |
+
type: recall
|
28 |
+
value: 0.920019870839543
|
29 |
+
- name: F1
|
30 |
+
type: f1
|
31 |
+
value: 0.9085111601667893
|
32 |
+
- name: Accuracy
|
33 |
+
type: accuracy
|
34 |
+
value: 0.8480922382027815
|
35 |
---
|
36 |
|
37 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
39 |
|
40 |
# layoutlmv3-test
|
41 |
|
42 |
+
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the funsd dataset.
|
43 |
It achieves the following results on the evaluation set:
|
44 |
- Loss: 0.8036
|
45 |
- Precision: 0.8973
|
all_results.json
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 52.63,
|
3 |
+
"eval_accuracy": 0.8480922382027815,
|
4 |
+
"eval_f1": 0.9085111601667893,
|
5 |
+
"eval_loss": 0.8036019206047058,
|
6 |
+
"eval_precision": 0.8972868217054264,
|
7 |
+
"eval_recall": 0.920019870839543,
|
8 |
+
"eval_runtime": 9.9328,
|
9 |
+
"eval_samples": 50,
|
10 |
+
"eval_samples_per_second": 5.034,
|
11 |
+
"eval_steps_per_second": 0.705,
|
12 |
+
"train_loss": 0.16229200553894044,
|
13 |
+
"train_runtime": 3424.968,
|
14 |
+
"train_samples": 149,
|
15 |
+
"train_samples_per_second": 2.336,
|
16 |
+
"train_steps_per_second": 0.292
|
17 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 52.63,
|
3 |
+
"eval_accuracy": 0.8480922382027815,
|
4 |
+
"eval_f1": 0.9085111601667893,
|
5 |
+
"eval_loss": 0.8036019206047058,
|
6 |
+
"eval_precision": 0.8972868217054264,
|
7 |
+
"eval_recall": 0.920019870839543,
|
8 |
+
"eval_runtime": 9.9328,
|
9 |
+
"eval_samples": 50,
|
10 |
+
"eval_samples_per_second": 5.034,
|
11 |
+
"eval_steps_per_second": 0.705
|
12 |
+
}
|
runs/Jan29_11-59-09_4a5735714a55/events.out.tfevents.1706533051.4a5735714a55.12220.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2e72a0fb020802ad473129ce20ebc76cdc44a79b31e948ec4c03b760f984ea73
|
3 |
+
size 560
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 52.63,
|
3 |
+
"train_loss": 0.16229200553894044,
|
4 |
+
"train_runtime": 3424.968,
|
5 |
+
"train_samples": 149,
|
6 |
+
"train_samples_per_second": 2.336,
|
7 |
+
"train_steps_per_second": 0.292
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,160 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9085111601667893,
|
3 |
+
"best_model_checkpoint": "layoutlmv3-test/checkpoint-1000",
|
4 |
+
"epoch": 52.63157894736842,
|
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": 5.26,
|
13 |
+
"eval_accuracy": 0.8407226910733389,
|
14 |
+
"eval_f1": 0.8338136407300673,
|
15 |
+
"eval_loss": 0.511518120765686,
|
16 |
+
"eval_precision": 0.8070664807066481,
|
17 |
+
"eval_recall": 0.862394436164928,
|
18 |
+
"eval_runtime": 8.3121,
|
19 |
+
"eval_samples_per_second": 6.015,
|
20 |
+
"eval_steps_per_second": 0.842,
|
21 |
+
"step": 100
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 10.53,
|
25 |
+
"eval_accuracy": 0.8546297396885773,
|
26 |
+
"eval_f1": 0.8904576436222005,
|
27 |
+
"eval_loss": 0.4660772979259491,
|
28 |
+
"eval_precision": 0.8730310262529833,
|
29 |
+
"eval_recall": 0.9085941381023348,
|
30 |
+
"eval_runtime": 9.8898,
|
31 |
+
"eval_samples_per_second": 5.056,
|
32 |
+
"eval_steps_per_second": 0.708,
|
33 |
+
"step": 200
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 15.79,
|
37 |
+
"eval_accuracy": 0.8552240580054677,
|
38 |
+
"eval_f1": 0.9001475651746188,
|
39 |
+
"eval_loss": 0.5612959861755371,
|
40 |
+
"eval_precision": 0.8913784705309303,
|
41 |
+
"eval_recall": 0.9090909090909091,
|
42 |
+
"eval_runtime": 9.5301,
|
43 |
+
"eval_samples_per_second": 5.247,
|
44 |
+
"eval_steps_per_second": 0.735,
|
45 |
+
"step": 300
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 21.05,
|
49 |
+
"eval_accuracy": 0.8507072387970998,
|
50 |
+
"eval_f1": 0.8959365708622399,
|
51 |
+
"eval_loss": 0.6766558885574341,
|
52 |
+
"eval_precision": 0.893722194760257,
|
53 |
+
"eval_recall": 0.8981619473422752,
|
54 |
+
"eval_runtime": 9.557,
|
55 |
+
"eval_samples_per_second": 5.232,
|
56 |
+
"eval_steps_per_second": 0.732,
|
57 |
+
"step": 400
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 26.32,
|
61 |
+
"learning_rate": 5e-06,
|
62 |
+
"loss": 0.3022,
|
63 |
+
"step": 500
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 26.32,
|
67 |
+
"eval_accuracy": 0.8625936051349102,
|
68 |
+
"eval_f1": 0.9048553212359,
|
69 |
+
"eval_loss": 0.7019667625427246,
|
70 |
+
"eval_precision": 0.8934624697336562,
|
71 |
+
"eval_recall": 0.9165424739195231,
|
72 |
+
"eval_runtime": 8.8998,
|
73 |
+
"eval_samples_per_second": 5.618,
|
74 |
+
"eval_steps_per_second": 0.787,
|
75 |
+
"step": 500
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 31.58,
|
79 |
+
"eval_accuracy": 0.8591465588969452,
|
80 |
+
"eval_f1": 0.912936546974914,
|
81 |
+
"eval_loss": 0.7107805609703064,
|
82 |
+
"eval_precision": 0.9040428641013152,
|
83 |
+
"eval_recall": 0.9220069547938401,
|
84 |
+
"eval_runtime": 10.5027,
|
85 |
+
"eval_samples_per_second": 4.761,
|
86 |
+
"eval_steps_per_second": 0.666,
|
87 |
+
"step": 600
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 36.84,
|
91 |
+
"eval_accuracy": 0.8516581481041245,
|
92 |
+
"eval_f1": 0.911198815984213,
|
93 |
+
"eval_loss": 0.7377670407295227,
|
94 |
+
"eval_precision": 0.9049485546300833,
|
95 |
+
"eval_recall": 0.9175360158966717,
|
96 |
+
"eval_runtime": 8.9287,
|
97 |
+
"eval_samples_per_second": 5.6,
|
98 |
+
"eval_steps_per_second": 0.784,
|
99 |
+
"step": 700
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 42.11,
|
103 |
+
"eval_accuracy": 0.8536788303815523,
|
104 |
+
"eval_f1": 0.9117285468404228,
|
105 |
+
"eval_loss": 0.7891532778739929,
|
106 |
+
"eval_precision": 0.9026290165530672,
|
107 |
+
"eval_recall": 0.9210134128166915,
|
108 |
+
"eval_runtime": 8.67,
|
109 |
+
"eval_samples_per_second": 5.767,
|
110 |
+
"eval_steps_per_second": 0.807,
|
111 |
+
"step": 800
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 47.37,
|
115 |
+
"eval_accuracy": 0.8490431475098063,
|
116 |
+
"eval_f1": 0.909894426712497,
|
117 |
+
"eval_loss": 0.8132860660552979,
|
118 |
+
"eval_precision": 0.8995145631067961,
|
119 |
+
"eval_recall": 0.9205166418281172,
|
120 |
+
"eval_runtime": 9.3551,
|
121 |
+
"eval_samples_per_second": 5.345,
|
122 |
+
"eval_steps_per_second": 0.748,
|
123 |
+
"step": 900
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 52.63,
|
127 |
+
"learning_rate": 0.0,
|
128 |
+
"loss": 0.0223,
|
129 |
+
"step": 1000
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 52.63,
|
133 |
+
"eval_accuracy": 0.8480922382027815,
|
134 |
+
"eval_f1": 0.9085111601667893,
|
135 |
+
"eval_loss": 0.8036019206047058,
|
136 |
+
"eval_precision": 0.8972868217054264,
|
137 |
+
"eval_recall": 0.920019870839543,
|
138 |
+
"eval_runtime": 9.8667,
|
139 |
+
"eval_samples_per_second": 5.068,
|
140 |
+
"eval_steps_per_second": 0.709,
|
141 |
+
"step": 1000
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 52.63,
|
145 |
+
"step": 1000,
|
146 |
+
"total_flos": 2067720312311808.0,
|
147 |
+
"train_loss": 0.16229200553894044,
|
148 |
+
"train_runtime": 3424.968,
|
149 |
+
"train_samples_per_second": 2.336,
|
150 |
+
"train_steps_per_second": 0.292
|
151 |
+
}
|
152 |
+
],
|
153 |
+
"logging_steps": 500,
|
154 |
+
"max_steps": 1000,
|
155 |
+
"num_train_epochs": 53,
|
156 |
+
"save_steps": 500,
|
157 |
+
"total_flos": 2067720312311808.0,
|
158 |
+
"trial_name": null,
|
159 |
+
"trial_params": null
|
160 |
+
}
|