End of training
Browse files- README.md +5 -3
- all_results.json +8 -8
- eval_results.json +4 -4
- logs/events.out.tfevents.1686775817.serv-9219.1715196.11 +3 -0
- train_results.json +4 -4
- trainer_state.json +44 -44
README.md
CHANGED
@@ -1,4 +1,6 @@
|
|
1 |
---
|
|
|
|
|
2 |
tags:
|
3 |
- generated_from_trainer
|
4 |
datasets:
|
@@ -12,7 +14,7 @@ model-index:
|
|
12 |
name: Text Classification
|
13 |
type: text-classification
|
14 |
dataset:
|
15 |
-
name:
|
16 |
type: glue
|
17 |
config: sst2
|
18 |
split: validation
|
@@ -28,9 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
28 |
|
29 |
# add_BERT_no_pretrain_sst2
|
30 |
|
31 |
-
This model is a fine-tuned version of [](https://huggingface.co/) on the
|
32 |
It achieves the following results on the evaluation set:
|
33 |
-
- Loss: 0.
|
34 |
- Accuracy: 0.5092
|
35 |
|
36 |
## Model description
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
|
|
14 |
name: Text Classification
|
15 |
type: text-classification
|
16 |
dataset:
|
17 |
+
name: GLUE SST2
|
18 |
type: glue
|
19 |
config: sst2
|
20 |
split: validation
|
|
|
30 |
|
31 |
# add_BERT_no_pretrain_sst2
|
32 |
|
33 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on the GLUE SST2 dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 0.6936
|
36 |
- Accuracy: 0.5092
|
37 |
|
38 |
## Model description
|
all_results.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
"epoch": 6.0,
|
3 |
"eval_accuracy": 0.5091743119266054,
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 1.
|
6 |
"eval_samples": 872,
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"eval_steps_per_second":
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
"train_samples": 67349,
|
12 |
-
"train_samples_per_second":
|
13 |
-
"train_steps_per_second":
|
14 |
}
|
|
|
1 |
{
|
2 |
"epoch": 6.0,
|
3 |
"eval_accuracy": 0.5091743119266054,
|
4 |
+
"eval_loss": 0.6935691237449646,
|
5 |
+
"eval_runtime": 1.6342,
|
6 |
"eval_samples": 872,
|
7 |
+
"eval_samples_per_second": 533.578,
|
8 |
+
"eval_steps_per_second": 4.283,
|
9 |
+
"train_loss": 0.6896291946324271,
|
10 |
+
"train_runtime": 2408.1345,
|
11 |
"train_samples": 67349,
|
12 |
+
"train_samples_per_second": 1398.365,
|
13 |
+
"train_steps_per_second": 10.942
|
14 |
}
|
eval_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 6.0,
|
3 |
"eval_accuracy": 0.5091743119266054,
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 1.
|
6 |
"eval_samples": 872,
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"eval_steps_per_second":
|
9 |
}
|
|
|
1 |
{
|
2 |
"epoch": 6.0,
|
3 |
"eval_accuracy": 0.5091743119266054,
|
4 |
+
"eval_loss": 0.6935691237449646,
|
5 |
+
"eval_runtime": 1.6342,
|
6 |
"eval_samples": 872,
|
7 |
+
"eval_samples_per_second": 533.578,
|
8 |
+
"eval_steps_per_second": 4.283
|
9 |
}
|
logs/events.out.tfevents.1686775817.serv-9219.1715196.11
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9a971aa113d8472d020e6c941559f2116a1c6116583dbedbb69fc71c2744e2b8
|
3 |
+
size 363
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 6.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 67349,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 6.0,
|
3 |
+
"train_loss": 0.6896291946324271,
|
4 |
+
"train_runtime": 2408.1345,
|
5 |
"train_samples": 67349,
|
6 |
+
"train_samples_per_second": 1398.365,
|
7 |
+
"train_steps_per_second": 10.942
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
"best_model_checkpoint": "add_BERT_no_pretrain_sst2/checkpoint-527",
|
4 |
"epoch": 6.0,
|
5 |
"global_step": 3162,
|
@@ -9,102 +9,102 @@
|
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 1.0,
|
12 |
-
"learning_rate":
|
13 |
-
"loss": 0.
|
14 |
"step": 527
|
15 |
},
|
16 |
{
|
17 |
"epoch": 1.0,
|
18 |
"eval_accuracy": 0.5091743119266054,
|
19 |
-
"eval_loss": 0.
|
20 |
-
"eval_runtime": 1.
|
21 |
-
"eval_samples_per_second":
|
22 |
-
"eval_steps_per_second":
|
23 |
"step": 527
|
24 |
},
|
25 |
{
|
26 |
"epoch": 2.0,
|
27 |
-
"learning_rate":
|
28 |
-
"loss": 0.
|
29 |
"step": 1054
|
30 |
},
|
31 |
{
|
32 |
"epoch": 2.0,
|
33 |
"eval_accuracy": 0.5091743119266054,
|
34 |
-
"eval_loss": 0.
|
35 |
-
"eval_runtime": 1.
|
36 |
-
"eval_samples_per_second":
|
37 |
-
"eval_steps_per_second":
|
38 |
"step": 1054
|
39 |
},
|
40 |
{
|
41 |
"epoch": 3.0,
|
42 |
-
"learning_rate":
|
43 |
-
"loss": 0.
|
44 |
"step": 1581
|
45 |
},
|
46 |
{
|
47 |
"epoch": 3.0,
|
48 |
"eval_accuracy": 0.5091743119266054,
|
49 |
-
"eval_loss": 0.
|
50 |
-
"eval_runtime": 1.
|
51 |
-
"eval_samples_per_second":
|
52 |
-
"eval_steps_per_second":
|
53 |
"step": 1581
|
54 |
},
|
55 |
{
|
56 |
"epoch": 4.0,
|
57 |
-
"learning_rate":
|
58 |
-
"loss": 0.
|
59 |
"step": 2108
|
60 |
},
|
61 |
{
|
62 |
"epoch": 4.0,
|
63 |
-
"eval_accuracy": 0.
|
64 |
-
"eval_loss":
|
65 |
-
"eval_runtime": 1.
|
66 |
-
"eval_samples_per_second":
|
67 |
-
"eval_steps_per_second":
|
68 |
"step": 2108
|
69 |
},
|
70 |
{
|
71 |
"epoch": 5.0,
|
72 |
-
"learning_rate":
|
73 |
-
"loss": 0.
|
74 |
"step": 2635
|
75 |
},
|
76 |
{
|
77 |
"epoch": 5.0,
|
78 |
-
"eval_accuracy": 0.
|
79 |
-
"eval_loss":
|
80 |
-
"eval_runtime": 1.
|
81 |
-
"eval_samples_per_second":
|
82 |
-
"eval_steps_per_second":
|
83 |
"step": 2635
|
84 |
},
|
85 |
{
|
86 |
"epoch": 6.0,
|
87 |
-
"learning_rate":
|
88 |
-
"loss": 0.
|
89 |
"step": 3162
|
90 |
},
|
91 |
{
|
92 |
"epoch": 6.0,
|
93 |
-
"eval_accuracy": 0.
|
94 |
-
"eval_loss":
|
95 |
-
"eval_runtime": 1.
|
96 |
-
"eval_samples_per_second":
|
97 |
-
"eval_steps_per_second":
|
98 |
"step": 3162
|
99 |
},
|
100 |
{
|
101 |
"epoch": 6.0,
|
102 |
"step": 3162,
|
103 |
"total_flos": 5.771431023476736e+16,
|
104 |
-
"train_loss": 0.
|
105 |
-
"train_runtime":
|
106 |
-
"train_samples_per_second":
|
107 |
-
"train_steps_per_second":
|
108 |
}
|
109 |
],
|
110 |
"max_steps": 26350,
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.6935691237449646,
|
3 |
"best_model_checkpoint": "add_BERT_no_pretrain_sst2/checkpoint-527",
|
4 |
"epoch": 6.0,
|
5 |
"global_step": 3162,
|
|
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 1.0,
|
12 |
+
"learning_rate": 3.9200000000000004e-05,
|
13 |
+
"loss": 0.6983,
|
14 |
"step": 527
|
15 |
},
|
16 |
{
|
17 |
"epoch": 1.0,
|
18 |
"eval_accuracy": 0.5091743119266054,
|
19 |
+
"eval_loss": 0.6935691237449646,
|
20 |
+
"eval_runtime": 1.6343,
|
21 |
+
"eval_samples_per_second": 533.567,
|
22 |
+
"eval_steps_per_second": 4.283,
|
23 |
"step": 527
|
24 |
},
|
25 |
{
|
26 |
"epoch": 2.0,
|
27 |
+
"learning_rate": 3.8400000000000005e-05,
|
28 |
+
"loss": 0.6895,
|
29 |
"step": 1054
|
30 |
},
|
31 |
{
|
32 |
"epoch": 2.0,
|
33 |
"eval_accuracy": 0.5091743119266054,
|
34 |
+
"eval_loss": 0.7089212536811829,
|
35 |
+
"eval_runtime": 1.6328,
|
36 |
+
"eval_samples_per_second": 534.054,
|
37 |
+
"eval_steps_per_second": 4.287,
|
38 |
"step": 1054
|
39 |
},
|
40 |
{
|
41 |
"epoch": 3.0,
|
42 |
+
"learning_rate": 3.76e-05,
|
43 |
+
"loss": 0.6881,
|
44 |
"step": 1581
|
45 |
},
|
46 |
{
|
47 |
"epoch": 3.0,
|
48 |
"eval_accuracy": 0.5091743119266054,
|
49 |
+
"eval_loss": 0.6993499994277954,
|
50 |
+
"eval_runtime": 1.6457,
|
51 |
+
"eval_samples_per_second": 529.872,
|
52 |
+
"eval_steps_per_second": 4.254,
|
53 |
"step": 1581
|
54 |
},
|
55 |
{
|
56 |
"epoch": 4.0,
|
57 |
+
"learning_rate": 3.680000000000001e-05,
|
58 |
+
"loss": 0.6875,
|
59 |
"step": 2108
|
60 |
},
|
61 |
{
|
62 |
"epoch": 4.0,
|
63 |
+
"eval_accuracy": 0.5091743119266054,
|
64 |
+
"eval_loss": 0.6993725299835205,
|
65 |
+
"eval_runtime": 1.6446,
|
66 |
+
"eval_samples_per_second": 530.225,
|
67 |
+
"eval_steps_per_second": 4.256,
|
68 |
"step": 2108
|
69 |
},
|
70 |
{
|
71 |
"epoch": 5.0,
|
72 |
+
"learning_rate": 3.6e-05,
|
73 |
+
"loss": 0.6874,
|
74 |
"step": 2635
|
75 |
},
|
76 |
{
|
77 |
"epoch": 5.0,
|
78 |
+
"eval_accuracy": 0.5091743119266054,
|
79 |
+
"eval_loss": 0.694109320640564,
|
80 |
+
"eval_runtime": 1.638,
|
81 |
+
"eval_samples_per_second": 532.346,
|
82 |
+
"eval_steps_per_second": 4.273,
|
83 |
"step": 2635
|
84 |
},
|
85 |
{
|
86 |
"epoch": 6.0,
|
87 |
+
"learning_rate": 3.52e-05,
|
88 |
+
"loss": 0.687,
|
89 |
"step": 3162
|
90 |
},
|
91 |
{
|
92 |
"epoch": 6.0,
|
93 |
+
"eval_accuracy": 0.5091743119266054,
|
94 |
+
"eval_loss": 0.7002017498016357,
|
95 |
+
"eval_runtime": 1.6315,
|
96 |
+
"eval_samples_per_second": 534.473,
|
97 |
+
"eval_steps_per_second": 4.29,
|
98 |
"step": 3162
|
99 |
},
|
100 |
{
|
101 |
"epoch": 6.0,
|
102 |
"step": 3162,
|
103 |
"total_flos": 5.771431023476736e+16,
|
104 |
+
"train_loss": 0.6896291946324271,
|
105 |
+
"train_runtime": 2408.1345,
|
106 |
+
"train_samples_per_second": 1398.365,
|
107 |
+
"train_steps_per_second": 10.942
|
108 |
}
|
109 |
],
|
110 |
"max_steps": 26350,
|