End of training
Browse files- README.md +7 -5
- all_results.json +14 -0
- eval_results.json +9 -0
- logs/events.out.tfevents.1674651066.garda.1933772.17 +3 -0
- train_results.json +8 -0
- trainer_state.json +115 -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: sst2
|
19 |
split: validation
|
@@ -21,7 +23,7 @@ model-index:
|
|
21 |
metrics:
|
22 |
- name: Accuracy
|
23 |
type: accuracy
|
24 |
-
value: 0.
|
25 |
---
|
26 |
|
27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -29,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
29 |
|
30 |
# mobilebert_sa_GLUE_Experiment_sst2
|
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: 0.
|
35 |
-
- Accuracy: 0.
|
36 |
|
37 |
## Model description
|
38 |
|
|
|
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 SST2
|
19 |
type: glue
|
20 |
config: sst2
|
21 |
split: validation
|
|
|
23 |
metrics:
|
24 |
- name: Accuracy
|
25 |
type: accuracy
|
26 |
+
value: 0.8027522935779816
|
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_sst2
|
33 |
|
34 |
+
This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE SST2 dataset.
|
35 |
It achieves the following results on the evaluation set:
|
36 |
+
- Loss: 0.4157
|
37 |
+
- Accuracy: 0.8028
|
38 |
|
39 |
## Model description
|
40 |
|
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"eval_accuracy": 0.8027522935779816,
|
4 |
+
"eval_loss": 0.41574952006340027,
|
5 |
+
"eval_runtime": 1.4268,
|
6 |
+
"eval_samples": 872,
|
7 |
+
"eval_samples_per_second": 611.143,
|
8 |
+
"eval_steps_per_second": 4.906,
|
9 |
+
"train_loss": 0.2574223995510345,
|
10 |
+
"train_runtime": 2226.6844,
|
11 |
+
"train_samples": 67349,
|
12 |
+
"train_samples_per_second": 1512.316,
|
13 |
+
"train_steps_per_second": 11.834
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"eval_accuracy": 0.8027522935779816,
|
4 |
+
"eval_loss": 0.41574952006340027,
|
5 |
+
"eval_runtime": 1.4268,
|
6 |
+
"eval_samples": 872,
|
7 |
+
"eval_samples_per_second": 611.143,
|
8 |
+
"eval_steps_per_second": 4.906
|
9 |
+
}
|
logs/events.out.tfevents.1674651066.garda.1933772.17
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2ea44c747f57eb21e206e2da6615f33fe24e968508cd4dd37d8f417d6ced2409
|
3 |
+
size 363
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"train_loss": 0.2574223995510345,
|
4 |
+
"train_runtime": 2226.6844,
|
5 |
+
"train_samples": 67349,
|
6 |
+
"train_samples_per_second": 1512.316,
|
7 |
+
"train_steps_per_second": 11.834
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,115 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.41574952006340027,
|
3 |
+
"best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_sst2/checkpoint-527",
|
4 |
+
"epoch": 6.0,
|
5 |
+
"global_step": 3162,
|
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": 4.9003795066413664e-05,
|
13 |
+
"loss": 0.487,
|
14 |
+
"step": 527
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.0,
|
18 |
+
"eval_accuracy": 0.8027522935779816,
|
19 |
+
"eval_loss": 0.41574952006340027,
|
20 |
+
"eval_runtime": 1.4703,
|
21 |
+
"eval_samples_per_second": 593.065,
|
22 |
+
"eval_steps_per_second": 4.761,
|
23 |
+
"step": 527
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 2.0,
|
27 |
+
"learning_rate": 4.800379506641367e-05,
|
28 |
+
"loss": 0.2824,
|
29 |
+
"step": 1054
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 2.0,
|
33 |
+
"eval_accuracy": 0.8004587155963303,
|
34 |
+
"eval_loss": 0.43506258726119995,
|
35 |
+
"eval_runtime": 1.416,
|
36 |
+
"eval_samples_per_second": 615.81,
|
37 |
+
"eval_steps_per_second": 4.943,
|
38 |
+
"step": 1054
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 3.0,
|
42 |
+
"learning_rate": 4.700379506641366e-05,
|
43 |
+
"loss": 0.2265,
|
44 |
+
"step": 1581
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 3.0,
|
48 |
+
"eval_accuracy": 0.8096330275229358,
|
49 |
+
"eval_loss": 0.4486955404281616,
|
50 |
+
"eval_runtime": 1.4216,
|
51 |
+
"eval_samples_per_second": 613.408,
|
52 |
+
"eval_steps_per_second": 4.924,
|
53 |
+
"step": 1581
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 4.0,
|
57 |
+
"learning_rate": 4.6003795066413666e-05,
|
58 |
+
"loss": 0.1989,
|
59 |
+
"step": 2108
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 4.0,
|
63 |
+
"eval_accuracy": 0.7993119266055045,
|
64 |
+
"eval_loss": 0.5181797742843628,
|
65 |
+
"eval_runtime": 1.4169,
|
66 |
+
"eval_samples_per_second": 615.418,
|
67 |
+
"eval_steps_per_second": 4.94,
|
68 |
+
"step": 2108
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 5.0,
|
72 |
+
"learning_rate": 4.50056925996205e-05,
|
73 |
+
"loss": 0.1813,
|
74 |
+
"step": 2635
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 5.0,
|
78 |
+
"eval_accuracy": 0.7981651376146789,
|
79 |
+
"eval_loss": 0.46536529064178467,
|
80 |
+
"eval_runtime": 1.4169,
|
81 |
+
"eval_samples_per_second": 615.449,
|
82 |
+
"eval_steps_per_second": 4.941,
|
83 |
+
"step": 2635
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 6.0,
|
87 |
+
"learning_rate": 4.4005692599620494e-05,
|
88 |
+
"loss": 0.1684,
|
89 |
+
"step": 3162
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 6.0,
|
93 |
+
"eval_accuracy": 0.7924311926605505,
|
94 |
+
"eval_loss": 0.5339637398719788,
|
95 |
+
"eval_runtime": 1.4148,
|
96 |
+
"eval_samples_per_second": 616.334,
|
97 |
+
"eval_steps_per_second": 4.948,
|
98 |
+
"step": 3162
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 6.0,
|
102 |
+
"step": 3162,
|
103 |
+
"total_flos": 1.2670068697595904e+16,
|
104 |
+
"train_loss": 0.2574223995510345,
|
105 |
+
"train_runtime": 2226.6844,
|
106 |
+
"train_samples_per_second": 1512.316,
|
107 |
+
"train_steps_per_second": 11.834
|
108 |
+
}
|
109 |
+
],
|
110 |
+
"max_steps": 26350,
|
111 |
+
"num_train_epochs": 50,
|
112 |
+
"total_flos": 1.2670068697595904e+16,
|
113 |
+
"trial_name": null,
|
114 |
+
"trial_params": null
|
115 |
+
}
|