End of training
Browse files- README.md +9 -7
- all_results.json +16 -0
- eval_results.json +11 -0
- logs/events.out.tfevents.1674651429.garda.1933772.20 +3 -0
- train_results.json +8 -0
- trainer_state.json +127 -0
README.md
CHANGED
@@ -1,4 +1,6 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: apache-2.0
|
3 |
tags:
|
4 |
- generated_from_trainer
|
@@ -13,7 +15,7 @@ model-index:
|
|
13 |
name: Text Classification
|
14 |
type: text-classification
|
15 |
dataset:
|
16 |
-
name:
|
17 |
type: glue
|
18 |
config: stsb
|
19 |
split: validation
|
@@ -21,7 +23,7 @@ model-index:
|
|
21 |
metrics:
|
22 |
- name: Spearmanr
|
23 |
type: spearmanr
|
24 |
-
value: 0.
|
25 |
---
|
26 |
|
27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -29,12 +31,12 @@ should probably proofread and complete it, then remove this comment. -->
|
|
29 |
|
30 |
# mobilebert_sa_GLUE_Experiment_stsb
|
31 |
|
32 |
-
This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the
|
33 |
It achieves the following results on the evaluation set:
|
34 |
-
- Loss: 2.
|
35 |
-
- Pearson: 0.
|
36 |
-
- Spearmanr: 0.
|
37 |
-
- Combined Score: 0.
|
38 |
|
39 |
## Model description
|
40 |
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
license: apache-2.0
|
5 |
tags:
|
6 |
- generated_from_trainer
|
|
|
15 |
name: Text Classification
|
16 |
type: text-classification
|
17 |
dataset:
|
18 |
+
name: GLUE STSB
|
19 |
type: glue
|
20 |
config: stsb
|
21 |
split: validation
|
|
|
23 |
metrics:
|
24 |
- name: Spearmanr
|
25 |
type: spearmanr
|
26 |
+
value: 0.08150723019056925
|
27 |
---
|
28 |
|
29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
31 |
|
32 |
# mobilebert_sa_GLUE_Experiment_stsb
|
33 |
|
34 |
+
This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE STSB dataset.
|
35 |
It achieves the following results on the evaluation set:
|
36 |
+
- Loss: 2.3024
|
37 |
+
- Pearson: 0.0671
|
38 |
+
- Spearmanr: 0.0815
|
39 |
+
- Combined Score: 0.0743
|
40 |
|
41 |
## Model description
|
42 |
|
all_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"eval_combined_score": 0.07431917071856006,
|
4 |
+
"eval_loss": 2.3024191856384277,
|
5 |
+
"eval_pearson": 0.06713111124655088,
|
6 |
+
"eval_runtime": 2.4369,
|
7 |
+
"eval_samples": 1500,
|
8 |
+
"eval_samples_per_second": 615.529,
|
9 |
+
"eval_spearmanr": 0.08150723019056925,
|
10 |
+
"eval_steps_per_second": 4.924,
|
11 |
+
"train_loss": 2.3151992232711227,
|
12 |
+
"train_runtime": 277.2499,
|
13 |
+
"train_samples": 5749,
|
14 |
+
"train_samples_per_second": 1036.79,
|
15 |
+
"train_steps_per_second": 8.115
|
16 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"eval_combined_score": 0.07431917071856006,
|
4 |
+
"eval_loss": 2.3024191856384277,
|
5 |
+
"eval_pearson": 0.06713111124655088,
|
6 |
+
"eval_runtime": 2.4369,
|
7 |
+
"eval_samples": 1500,
|
8 |
+
"eval_samples_per_second": 615.529,
|
9 |
+
"eval_spearmanr": 0.08150723019056925,
|
10 |
+
"eval_steps_per_second": 4.924
|
11 |
+
}
|
logs/events.out.tfevents.1674651429.garda.1933772.20
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f6208cf535e0b05ebbcc00a200c6bd744c2567a59093ff240d8368385a93bcbc
|
3 |
+
size 473
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"train_loss": 2.3151992232711227,
|
4 |
+
"train_runtime": 277.2499,
|
5 |
+
"train_samples": 5749,
|
6 |
+
"train_samples_per_second": 1036.79,
|
7 |
+
"train_steps_per_second": 8.115
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,127 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 2.3024191856384277,
|
3 |
+
"best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_stsb/checkpoint-45",
|
4 |
+
"epoch": 6.0,
|
5 |
+
"global_step": 270,
|
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": 4.906666666666667e-05,
|
13 |
+
"loss": 4.0455,
|
14 |
+
"step": 45
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.0,
|
18 |
+
"eval_combined_score": 0.07431917071856006,
|
19 |
+
"eval_loss": 2.3024191856384277,
|
20 |
+
"eval_pearson": 0.06713111124655088,
|
21 |
+
"eval_runtime": 2.4381,
|
22 |
+
"eval_samples_per_second": 615.238,
|
23 |
+
"eval_spearmanr": 0.08150723019056925,
|
24 |
+
"eval_steps_per_second": 4.922,
|
25 |
+
"step": 45
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 2.0,
|
29 |
+
"learning_rate": 4.806666666666667e-05,
|
30 |
+
"loss": 2.1712,
|
31 |
+
"step": 90
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 2.0,
|
35 |
+
"eval_combined_score": 0.06681067529441857,
|
36 |
+
"eval_loss": 2.6643781661987305,
|
37 |
+
"eval_pearson": 0.0611865012551173,
|
38 |
+
"eval_runtime": 2.4348,
|
39 |
+
"eval_samples_per_second": 616.068,
|
40 |
+
"eval_spearmanr": 0.07243484933371984,
|
41 |
+
"eval_steps_per_second": 4.929,
|
42 |
+
"step": 90
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 3.0,
|
46 |
+
"learning_rate": 4.706666666666667e-05,
|
47 |
+
"loss": 2.0637,
|
48 |
+
"step": 135
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 3.0,
|
52 |
+
"eval_combined_score": 0.06251030424678386,
|
53 |
+
"eval_loss": 2.3624558448791504,
|
54 |
+
"eval_pearson": 0.058165468295460696,
|
55 |
+
"eval_runtime": 2.4296,
|
56 |
+
"eval_samples_per_second": 617.389,
|
57 |
+
"eval_spearmanr": 0.06685514019810702,
|
58 |
+
"eval_steps_per_second": 4.939,
|
59 |
+
"step": 135
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 4.0,
|
63 |
+
"learning_rate": 4.606666666666667e-05,
|
64 |
+
"loss": 1.996,
|
65 |
+
"step": 180
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 4.0,
|
69 |
+
"eval_combined_score": 0.07203733674672383,
|
70 |
+
"eval_loss": 2.8670907020568848,
|
71 |
+
"eval_pearson": 0.0712976536645173,
|
72 |
+
"eval_runtime": 2.4406,
|
73 |
+
"eval_samples_per_second": 614.594,
|
74 |
+
"eval_spearmanr": 0.07277701982893034,
|
75 |
+
"eval_steps_per_second": 4.917,
|
76 |
+
"step": 180
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 5.0,
|
80 |
+
"learning_rate": 4.5066666666666667e-05,
|
81 |
+
"loss": 1.908,
|
82 |
+
"step": 225
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 5.0,
|
86 |
+
"eval_combined_score": 0.09261579480394588,
|
87 |
+
"eval_loss": 2.662240982055664,
|
88 |
+
"eval_pearson": 0.09544442363952416,
|
89 |
+
"eval_runtime": 2.4348,
|
90 |
+
"eval_samples_per_second": 616.07,
|
91 |
+
"eval_spearmanr": 0.08978716596836762,
|
92 |
+
"eval_steps_per_second": 4.929,
|
93 |
+
"step": 225
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 6.0,
|
97 |
+
"learning_rate": 4.406666666666667e-05,
|
98 |
+
"loss": 1.7068,
|
99 |
+
"step": 270
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 6.0,
|
103 |
+
"eval_combined_score": 0.2001877685151721,
|
104 |
+
"eval_loss": 2.388475179672241,
|
105 |
+
"eval_pearson": 0.19980969966905146,
|
106 |
+
"eval_runtime": 2.4335,
|
107 |
+
"eval_samples_per_second": 616.4,
|
108 |
+
"eval_spearmanr": 0.20056583736129271,
|
109 |
+
"eval_steps_per_second": 4.931,
|
110 |
+
"step": 270
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 6.0,
|
114 |
+
"step": 270,
|
115 |
+
"total_flos": 1081506722217984.0,
|
116 |
+
"train_loss": 2.3151992232711227,
|
117 |
+
"train_runtime": 277.2499,
|
118 |
+
"train_samples_per_second": 1036.79,
|
119 |
+
"train_steps_per_second": 8.115
|
120 |
+
}
|
121 |
+
],
|
122 |
+
"max_steps": 2250,
|
123 |
+
"num_train_epochs": 50,
|
124 |
+
"total_flos": 1081506722217984.0,
|
125 |
+
"trial_name": null,
|
126 |
+
"trial_params": null
|
127 |
+
}
|