End of training
Browse files- README.md +19 -4
- all_results.json +14 -0
- eval_results.json +9 -0
- logs/events.out.tfevents.1677993185.serv-3317.65033.14 +3 -0
- train_results.json +8 -0
- trainer_state.json +115 -0
README.md
CHANGED
@@ -1,11 +1,26 @@
|
|
1 |
---
|
|
|
|
|
2 |
tags:
|
3 |
- generated_from_trainer
|
|
|
|
|
4 |
metrics:
|
5 |
- accuracy
|
6 |
model-index:
|
7 |
- name: hBERTv2_data_aug_rte
|
8 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
9 |
---
|
10 |
|
11 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -13,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
13 |
|
14 |
# hBERTv2_data_aug_rte
|
15 |
|
16 |
-
This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- Loss:
|
19 |
-
- Accuracy: 0.
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- glue
|
8 |
metrics:
|
9 |
- accuracy
|
10 |
model-index:
|
11 |
- name: hBERTv2_data_aug_rte
|
12 |
+
results:
|
13 |
+
- task:
|
14 |
+
name: Text Classification
|
15 |
+
type: text-classification
|
16 |
+
dataset:
|
17 |
+
name: GLUE RTE
|
18 |
+
type: glue
|
19 |
+
args: rte
|
20 |
+
metrics:
|
21 |
+
- name: Accuracy
|
22 |
+
type: accuracy
|
23 |
+
value: 0.49097472924187724
|
24 |
---
|
25 |
|
26 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
28 |
|
29 |
# hBERTv2_data_aug_rte
|
30 |
|
31 |
+
This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on the GLUE RTE dataset.
|
32 |
It achieves the following results on the evaluation set:
|
33 |
+
- Loss: 1.3232
|
34 |
+
- Accuracy: 0.4910
|
35 |
|
36 |
## Model description
|
37 |
|
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"eval_accuracy": 0.49097472924187724,
|
4 |
+
"eval_loss": 1.3231624364852905,
|
5 |
+
"eval_runtime": 0.3384,
|
6 |
+
"eval_samples": 277,
|
7 |
+
"eval_samples_per_second": 818.504,
|
8 |
+
"eval_steps_per_second": 5.91,
|
9 |
+
"train_loss": 0.1268328929171316,
|
10 |
+
"train_runtime": 3113.9793,
|
11 |
+
"train_samples": 145398,
|
12 |
+
"train_samples_per_second": 2334.601,
|
13 |
+
"train_steps_per_second": 9.12
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"eval_accuracy": 0.49097472924187724,
|
4 |
+
"eval_loss": 1.3231624364852905,
|
5 |
+
"eval_runtime": 0.3384,
|
6 |
+
"eval_samples": 277,
|
7 |
+
"eval_samples_per_second": 818.504,
|
8 |
+
"eval_steps_per_second": 5.91
|
9 |
+
}
|
logs/events.out.tfevents.1677993185.serv-3317.65033.14
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2fd206e0f3049f1e4866705ab93f015b0f3f307bdd6bce1da6fd411a48c55cb9
|
3 |
+
size 363
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"train_loss": 0.1268328929171316,
|
4 |
+
"train_runtime": 3113.9793,
|
5 |
+
"train_samples": 145398,
|
6 |
+
"train_samples_per_second": 2334.601,
|
7 |
+
"train_steps_per_second": 9.12
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,115 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.3231624364852905,
|
3 |
+
"best_model_checkpoint": "hBERTv2_data_aug_rte/checkpoint-568",
|
4 |
+
"epoch": 6.0,
|
5 |
+
"global_step": 3408,
|
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": 4.900704225352113e-05,
|
13 |
+
"loss": 0.6262,
|
14 |
+
"step": 568
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.0,
|
18 |
+
"eval_accuracy": 0.49097472924187724,
|
19 |
+
"eval_loss": 1.3231624364852905,
|
20 |
+
"eval_runtime": 0.3367,
|
21 |
+
"eval_samples_per_second": 822.619,
|
22 |
+
"eval_steps_per_second": 5.939,
|
23 |
+
"step": 568
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 2.0,
|
27 |
+
"learning_rate": 4.8007042253521126e-05,
|
28 |
+
"loss": 0.0855,
|
29 |
+
"step": 1136
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 2.0,
|
33 |
+
"eval_accuracy": 0.49458483754512633,
|
34 |
+
"eval_loss": 2.34574818611145,
|
35 |
+
"eval_runtime": 0.3344,
|
36 |
+
"eval_samples_per_second": 828.433,
|
37 |
+
"eval_steps_per_second": 5.981,
|
38 |
+
"step": 1136
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 3.0,
|
42 |
+
"learning_rate": 4.700704225352113e-05,
|
43 |
+
"loss": 0.022,
|
44 |
+
"step": 1704
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 3.0,
|
48 |
+
"eval_accuracy": 0.5018050541516246,
|
49 |
+
"eval_loss": 2.9796979427337646,
|
50 |
+
"eval_runtime": 0.3341,
|
51 |
+
"eval_samples_per_second": 829.097,
|
52 |
+
"eval_steps_per_second": 5.986,
|
53 |
+
"step": 1704
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 4.0,
|
57 |
+
"learning_rate": 4.6007042253521125e-05,
|
58 |
+
"loss": 0.0128,
|
59 |
+
"step": 2272
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 4.0,
|
63 |
+
"eval_accuracy": 0.5270758122743683,
|
64 |
+
"eval_loss": 2.639472246170044,
|
65 |
+
"eval_runtime": 0.3358,
|
66 |
+
"eval_samples_per_second": 824.985,
|
67 |
+
"eval_steps_per_second": 5.957,
|
68 |
+
"step": 2272
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 5.0,
|
72 |
+
"learning_rate": 4.500704225352113e-05,
|
73 |
+
"loss": 0.0085,
|
74 |
+
"step": 2840
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 5.0,
|
78 |
+
"eval_accuracy": 0.5379061371841155,
|
79 |
+
"eval_loss": 3.163405418395996,
|
80 |
+
"eval_runtime": 0.3351,
|
81 |
+
"eval_samples_per_second": 826.541,
|
82 |
+
"eval_steps_per_second": 5.968,
|
83 |
+
"step": 2840
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 6.0,
|
87 |
+
"learning_rate": 4.400704225352113e-05,
|
88 |
+
"loss": 0.0059,
|
89 |
+
"step": 3408
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 6.0,
|
93 |
+
"eval_accuracy": 0.51985559566787,
|
94 |
+
"eval_loss": 3.5948262214660645,
|
95 |
+
"eval_runtime": 0.3496,
|
96 |
+
"eval_samples_per_second": 792.375,
|
97 |
+
"eval_steps_per_second": 5.721,
|
98 |
+
"step": 3408
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 6.0,
|
102 |
+
"step": 3408,
|
103 |
+
"total_flos": 1.086589187873833e+17,
|
104 |
+
"train_loss": 0.1268328929171316,
|
105 |
+
"train_runtime": 3113.9793,
|
106 |
+
"train_samples_per_second": 2334.601,
|
107 |
+
"train_steps_per_second": 9.12
|
108 |
+
}
|
109 |
+
],
|
110 |
+
"max_steps": 28400,
|
111 |
+
"num_train_epochs": 50,
|
112 |
+
"total_flos": 1.086589187873833e+17,
|
113 |
+
"trial_name": null,
|
114 |
+
"trial_params": null
|
115 |
+
}
|