End of training
Browse files- README.md +8 -6
- all_results.json +11 -11
- eval_results.json +7 -7
- logs/events.out.tfevents.1686749324.garda.2589545.3 +3 -0
- train_results.json +5 -5
- trainer_state.json +79 -62
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: mrpc
|
19 |
split: validation
|
@@ -24,7 +26,7 @@ model-index:
|
|
24 |
value: 0.6838235294117647
|
25 |
- name: F1
|
26 |
type: f1
|
27 |
-
value: 0.
|
28 |
---
|
29 |
|
30 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -32,12 +34,12 @@ should probably proofread and complete it, then remove this comment. -->
|
|
32 |
|
33 |
# hBERTv2_new_no_pretrain_mrpc
|
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:
|
38 |
- Accuracy: 0.6838
|
39 |
-
- F1: 0.
|
40 |
-
- Combined Score: 0.
|
41 |
|
42 |
## Model description
|
43 |
|
|
|
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 MRPC
|
19 |
type: glue
|
20 |
config: mrpc
|
21 |
split: validation
|
|
|
26 |
value: 0.6838235294117647
|
27 |
- name: F1
|
28 |
type: f1
|
29 |
+
value: 0.7895595432300163
|
30 |
---
|
31 |
|
32 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
34 |
|
35 |
# hBERTv2_new_no_pretrain_mrpc
|
36 |
|
37 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on the GLUE MRPC dataset.
|
38 |
It achieves the following results on the evaluation set:
|
39 |
+
- Loss: 0.5914
|
40 |
- Accuracy: 0.6838
|
41 |
+
- F1: 0.7896
|
42 |
+
- Combined Score: 0.7367
|
43 |
|
44 |
## Model description
|
45 |
|
all_results.json
CHANGED
@@ -1,16 +1,16 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
"eval_accuracy": 0.6838235294117647,
|
4 |
-
"eval_combined_score": 0.
|
5 |
-
"eval_f1": 0.
|
6 |
-
"eval_loss": 0.
|
7 |
-
"eval_runtime":
|
8 |
"eval_samples": 408,
|
9 |
-
"eval_samples_per_second":
|
10 |
-
"eval_steps_per_second":
|
11 |
-
"train_loss": 0.
|
12 |
-
"train_runtime":
|
13 |
"train_samples": 3668,
|
14 |
-
"train_samples_per_second":
|
15 |
-
"train_steps_per_second":
|
16 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 7.0,
|
3 |
"eval_accuracy": 0.6838235294117647,
|
4 |
+
"eval_combined_score": 0.7366915363208906,
|
5 |
+
"eval_f1": 0.7895595432300163,
|
6 |
+
"eval_loss": 0.5914379358291626,
|
7 |
+
"eval_runtime": 1.8267,
|
8 |
"eval_samples": 408,
|
9 |
+
"eval_samples_per_second": 223.355,
|
10 |
+
"eval_steps_per_second": 2.19,
|
11 |
+
"train_loss": 0.42316288548737324,
|
12 |
+
"train_runtime": 454.4346,
|
13 |
"train_samples": 3668,
|
14 |
+
"train_samples_per_second": 403.578,
|
15 |
+
"train_steps_per_second": 3.191
|
16 |
}
|
eval_results.json
CHANGED
@@ -1,11 +1,11 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
"eval_accuracy": 0.6838235294117647,
|
4 |
-
"eval_combined_score": 0.
|
5 |
-
"eval_f1": 0.
|
6 |
-
"eval_loss": 0.
|
7 |
-
"eval_runtime":
|
8 |
"eval_samples": 408,
|
9 |
-
"eval_samples_per_second":
|
10 |
-
"eval_steps_per_second":
|
11 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 7.0,
|
3 |
"eval_accuracy": 0.6838235294117647,
|
4 |
+
"eval_combined_score": 0.7366915363208906,
|
5 |
+
"eval_f1": 0.7895595432300163,
|
6 |
+
"eval_loss": 0.5914379358291626,
|
7 |
+
"eval_runtime": 1.8267,
|
8 |
"eval_samples": 408,
|
9 |
+
"eval_samples_per_second": 223.355,
|
10 |
+
"eval_steps_per_second": 2.19
|
11 |
}
|
logs/events.out.tfevents.1686749324.garda.2589545.3
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aaed7936e0110bc2b9b2f2339b944c8cff507c0e7c9d592aa1bbaf89194af206
|
3 |
+
size 467
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 3668,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 7.0,
|
3 |
+
"train_loss": 0.42316288548737324,
|
4 |
+
"train_runtime": 454.4346,
|
5 |
"train_samples": 3668,
|
6 |
+
"train_samples_per_second": 403.578,
|
7 |
+
"train_steps_per_second": 3.191
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,16 +1,16 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "hBERTv2_new_no_pretrain_mrpc/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": 29
|
15 |
},
|
16 |
{
|
@@ -18,110 +18,127 @@
|
|
18 |
"eval_accuracy": 0.6838235294117647,
|
19 |
"eval_combined_score": 0.7480253018237863,
|
20 |
"eval_f1": 0.8122270742358079,
|
21 |
-
"eval_loss": 0.
|
22 |
-
"eval_runtime":
|
23 |
-
"eval_samples_per_second":
|
24 |
-
"eval_steps_per_second":
|
25 |
"step": 29
|
26 |
},
|
27 |
{
|
28 |
"epoch": 2.0,
|
29 |
-
"learning_rate":
|
30 |
-
"loss": 0.
|
31 |
"step": 58
|
32 |
},
|
33 |
{
|
34 |
"epoch": 2.0,
|
35 |
"eval_accuracy": 0.6838235294117647,
|
36 |
-
"eval_combined_score": 0.
|
37 |
-
"eval_f1": 0.
|
38 |
-
"eval_loss": 0.
|
39 |
-
"eval_runtime":
|
40 |
-
"eval_samples_per_second":
|
41 |
-
"eval_steps_per_second":
|
42 |
"step": 58
|
43 |
},
|
44 |
{
|
45 |
"epoch": 3.0,
|
46 |
-
"learning_rate":
|
47 |
-
"loss": 0.
|
48 |
"step": 87
|
49 |
},
|
50 |
{
|
51 |
"epoch": 3.0,
|
52 |
-
"eval_accuracy": 0.
|
53 |
-
"eval_combined_score": 0.
|
54 |
-
"eval_f1": 0.
|
55 |
-
"eval_loss": 0.
|
56 |
-
"eval_runtime":
|
57 |
-
"eval_samples_per_second":
|
58 |
-
"eval_steps_per_second":
|
59 |
"step": 87
|
60 |
},
|
61 |
{
|
62 |
"epoch": 4.0,
|
63 |
-
"learning_rate":
|
64 |
-
"loss": 0.
|
65 |
"step": 116
|
66 |
},
|
67 |
{
|
68 |
"epoch": 4.0,
|
69 |
-
"eval_accuracy": 0.
|
70 |
-
"eval_combined_score": 0.
|
71 |
-
"eval_f1": 0.
|
72 |
-
"eval_loss": 0.
|
73 |
-
"eval_runtime":
|
74 |
-
"eval_samples_per_second":
|
75 |
-
"eval_steps_per_second":
|
76 |
"step": 116
|
77 |
},
|
78 |
{
|
79 |
"epoch": 5.0,
|
80 |
-
"learning_rate":
|
81 |
-
"loss": 0.
|
82 |
"step": 145
|
83 |
},
|
84 |
{
|
85 |
"epoch": 5.0,
|
86 |
-
"eval_accuracy": 0.
|
87 |
-
"eval_combined_score": 0.
|
88 |
-
"eval_f1": 0.
|
89 |
-
"eval_loss":
|
90 |
-
"eval_runtime":
|
91 |
-
"eval_samples_per_second":
|
92 |
-
"eval_steps_per_second":
|
93 |
"step": 145
|
94 |
},
|
95 |
{
|
96 |
"epoch": 6.0,
|
97 |
-
"learning_rate":
|
98 |
-
"loss": 0.
|
99 |
"step": 174
|
100 |
},
|
101 |
{
|
102 |
"epoch": 6.0,
|
103 |
-
"eval_accuracy": 0.
|
104 |
-
"eval_combined_score": 0.
|
105 |
-
"eval_f1": 0.
|
106 |
-
"eval_loss": 0.
|
107 |
-
"eval_runtime":
|
108 |
-
"eval_samples_per_second":
|
109 |
-
"eval_steps_per_second":
|
110 |
"step": 174
|
111 |
},
|
112 |
{
|
113 |
-
"epoch":
|
114 |
-
"
|
115 |
-
"
|
116 |
-
"
|
117 |
-
|
118 |
-
|
119 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
120 |
}
|
121 |
],
|
122 |
"max_steps": 1450,
|
123 |
"num_train_epochs": 50,
|
124 |
-
"total_flos":
|
125 |
"trial_name": null,
|
126 |
"trial_params": null
|
127 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.5914379358291626,
|
3 |
+
"best_model_checkpoint": "hBERTv2_new_no_pretrain_mrpc/checkpoint-58",
|
4 |
+
"epoch": 7.0,
|
5 |
+
"global_step": 203,
|
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": 0.6685,
|
14 |
"step": 29
|
15 |
},
|
16 |
{
|
|
|
18 |
"eval_accuracy": 0.6838235294117647,
|
19 |
"eval_combined_score": 0.7480253018237863,
|
20 |
"eval_f1": 0.8122270742358079,
|
21 |
+
"eval_loss": 0.6107444167137146,
|
22 |
+
"eval_runtime": 1.8389,
|
23 |
+
"eval_samples_per_second": 221.872,
|
24 |
+
"eval_steps_per_second": 2.175,
|
25 |
"step": 29
|
26 |
},
|
27 |
{
|
28 |
"epoch": 2.0,
|
29 |
+
"learning_rate": 3.8400000000000005e-05,
|
30 |
+
"loss": 0.6337,
|
31 |
"step": 58
|
32 |
},
|
33 |
{
|
34 |
"epoch": 2.0,
|
35 |
"eval_accuracy": 0.6838235294117647,
|
36 |
+
"eval_combined_score": 0.7366915363208906,
|
37 |
+
"eval_f1": 0.7895595432300163,
|
38 |
+
"eval_loss": 0.5914379358291626,
|
39 |
+
"eval_runtime": 1.8463,
|
40 |
+
"eval_samples_per_second": 220.985,
|
41 |
+
"eval_steps_per_second": 2.167,
|
42 |
"step": 58
|
43 |
},
|
44 |
{
|
45 |
"epoch": 3.0,
|
46 |
+
"learning_rate": 3.76e-05,
|
47 |
+
"loss": 0.529,
|
48 |
"step": 87
|
49 |
},
|
50 |
{
|
51 |
"epoch": 3.0,
|
52 |
+
"eval_accuracy": 0.6642156862745098,
|
53 |
+
"eval_combined_score": 0.7173674746280421,
|
54 |
+
"eval_f1": 0.7705192629815745,
|
55 |
+
"eval_loss": 0.6385138034820557,
|
56 |
+
"eval_runtime": 1.8437,
|
57 |
+
"eval_samples_per_second": 221.293,
|
58 |
+
"eval_steps_per_second": 2.17,
|
59 |
"step": 87
|
60 |
},
|
61 |
{
|
62 |
"epoch": 4.0,
|
63 |
+
"learning_rate": 3.680000000000001e-05,
|
64 |
+
"loss": 0.4182,
|
65 |
"step": 116
|
66 |
},
|
67 |
{
|
68 |
"epoch": 4.0,
|
69 |
+
"eval_accuracy": 0.6985294117647058,
|
70 |
+
"eval_combined_score": 0.7518003635685653,
|
71 |
+
"eval_f1": 0.8050713153724247,
|
72 |
+
"eval_loss": 0.6618954539299011,
|
73 |
+
"eval_runtime": 1.8368,
|
74 |
+
"eval_samples_per_second": 222.12,
|
75 |
+
"eval_steps_per_second": 2.178,
|
76 |
"step": 116
|
77 |
},
|
78 |
{
|
79 |
"epoch": 5.0,
|
80 |
+
"learning_rate": 3.6e-05,
|
81 |
+
"loss": 0.3095,
|
82 |
"step": 145
|
83 |
},
|
84 |
{
|
85 |
"epoch": 5.0,
|
86 |
+
"eval_accuracy": 0.6470588235294118,
|
87 |
+
"eval_combined_score": 0.7019077901430844,
|
88 |
+
"eval_f1": 0.7567567567567568,
|
89 |
+
"eval_loss": 1.0039604902267456,
|
90 |
+
"eval_runtime": 1.8407,
|
91 |
+
"eval_samples_per_second": 221.66,
|
92 |
+
"eval_steps_per_second": 2.173,
|
93 |
"step": 145
|
94 |
},
|
95 |
{
|
96 |
"epoch": 6.0,
|
97 |
+
"learning_rate": 3.52e-05,
|
98 |
+
"loss": 0.2219,
|
99 |
"step": 174
|
100 |
},
|
101 |
{
|
102 |
"epoch": 6.0,
|
103 |
+
"eval_accuracy": 0.6225490196078431,
|
104 |
+
"eval_combined_score": 0.6659914909359972,
|
105 |
+
"eval_f1": 0.7094339622641511,
|
106 |
+
"eval_loss": 0.945849597454071,
|
107 |
+
"eval_runtime": 1.8381,
|
108 |
+
"eval_samples_per_second": 221.964,
|
109 |
+
"eval_steps_per_second": 2.176,
|
110 |
"step": 174
|
111 |
},
|
112 |
{
|
113 |
+
"epoch": 7.0,
|
114 |
+
"learning_rate": 3.44e-05,
|
115 |
+
"loss": 0.1813,
|
116 |
+
"step": 203
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 7.0,
|
120 |
+
"eval_accuracy": 0.6838235294117647,
|
121 |
+
"eval_combined_score": 0.7353001944579485,
|
122 |
+
"eval_f1": 0.7867768595041322,
|
123 |
+
"eval_loss": 1.1248677968978882,
|
124 |
+
"eval_runtime": 1.8303,
|
125 |
+
"eval_samples_per_second": 222.913,
|
126 |
+
"eval_steps_per_second": 2.185,
|
127 |
+
"step": 203
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 7.0,
|
131 |
+
"step": 203,
|
132 |
+
"total_flos": 3757404659384320.0,
|
133 |
+
"train_loss": 0.42316288548737324,
|
134 |
+
"train_runtime": 454.4346,
|
135 |
+
"train_samples_per_second": 403.578,
|
136 |
+
"train_steps_per_second": 3.191
|
137 |
}
|
138 |
],
|
139 |
"max_steps": 1450,
|
140 |
"num_train_epochs": 50,
|
141 |
+
"total_flos": 3757404659384320.0,
|
142 |
"trial_name": null,
|
143 |
"trial_params": null
|
144 |
}
|