End of training
Browse files- README.md +19 -4
- all_results.json +14 -0
- eval_results.json +9 -0
- logs/events.out.tfevents.1675297811.serv-3331.4063650.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +115 -0
README.md
CHANGED
@@ -1,12 +1,27 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: apache-2.0
|
3 |
tags:
|
4 |
- generated_from_trainer
|
|
|
|
|
5 |
metrics:
|
6 |
- matthews_correlation
|
7 |
model-index:
|
8 |
- name: mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_cola_256
|
9 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
10 |
---
|
11 |
|
12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -14,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
# mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_cola_256
|
16 |
|
17 |
-
This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- Loss: 0.
|
20 |
-
- Matthews Correlation: 0.
|
21 |
|
22 |
## Model description
|
23 |
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
license: apache-2.0
|
5 |
tags:
|
6 |
- generated_from_trainer
|
7 |
+
datasets:
|
8 |
+
- glue
|
9 |
metrics:
|
10 |
- matthews_correlation
|
11 |
model-index:
|
12 |
- name: mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_cola_256
|
13 |
+
results:
|
14 |
+
- task:
|
15 |
+
name: Text Classification
|
16 |
+
type: text-classification
|
17 |
+
dataset:
|
18 |
+
name: GLUE COLA
|
19 |
+
type: glue
|
20 |
+
args: cola
|
21 |
+
metrics:
|
22 |
+
- name: Matthews Correlation
|
23 |
+
type: matthews_correlation
|
24 |
+
value: 0.09303560843725145
|
25 |
---
|
26 |
|
27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
29 |
|
30 |
# mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_cola_256
|
31 |
|
32 |
+
This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE COLA dataset.
|
33 |
It achieves the following results on the evaluation set:
|
34 |
+
- Loss: 0.6759
|
35 |
+
- Matthews Correlation: 0.0930
|
36 |
|
37 |
## Model description
|
38 |
|
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"eval_loss": 0.6759397387504578,
|
4 |
+
"eval_matthews_correlation": 0.09303560843725145,
|
5 |
+
"eval_runtime": 1.9096,
|
6 |
+
"eval_samples": 1043,
|
7 |
+
"eval_samples_per_second": 546.19,
|
8 |
+
"eval_steps_per_second": 4.713,
|
9 |
+
"train_loss": 0.5057331540043158,
|
10 |
+
"train_runtime": 5414.9838,
|
11 |
+
"train_samples": 213609,
|
12 |
+
"train_samples_per_second": 1972.388,
|
13 |
+
"train_steps_per_second": 15.411
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"eval_loss": 0.6759397387504578,
|
4 |
+
"eval_matthews_correlation": 0.09303560843725145,
|
5 |
+
"eval_runtime": 1.9096,
|
6 |
+
"eval_samples": 1043,
|
7 |
+
"eval_samples_per_second": 546.19,
|
8 |
+
"eval_steps_per_second": 4.713
|
9 |
+
}
|
logs/events.out.tfevents.1675297811.serv-3331.4063650.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:18ac208659e94f77b38a47fe88ab4ebcd00a44046b42a3b1b68de4c563c0edd9
|
3 |
+
size 375
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"train_loss": 0.5057331540043158,
|
4 |
+
"train_runtime": 5414.9838,
|
5 |
+
"train_samples": 213609,
|
6 |
+
"train_samples_per_second": 1972.388,
|
7 |
+
"train_steps_per_second": 15.411
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,115 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.6759397387504578,
|
3 |
+
"best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_cola_256/checkpoint-1669",
|
4 |
+
"epoch": 6.0,
|
5 |
+
"global_step": 10014,
|
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": 4.9e-05,
|
13 |
+
"loss": 0.6287,
|
14 |
+
"step": 1669
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.0,
|
18 |
+
"eval_loss": 0.6759397387504578,
|
19 |
+
"eval_matthews_correlation": 0.09303560843725145,
|
20 |
+
"eval_runtime": 1.9002,
|
21 |
+
"eval_samples_per_second": 548.888,
|
22 |
+
"eval_steps_per_second": 4.736,
|
23 |
+
"step": 1669
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 2.0,
|
27 |
+
"learning_rate": 4.8e-05,
|
28 |
+
"loss": 0.5492,
|
29 |
+
"step": 3338
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 2.0,
|
33 |
+
"eval_loss": 0.7164148688316345,
|
34 |
+
"eval_matthews_correlation": 0.07190454015023796,
|
35 |
+
"eval_runtime": 1.8926,
|
36 |
+
"eval_samples_per_second": 551.086,
|
37 |
+
"eval_steps_per_second": 4.755,
|
38 |
+
"step": 3338
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 3.0,
|
42 |
+
"learning_rate": 4.7e-05,
|
43 |
+
"loss": 0.5243,
|
44 |
+
"step": 5007
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 3.0,
|
48 |
+
"eval_loss": 0.7166932225227356,
|
49 |
+
"eval_matthews_correlation": 0.09362160966096678,
|
50 |
+
"eval_runtime": 1.8934,
|
51 |
+
"eval_samples_per_second": 550.867,
|
52 |
+
"eval_steps_per_second": 4.753,
|
53 |
+
"step": 5007
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 4.0,
|
57 |
+
"learning_rate": 4.600000000000001e-05,
|
58 |
+
"loss": 0.4881,
|
59 |
+
"step": 6676
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 4.0,
|
63 |
+
"eval_loss": 0.7532314658164978,
|
64 |
+
"eval_matthews_correlation": 0.10273739156178968,
|
65 |
+
"eval_runtime": 1.9251,
|
66 |
+
"eval_samples_per_second": 541.779,
|
67 |
+
"eval_steps_per_second": 4.675,
|
68 |
+
"step": 6676
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 5.0,
|
72 |
+
"learning_rate": 4.5e-05,
|
73 |
+
"loss": 0.4422,
|
74 |
+
"step": 8345
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 5.0,
|
78 |
+
"eval_loss": 0.7825189828872681,
|
79 |
+
"eval_matthews_correlation": 0.13693365735983404,
|
80 |
+
"eval_runtime": 1.8943,
|
81 |
+
"eval_samples_per_second": 550.606,
|
82 |
+
"eval_steps_per_second": 4.751,
|
83 |
+
"step": 8345
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 6.0,
|
87 |
+
"learning_rate": 4.4000000000000006e-05,
|
88 |
+
"loss": 0.4019,
|
89 |
+
"step": 10014
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 6.0,
|
93 |
+
"eval_loss": 0.7828965783119202,
|
94 |
+
"eval_matthews_correlation": 0.12533414798451334,
|
95 |
+
"eval_runtime": 1.891,
|
96 |
+
"eval_samples_per_second": 551.569,
|
97 |
+
"eval_steps_per_second": 4.759,
|
98 |
+
"step": 10014
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 6.0,
|
102 |
+
"step": 10014,
|
103 |
+
"total_flos": 3.3760240390373376e+16,
|
104 |
+
"train_loss": 0.5057331540043158,
|
105 |
+
"train_runtime": 5414.9838,
|
106 |
+
"train_samples_per_second": 1972.388,
|
107 |
+
"train_steps_per_second": 15.411
|
108 |
+
}
|
109 |
+
],
|
110 |
+
"max_steps": 83450,
|
111 |
+
"num_train_epochs": 50,
|
112 |
+
"total_flos": 3.3760240390373376e+16,
|
113 |
+
"trial_name": null,
|
114 |
+
"trial_params": null
|
115 |
+
}
|