End of training
Browse files- README.md +18 -3
- all_results.json +14 -0
- eval_results.json +9 -0
- logs/events.out.tfevents.1677667319.serv-9222.2482323.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +130 -0
README.md
CHANGED
@@ -1,11 +1,26 @@
|
|
1 |
---
|
|
|
|
|
2 |
tags:
|
3 |
- generated_from_trainer
|
|
|
|
|
4 |
metrics:
|
5 |
- matthews_correlation
|
6 |
model-index:
|
7 |
- name: hBERTv1_data_aug_cola
|
8 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
9 |
---
|
10 |
|
11 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -13,9 +28,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
13 |
|
14 |
# hBERTv1_data_aug_cola
|
15 |
|
16 |
-
This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1](https://huggingface.co/gokuls/bert_12_layer_model_v1) on
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- Loss: 0.
|
19 |
- Matthews Correlation: 0.0
|
20 |
|
21 |
## Model description
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- glue
|
8 |
metrics:
|
9 |
- matthews_correlation
|
10 |
model-index:
|
11 |
- name: hBERTv1_data_aug_cola
|
12 |
+
results:
|
13 |
+
- task:
|
14 |
+
name: Text Classification
|
15 |
+
type: text-classification
|
16 |
+
dataset:
|
17 |
+
name: GLUE COLA
|
18 |
+
type: glue
|
19 |
+
args: cola
|
20 |
+
metrics:
|
21 |
+
- name: Matthews Correlation
|
22 |
+
type: matthews_correlation
|
23 |
+
value: 0.0
|
24 |
---
|
25 |
|
26 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
28 |
|
29 |
# hBERTv1_data_aug_cola
|
30 |
|
31 |
+
This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1](https://huggingface.co/gokuls/bert_12_layer_model_v1) on the GLUE COLA dataset.
|
32 |
It achieves the following results on the evaluation set:
|
33 |
+
- Loss: 0.6183
|
34 |
- Matthews Correlation: 0.0
|
35 |
|
36 |
## Model description
|
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.0,
|
3 |
+
"eval_loss": 0.618320643901825,
|
4 |
+
"eval_matthews_correlation": 0.0,
|
5 |
+
"eval_runtime": 1.408,
|
6 |
+
"eval_samples": 1043,
|
7 |
+
"eval_samples_per_second": 740.793,
|
8 |
+
"eval_steps_per_second": 3.551,
|
9 |
+
"train_loss": 0.6066560117070546,
|
10 |
+
"train_runtime": 5653.074,
|
11 |
+
"train_samples": 213609,
|
12 |
+
"train_samples_per_second": 1889.317,
|
13 |
+
"train_steps_per_second": 7.385
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.0,
|
3 |
+
"eval_loss": 0.618320643901825,
|
4 |
+
"eval_matthews_correlation": 0.0,
|
5 |
+
"eval_runtime": 1.408,
|
6 |
+
"eval_samples": 1043,
|
7 |
+
"eval_samples_per_second": 740.793,
|
8 |
+
"eval_steps_per_second": 3.551
|
9 |
+
}
|
logs/events.out.tfevents.1677667319.serv-9222.2482323.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:461568258dd5639522e8c2224c259d6b6aef51f03e638e1745806a251bbb7765
|
3 |
+
size 375
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.0,
|
3 |
+
"train_loss": 0.6066560117070546,
|
4 |
+
"train_runtime": 5653.074,
|
5 |
+
"train_samples": 213609,
|
6 |
+
"train_samples_per_second": 1889.317,
|
7 |
+
"train_steps_per_second": 7.385
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,130 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.618320643901825,
|
3 |
+
"best_model_checkpoint": "hBERTv1_data_aug_cola/checkpoint-1670",
|
4 |
+
"epoch": 7.0,
|
5 |
+
"global_step": 5845,
|
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": 0.6084,
|
14 |
+
"step": 835
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.0,
|
18 |
+
"eval_loss": 0.6251746416091919,
|
19 |
+
"eval_matthews_correlation": 0.0,
|
20 |
+
"eval_runtime": 1.4137,
|
21 |
+
"eval_samples_per_second": 737.758,
|
22 |
+
"eval_steps_per_second": 3.537,
|
23 |
+
"step": 835
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 2.0,
|
27 |
+
"learning_rate": 4.8e-05,
|
28 |
+
"loss": 0.6066,
|
29 |
+
"step": 1670
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 2.0,
|
33 |
+
"eval_loss": 0.618320643901825,
|
34 |
+
"eval_matthews_correlation": 0.0,
|
35 |
+
"eval_runtime": 1.4125,
|
36 |
+
"eval_samples_per_second": 738.423,
|
37 |
+
"eval_steps_per_second": 3.54,
|
38 |
+
"step": 1670
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 3.0,
|
42 |
+
"learning_rate": 4.7e-05,
|
43 |
+
"loss": 0.6065,
|
44 |
+
"step": 2505
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 3.0,
|
48 |
+
"eval_loss": 0.6184751391410828,
|
49 |
+
"eval_matthews_correlation": 0.0,
|
50 |
+
"eval_runtime": 1.4126,
|
51 |
+
"eval_samples_per_second": 738.355,
|
52 |
+
"eval_steps_per_second": 3.54,
|
53 |
+
"step": 2505
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 4.0,
|
57 |
+
"learning_rate": 4.600000000000001e-05,
|
58 |
+
"loss": 0.6062,
|
59 |
+
"step": 3340
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 4.0,
|
63 |
+
"eval_loss": 0.6219027042388916,
|
64 |
+
"eval_matthews_correlation": 0.0,
|
65 |
+
"eval_runtime": 1.414,
|
66 |
+
"eval_samples_per_second": 737.6,
|
67 |
+
"eval_steps_per_second": 3.536,
|
68 |
+
"step": 3340
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 5.0,
|
72 |
+
"learning_rate": 4.5e-05,
|
73 |
+
"loss": 0.6061,
|
74 |
+
"step": 4175
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 5.0,
|
78 |
+
"eval_loss": 0.6204879879951477,
|
79 |
+
"eval_matthews_correlation": 0.0,
|
80 |
+
"eval_runtime": 1.4116,
|
81 |
+
"eval_samples_per_second": 738.88,
|
82 |
+
"eval_steps_per_second": 3.542,
|
83 |
+
"step": 4175
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 6.0,
|
87 |
+
"learning_rate": 4.400119760479042e-05,
|
88 |
+
"loss": 0.6066,
|
89 |
+
"step": 5010
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 6.0,
|
93 |
+
"eval_loss": 0.6183536648750305,
|
94 |
+
"eval_matthews_correlation": 0.0,
|
95 |
+
"eval_runtime": 1.4244,
|
96 |
+
"eval_samples_per_second": 732.218,
|
97 |
+
"eval_steps_per_second": 3.51,
|
98 |
+
"step": 5010
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 7.0,
|
102 |
+
"learning_rate": 4.3001197604790424e-05,
|
103 |
+
"loss": 0.6061,
|
104 |
+
"step": 5845
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 7.0,
|
108 |
+
"eval_loss": 0.6187195181846619,
|
109 |
+
"eval_matthews_correlation": 0.0,
|
110 |
+
"eval_runtime": 1.4085,
|
111 |
+
"eval_samples_per_second": 740.513,
|
112 |
+
"eval_steps_per_second": 3.55,
|
113 |
+
"step": 5845
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 7.0,
|
117 |
+
"step": 5845,
|
118 |
+
"total_flos": 1.8886821472423117e+17,
|
119 |
+
"train_loss": 0.6066560117070546,
|
120 |
+
"train_runtime": 5653.074,
|
121 |
+
"train_samples_per_second": 1889.317,
|
122 |
+
"train_steps_per_second": 7.385
|
123 |
+
}
|
124 |
+
],
|
125 |
+
"max_steps": 41750,
|
126 |
+
"num_train_epochs": 50,
|
127 |
+
"total_flos": 1.8886821472423117e+17,
|
128 |
+
"trial_name": null,
|
129 |
+
"trial_params": null
|
130 |
+
}
|