End of training
Browse files- README.md +5 -3
- all_results.json +15 -0
- eval_results.json +10 -0
- logs/events.out.tfevents.1685335826.serv-3317.2800436.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +185 -0
README.md
CHANGED
@@ -1,4 +1,6 @@
|
|
1 |
---
|
|
|
|
|
2 |
tags:
|
3 |
- generated_from_trainer
|
4 |
datasets:
|
@@ -13,7 +15,7 @@ model-index:
|
|
13 |
name: Text Classification
|
14 |
type: text-classification
|
15 |
dataset:
|
16 |
-
name:
|
17 |
type: glue
|
18 |
config: cola
|
19 |
split: validation
|
@@ -32,9 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
32 |
|
33 |
# sa_BERT_no_pretrain_cola
|
34 |
|
35 |
-
This model is a fine-tuned version of [](https://huggingface.co/) on the
|
36 |
It achieves the following results on the evaluation set:
|
37 |
-
- Loss: 0.
|
38 |
- Matthews Correlation: 0.0
|
39 |
- Accuracy: 0.6913
|
40 |
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
|
|
15 |
name: Text Classification
|
16 |
type: text-classification
|
17 |
dataset:
|
18 |
+
name: GLUE COLA
|
19 |
type: glue
|
20 |
config: cola
|
21 |
split: validation
|
|
|
34 |
|
35 |
# sa_BERT_no_pretrain_cola
|
36 |
|
37 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on the GLUE COLA dataset.
|
38 |
It achieves the following results on the evaluation set:
|
39 |
+
- Loss: 0.6180
|
40 |
- Matthews Correlation: 0.0
|
41 |
- Accuracy: 0.6913
|
42 |
|
all_results.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.6912751793861389,
|
4 |
+
"eval_loss": 0.6180034875869751,
|
5 |
+
"eval_matthews_correlation": 0.0,
|
6 |
+
"eval_runtime": 2.0383,
|
7 |
+
"eval_samples": 1043,
|
8 |
+
"eval_samples_per_second": 511.692,
|
9 |
+
"eval_steps_per_second": 4.415,
|
10 |
+
"train_loss": 0.6391209616589902,
|
11 |
+
"train_runtime": 614.413,
|
12 |
+
"train_samples": 8551,
|
13 |
+
"train_samples_per_second": 695.867,
|
14 |
+
"train_steps_per_second": 5.452
|
15 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.6912751793861389,
|
4 |
+
"eval_loss": 0.6180034875869751,
|
5 |
+
"eval_matthews_correlation": 0.0,
|
6 |
+
"eval_runtime": 2.0383,
|
7 |
+
"eval_samples": 1043,
|
8 |
+
"eval_samples_per_second": 511.692,
|
9 |
+
"eval_steps_per_second": 4.415
|
10 |
+
}
|
logs/events.out.tfevents.1685335826.serv-3317.2800436.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:609bc7b54eb6651a54b65e955fec78ad34dad30c45e266719d48915df6b3329b
|
3 |
+
size 427
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"train_loss": 0.6391209616589902,
|
4 |
+
"train_runtime": 614.413,
|
5 |
+
"train_samples": 8551,
|
6 |
+
"train_samples_per_second": 695.867,
|
7 |
+
"train_steps_per_second": 5.452
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,185 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.6180034875869751,
|
3 |
+
"best_model_checkpoint": "sa_BERT_no_pretrain_cola/checkpoint-335",
|
4 |
+
"epoch": 10.0,
|
5 |
+
"global_step": 670,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 1.0,
|
12 |
+
"learning_rate": 0.0004902985074626866,
|
13 |
+
"loss": 0.8826,
|
14 |
+
"step": 67
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.0,
|
18 |
+
"eval_accuracy": 0.6912751793861389,
|
19 |
+
"eval_loss": 0.662401020526886,
|
20 |
+
"eval_matthews_correlation": 0.0,
|
21 |
+
"eval_runtime": 2.0483,
|
22 |
+
"eval_samples_per_second": 509.196,
|
23 |
+
"eval_steps_per_second": 4.394,
|
24 |
+
"step": 67
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 2.0,
|
28 |
+
"learning_rate": 0.00048029850746268655,
|
29 |
+
"loss": 0.616,
|
30 |
+
"step": 134
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 2.0,
|
34 |
+
"eval_accuracy": 0.6912751793861389,
|
35 |
+
"eval_loss": 0.6358437538146973,
|
36 |
+
"eval_matthews_correlation": 0.0,
|
37 |
+
"eval_runtime": 2.0437,
|
38 |
+
"eval_samples_per_second": 510.344,
|
39 |
+
"eval_steps_per_second": 4.404,
|
40 |
+
"step": 134
|
41 |
+
},
|
42 |
+
{
|
43 |
+
"epoch": 3.0,
|
44 |
+
"learning_rate": 0.0004702985074626866,
|
45 |
+
"loss": 0.6134,
|
46 |
+
"step": 201
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 3.0,
|
50 |
+
"eval_accuracy": 0.6912751793861389,
|
51 |
+
"eval_loss": 0.6195451021194458,
|
52 |
+
"eval_matthews_correlation": 0.0,
|
53 |
+
"eval_runtime": 2.0501,
|
54 |
+
"eval_samples_per_second": 508.758,
|
55 |
+
"eval_steps_per_second": 4.39,
|
56 |
+
"step": 201
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 4.0,
|
60 |
+
"learning_rate": 0.0004602985074626866,
|
61 |
+
"loss": 0.6139,
|
62 |
+
"step": 268
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 4.0,
|
66 |
+
"eval_accuracy": 0.6912751793861389,
|
67 |
+
"eval_loss": 0.6284816265106201,
|
68 |
+
"eval_matthews_correlation": 0.0,
|
69 |
+
"eval_runtime": 2.0535,
|
70 |
+
"eval_samples_per_second": 507.913,
|
71 |
+
"eval_steps_per_second": 4.383,
|
72 |
+
"step": 268
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 5.0,
|
76 |
+
"learning_rate": 0.0004502985074626866,
|
77 |
+
"loss": 0.6117,
|
78 |
+
"step": 335
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 5.0,
|
82 |
+
"eval_accuracy": 0.6912751793861389,
|
83 |
+
"eval_loss": 0.6180034875869751,
|
84 |
+
"eval_matthews_correlation": 0.0,
|
85 |
+
"eval_runtime": 2.044,
|
86 |
+
"eval_samples_per_second": 510.27,
|
87 |
+
"eval_steps_per_second": 4.403,
|
88 |
+
"step": 335
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 6.0,
|
92 |
+
"learning_rate": 0.00044029850746268656,
|
93 |
+
"loss": 0.6099,
|
94 |
+
"step": 402
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 6.0,
|
98 |
+
"eval_accuracy": 0.6912751793861389,
|
99 |
+
"eval_loss": 0.618323028087616,
|
100 |
+
"eval_matthews_correlation": 0.0,
|
101 |
+
"eval_runtime": 2.045,
|
102 |
+
"eval_samples_per_second": 510.017,
|
103 |
+
"eval_steps_per_second": 4.401,
|
104 |
+
"step": 402
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 7.0,
|
108 |
+
"learning_rate": 0.0004302985074626866,
|
109 |
+
"loss": 0.6113,
|
110 |
+
"step": 469
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 7.0,
|
114 |
+
"eval_accuracy": 0.6912751793861389,
|
115 |
+
"eval_loss": 0.6232409477233887,
|
116 |
+
"eval_matthews_correlation": 0.0,
|
117 |
+
"eval_runtime": 2.0445,
|
118 |
+
"eval_samples_per_second": 510.158,
|
119 |
+
"eval_steps_per_second": 4.402,
|
120 |
+
"step": 469
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 8.0,
|
124 |
+
"learning_rate": 0.00042029850746268656,
|
125 |
+
"loss": 0.6135,
|
126 |
+
"step": 536
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 8.0,
|
130 |
+
"eval_accuracy": 0.6912751793861389,
|
131 |
+
"eval_loss": 0.6182034015655518,
|
132 |
+
"eval_matthews_correlation": 0.0,
|
133 |
+
"eval_runtime": 2.0437,
|
134 |
+
"eval_samples_per_second": 510.344,
|
135 |
+
"eval_steps_per_second": 4.404,
|
136 |
+
"step": 536
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 9.0,
|
140 |
+
"learning_rate": 0.0004102985074626866,
|
141 |
+
"loss": 0.6094,
|
142 |
+
"step": 603
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 9.0,
|
146 |
+
"eval_accuracy": 0.6912751793861389,
|
147 |
+
"eval_loss": 0.6220687031745911,
|
148 |
+
"eval_matthews_correlation": 0.0,
|
149 |
+
"eval_runtime": 2.0453,
|
150 |
+
"eval_samples_per_second": 509.941,
|
151 |
+
"eval_steps_per_second": 4.4,
|
152 |
+
"step": 603
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 10.0,
|
156 |
+
"learning_rate": 0.0004002985074626866,
|
157 |
+
"loss": 0.6096,
|
158 |
+
"step": 670
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 10.0,
|
162 |
+
"eval_accuracy": 0.6912751793861389,
|
163 |
+
"eval_loss": 0.6310281157493591,
|
164 |
+
"eval_matthews_correlation": 0.0,
|
165 |
+
"eval_runtime": 2.0508,
|
166 |
+
"eval_samples_per_second": 508.571,
|
167 |
+
"eval_steps_per_second": 4.388,
|
168 |
+
"step": 670
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 10.0,
|
172 |
+
"step": 670,
|
173 |
+
"total_flos": 1.311463297777664e+16,
|
174 |
+
"train_loss": 0.6391209616589902,
|
175 |
+
"train_runtime": 614.413,
|
176 |
+
"train_samples_per_second": 695.867,
|
177 |
+
"train_steps_per_second": 5.452
|
178 |
+
}
|
179 |
+
],
|
180 |
+
"max_steps": 3350,
|
181 |
+
"num_train_epochs": 50,
|
182 |
+
"total_flos": 1.311463297777664e+16,
|
183 |
+
"trial_name": null,
|
184 |
+
"trial_params": null
|
185 |
+
}
|