End of training
Browse files- README.md +7 -5
- all_results.json +9 -9
- eval_results.json +5 -5
- logs/events.out.tfevents.1686773182.serv-9219.1715196.9 +3 -0
- train_results.json +5 -5
- trainer_state.json +49 -139
README.md
CHANGED
@@ -1,4 +1,6 @@
|
|
1 |
---
|
|
|
|
|
2 |
tags:
|
3 |
- generated_from_trainer
|
4 |
datasets:
|
@@ -12,7 +14,7 @@ model-index:
|
|
12 |
name: Text Classification
|
13 |
type: text-classification
|
14 |
dataset:
|
15 |
-
name:
|
16 |
type: glue
|
17 |
config: rte
|
18 |
split: validation
|
@@ -20,7 +22,7 @@ model-index:
|
|
20 |
metrics:
|
21 |
- name: Accuracy
|
22 |
type: accuracy
|
23 |
-
value: 0.
|
24 |
---
|
25 |
|
26 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -28,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
28 |
|
29 |
# add_BERT_no_pretrain_rte
|
30 |
|
31 |
-
This model is a fine-tuned version of [](https://huggingface.co/) on the
|
32 |
It achieves the following results on the evaluation set:
|
33 |
-
- Loss: 0.
|
34 |
-
- Accuracy: 0.
|
35 |
|
36 |
## Model description
|
37 |
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
|
|
14 |
name: Text Classification
|
15 |
type: text-classification
|
16 |
dataset:
|
17 |
+
name: GLUE RTE
|
18 |
type: glue
|
19 |
config: rte
|
20 |
split: validation
|
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
+
value: 0.5270758122743683
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
30 |
|
31 |
# add_BERT_no_pretrain_rte
|
32 |
|
33 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on the GLUE RTE dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 0.6942
|
36 |
+
- Accuracy: 0.5271
|
37 |
|
38 |
## Model description
|
39 |
|
all_results.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
"eval_accuracy": 0.5270758122743683,
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 0.
|
6 |
"eval_samples": 277,
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"eval_steps_per_second":
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
"train_samples": 2490,
|
12 |
-
"train_samples_per_second":
|
13 |
-
"train_steps_per_second":
|
14 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 6.0,
|
3 |
"eval_accuracy": 0.5270758122743683,
|
4 |
+
"eval_loss": 0.6942489743232727,
|
5 |
+
"eval_runtime": 0.5351,
|
6 |
"eval_samples": 277,
|
7 |
+
"eval_samples_per_second": 517.62,
|
8 |
+
"eval_steps_per_second": 5.606,
|
9 |
+
"train_loss": 0.7188253561655681,
|
10 |
+
"train_runtime": 120.124,
|
11 |
"train_samples": 2490,
|
12 |
+
"train_samples_per_second": 1036.429,
|
13 |
+
"train_steps_per_second": 8.325
|
14 |
}
|
eval_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
"eval_accuracy": 0.5270758122743683,
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 0.
|
6 |
"eval_samples": 277,
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"eval_steps_per_second":
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 6.0,
|
3 |
"eval_accuracy": 0.5270758122743683,
|
4 |
+
"eval_loss": 0.6942489743232727,
|
5 |
+
"eval_runtime": 0.5351,
|
6 |
"eval_samples": 277,
|
7 |
+
"eval_samples_per_second": 517.62,
|
8 |
+
"eval_steps_per_second": 5.606
|
9 |
}
|
logs/events.out.tfevents.1686773182.serv-9219.1715196.9
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:11fa2f266640137e6b12c8746132782ae8547fe0a9ec5629ef06c7576d46a1d2
|
3 |
+
size 357
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 2490,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"train_loss": 0.7188253561655681,
|
4 |
+
"train_runtime": 120.124,
|
5 |
"train_samples": 2490,
|
6 |
+
"train_samples_per_second": 1036.429,
|
7 |
+
"train_steps_per_second": 8.325
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,205 +1,115 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "add_BERT_no_pretrain_rte/checkpoint-
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
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":
|
13 |
-
"loss":
|
14 |
"step": 20
|
15 |
},
|
16 |
{
|
17 |
"epoch": 1.0,
|
18 |
"eval_accuracy": 0.5270758122743683,
|
19 |
-
"eval_loss": 0.
|
20 |
-
"eval_runtime": 0.
|
21 |
-
"eval_samples_per_second":
|
22 |
-
"eval_steps_per_second":
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 2.0,
|
27 |
-
"learning_rate":
|
28 |
-
"loss": 0.
|
29 |
"step": 40
|
30 |
},
|
31 |
{
|
32 |
"epoch": 2.0,
|
33 |
-
"eval_accuracy": 0.
|
34 |
-
"eval_loss": 0.
|
35 |
-
"eval_runtime": 0.
|
36 |
-
"eval_samples_per_second":
|
37 |
-
"eval_steps_per_second":
|
38 |
"step": 40
|
39 |
},
|
40 |
{
|
41 |
"epoch": 3.0,
|
42 |
-
"learning_rate":
|
43 |
-
"loss": 0.
|
44 |
"step": 60
|
45 |
},
|
46 |
{
|
47 |
"epoch": 3.0,
|
48 |
"eval_accuracy": 0.4729241877256318,
|
49 |
-
"eval_loss": 0.
|
50 |
-
"eval_runtime": 0.
|
51 |
-
"eval_samples_per_second":
|
52 |
-
"eval_steps_per_second":
|
53 |
"step": 60
|
54 |
},
|
55 |
{
|
56 |
"epoch": 4.0,
|
57 |
-
"learning_rate":
|
58 |
-
"loss": 0.
|
59 |
"step": 80
|
60 |
},
|
61 |
{
|
62 |
"epoch": 4.0,
|
63 |
"eval_accuracy": 0.4729241877256318,
|
64 |
-
"eval_loss": 0.
|
65 |
-
"eval_runtime": 0.
|
66 |
-
"eval_samples_per_second":
|
67 |
-
"eval_steps_per_second":
|
68 |
"step": 80
|
69 |
},
|
70 |
{
|
71 |
"epoch": 5.0,
|
72 |
-
"learning_rate":
|
73 |
-
"loss": 0.
|
74 |
"step": 100
|
75 |
},
|
76 |
{
|
77 |
"epoch": 5.0,
|
78 |
"eval_accuracy": 0.5270758122743683,
|
79 |
-
"eval_loss": 0.
|
80 |
-
"eval_runtime": 0.
|
81 |
-
"eval_samples_per_second":
|
82 |
-
"eval_steps_per_second":
|
83 |
"step": 100
|
84 |
},
|
85 |
{
|
86 |
"epoch": 6.0,
|
87 |
-
"learning_rate":
|
88 |
-
"loss": 0.
|
89 |
"step": 120
|
90 |
},
|
91 |
{
|
92 |
"epoch": 6.0,
|
93 |
"eval_accuracy": 0.4729241877256318,
|
94 |
-
"eval_loss": 0.
|
95 |
-
"eval_runtime": 0.
|
96 |
-
"eval_samples_per_second":
|
97 |
-
"eval_steps_per_second":
|
98 |
"step": 120
|
99 |
},
|
100 |
{
|
101 |
-
"epoch":
|
102 |
-
"
|
103 |
-
"
|
104 |
-
"
|
105 |
-
|
106 |
-
|
107 |
-
"
|
108 |
-
"eval_accuracy": 0.5270758122743683,
|
109 |
-
"eval_loss": 0.6916900277137756,
|
110 |
-
"eval_runtime": 0.4423,
|
111 |
-
"eval_samples_per_second": 626.273,
|
112 |
-
"eval_steps_per_second": 6.783,
|
113 |
-
"step": 140
|
114 |
-
},
|
115 |
-
{
|
116 |
-
"epoch": 8.0,
|
117 |
-
"learning_rate": 0.000421,
|
118 |
-
"loss": 0.698,
|
119 |
-
"step": 160
|
120 |
-
},
|
121 |
-
{
|
122 |
-
"epoch": 8.0,
|
123 |
-
"eval_accuracy": 0.4729241877256318,
|
124 |
-
"eval_loss": 0.693280041217804,
|
125 |
-
"eval_runtime": 0.4459,
|
126 |
-
"eval_samples_per_second": 621.162,
|
127 |
-
"eval_steps_per_second": 6.727,
|
128 |
-
"step": 160
|
129 |
-
},
|
130 |
-
{
|
131 |
-
"epoch": 9.0,
|
132 |
-
"learning_rate": 0.00041099999999999996,
|
133 |
-
"loss": 0.6967,
|
134 |
-
"step": 180
|
135 |
-
},
|
136 |
-
{
|
137 |
-
"epoch": 9.0,
|
138 |
-
"eval_accuracy": 0.5270758122743683,
|
139 |
-
"eval_loss": 0.6917147040367126,
|
140 |
-
"eval_runtime": 0.4434,
|
141 |
-
"eval_samples_per_second": 624.713,
|
142 |
-
"eval_steps_per_second": 6.766,
|
143 |
-
"step": 180
|
144 |
-
},
|
145 |
-
{
|
146 |
-
"epoch": 10.0,
|
147 |
-
"learning_rate": 0.00040100000000000004,
|
148 |
-
"loss": 0.6926,
|
149 |
-
"step": 200
|
150 |
-
},
|
151 |
-
{
|
152 |
-
"epoch": 10.0,
|
153 |
-
"eval_accuracy": 0.4729241877256318,
|
154 |
-
"eval_loss": 0.715362012386322,
|
155 |
-
"eval_runtime": 0.4422,
|
156 |
-
"eval_samples_per_second": 626.383,
|
157 |
-
"eval_steps_per_second": 6.784,
|
158 |
-
"step": 200
|
159 |
-
},
|
160 |
-
{
|
161 |
-
"epoch": 11.0,
|
162 |
-
"learning_rate": 0.000391,
|
163 |
-
"loss": 0.696,
|
164 |
-
"step": 220
|
165 |
-
},
|
166 |
-
{
|
167 |
-
"epoch": 11.0,
|
168 |
-
"eval_accuracy": 0.4729241877256318,
|
169 |
-
"eval_loss": 0.6963789463043213,
|
170 |
-
"eval_runtime": 0.4402,
|
171 |
-
"eval_samples_per_second": 629.307,
|
172 |
-
"eval_steps_per_second": 6.816,
|
173 |
-
"step": 220
|
174 |
-
},
|
175 |
-
{
|
176 |
-
"epoch": 12.0,
|
177 |
-
"learning_rate": 0.000381,
|
178 |
-
"loss": 0.694,
|
179 |
-
"step": 240
|
180 |
-
},
|
181 |
-
{
|
182 |
-
"epoch": 12.0,
|
183 |
-
"eval_accuracy": 0.5270758122743683,
|
184 |
-
"eval_loss": 0.6917306780815125,
|
185 |
-
"eval_runtime": 0.4402,
|
186 |
-
"eval_samples_per_second": 629.308,
|
187 |
-
"eval_steps_per_second": 6.816,
|
188 |
-
"step": 240
|
189 |
-
},
|
190 |
-
{
|
191 |
-
"epoch": 12.0,
|
192 |
-
"step": 240,
|
193 |
-
"total_flos": 4267580168601600.0,
|
194 |
-
"train_loss": 0.8102153817812602,
|
195 |
-
"train_runtime": 192.7212,
|
196 |
-
"train_samples_per_second": 646.011,
|
197 |
-
"train_steps_per_second": 5.189
|
198 |
}
|
199 |
],
|
200 |
"max_steps": 1000,
|
201 |
"num_train_epochs": 50,
|
202 |
-
"total_flos":
|
203 |
"trial_name": null,
|
204 |
"trial_params": null
|
205 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.6942489743232727,
|
3 |
+
"best_model_checkpoint": "add_BERT_no_pretrain_rte/checkpoint-20",
|
4 |
+
"epoch": 6.0,
|
5 |
+
"global_step": 120,
|
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": 3.9200000000000004e-05,
|
13 |
+
"loss": 0.7731,
|
14 |
"step": 20
|
15 |
},
|
16 |
{
|
17 |
"epoch": 1.0,
|
18 |
"eval_accuracy": 0.5270758122743683,
|
19 |
+
"eval_loss": 0.6942489743232727,
|
20 |
+
"eval_runtime": 0.5221,
|
21 |
+
"eval_samples_per_second": 530.559,
|
22 |
+
"eval_steps_per_second": 5.746,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 2.0,
|
27 |
+
"learning_rate": 3.8400000000000005e-05,
|
28 |
+
"loss": 0.709,
|
29 |
"step": 40
|
30 |
},
|
31 |
{
|
32 |
"epoch": 2.0,
|
33 |
+
"eval_accuracy": 0.4729241877256318,
|
34 |
+
"eval_loss": 0.71894770860672,
|
35 |
+
"eval_runtime": 0.5216,
|
36 |
+
"eval_samples_per_second": 531.047,
|
37 |
+
"eval_steps_per_second": 5.751,
|
38 |
"step": 40
|
39 |
},
|
40 |
{
|
41 |
"epoch": 3.0,
|
42 |
+
"learning_rate": 3.76e-05,
|
43 |
+
"loss": 0.7188,
|
44 |
"step": 60
|
45 |
},
|
46 |
{
|
47 |
"epoch": 3.0,
|
48 |
"eval_accuracy": 0.4729241877256318,
|
49 |
+
"eval_loss": 0.6948172450065613,
|
50 |
+
"eval_runtime": 0.5214,
|
51 |
+
"eval_samples_per_second": 531.271,
|
52 |
+
"eval_steps_per_second": 5.754,
|
53 |
"step": 60
|
54 |
},
|
55 |
{
|
56 |
"epoch": 4.0,
|
57 |
+
"learning_rate": 3.680000000000001e-05,
|
58 |
+
"loss": 0.7007,
|
59 |
"step": 80
|
60 |
},
|
61 |
{
|
62 |
"epoch": 4.0,
|
63 |
"eval_accuracy": 0.4729241877256318,
|
64 |
+
"eval_loss": 0.6980084180831909,
|
65 |
+
"eval_runtime": 0.5256,
|
66 |
+
"eval_samples_per_second": 527.056,
|
67 |
+
"eval_steps_per_second": 5.708,
|
68 |
"step": 80
|
69 |
},
|
70 |
{
|
71 |
"epoch": 5.0,
|
72 |
+
"learning_rate": 3.6e-05,
|
73 |
+
"loss": 0.7048,
|
74 |
"step": 100
|
75 |
},
|
76 |
{
|
77 |
"epoch": 5.0,
|
78 |
"eval_accuracy": 0.5270758122743683,
|
79 |
+
"eval_loss": 0.7017844319343567,
|
80 |
+
"eval_runtime": 0.5223,
|
81 |
+
"eval_samples_per_second": 530.325,
|
82 |
+
"eval_steps_per_second": 5.744,
|
83 |
"step": 100
|
84 |
},
|
85 |
{
|
86 |
"epoch": 6.0,
|
87 |
+
"learning_rate": 3.52e-05,
|
88 |
+
"loss": 0.7065,
|
89 |
"step": 120
|
90 |
},
|
91 |
{
|
92 |
"epoch": 6.0,
|
93 |
"eval_accuracy": 0.4729241877256318,
|
94 |
+
"eval_loss": 0.726894199848175,
|
95 |
+
"eval_runtime": 0.5221,
|
96 |
+
"eval_samples_per_second": 530.593,
|
97 |
+
"eval_steps_per_second": 5.746,
|
98 |
"step": 120
|
99 |
},
|
100 |
{
|
101 |
+
"epoch": 6.0,
|
102 |
+
"step": 120,
|
103 |
+
"total_flos": 2133790084300800.0,
|
104 |
+
"train_loss": 0.7188253561655681,
|
105 |
+
"train_runtime": 120.124,
|
106 |
+
"train_samples_per_second": 1036.429,
|
107 |
+
"train_steps_per_second": 8.325
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
108 |
}
|
109 |
],
|
110 |
"max_steps": 1000,
|
111 |
"num_train_epochs": 50,
|
112 |
+
"total_flos": 2133790084300800.0,
|
113 |
"trial_name": null,
|
114 |
"trial_params": null
|
115 |
}
|