gokulsrinivasagan
commited on
Commit
•
29764be
1
Parent(s):
35a21f3
End of training
Browse files- README.md +21 -3
- all_results.json +16 -0
- eval_results.json +10 -0
- logs/events.out.tfevents.1732640019.ki-g0008.2136969.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +170 -0
README.md
CHANGED
@@ -1,14 +1,32 @@
|
|
1 |
---
|
2 |
library_name: transformers
|
|
|
|
|
3 |
base_model: gokulsrinivasagan/bert_base_lda_20_v1
|
4 |
tags:
|
5 |
- generated_from_trainer
|
|
|
|
|
6 |
metrics:
|
7 |
- matthews_correlation
|
8 |
- accuracy
|
9 |
model-index:
|
10 |
- name: bert_base_lda_20_v1_cola
|
11 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
12 |
---
|
13 |
|
14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -16,9 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
# bert_base_lda_20_v1_cola
|
18 |
|
19 |
-
This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1) on
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss: 0.
|
22 |
- Matthews Correlation: 0.0
|
23 |
- Accuracy: 0.6913
|
24 |
|
|
|
1 |
---
|
2 |
library_name: transformers
|
3 |
+
language:
|
4 |
+
- en
|
5 |
base_model: gokulsrinivasagan/bert_base_lda_20_v1
|
6 |
tags:
|
7 |
- generated_from_trainer
|
8 |
+
datasets:
|
9 |
+
- glue
|
10 |
metrics:
|
11 |
- matthews_correlation
|
12 |
- accuracy
|
13 |
model-index:
|
14 |
- name: bert_base_lda_20_v1_cola
|
15 |
+
results:
|
16 |
+
- task:
|
17 |
+
name: Text Classification
|
18 |
+
type: text-classification
|
19 |
+
dataset:
|
20 |
+
name: GLUE COLA
|
21 |
+
type: glue
|
22 |
+
args: cola
|
23 |
+
metrics:
|
24 |
+
- name: Matthews Correlation
|
25 |
+
type: matthews_correlation
|
26 |
+
value: 0.0
|
27 |
+
- name: Accuracy
|
28 |
+
type: accuracy
|
29 |
+
value: 0.6912751793861389
|
30 |
---
|
31 |
|
32 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
34 |
|
35 |
# bert_base_lda_20_v1_cola
|
36 |
|
37 |
+
This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1) on the GLUE COLA dataset.
|
38 |
It achieves the following results on the evaluation set:
|
39 |
+
- Loss: 0.6189
|
40 |
- Matthews Correlation: 0.0
|
41 |
- Accuracy: 0.6913
|
42 |
|
all_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.0,
|
3 |
+
"eval_accuracy": 0.6912751793861389,
|
4 |
+
"eval_loss": 0.6188952922821045,
|
5 |
+
"eval_matthews_correlation": 0.0,
|
6 |
+
"eval_runtime": 0.6561,
|
7 |
+
"eval_samples": 1043,
|
8 |
+
"eval_samples_per_second": 1589.606,
|
9 |
+
"eval_steps_per_second": 7.62,
|
10 |
+
"total_flos": 7874519220341760.0,
|
11 |
+
"train_loss": 0.6316283650758887,
|
12 |
+
"train_runtime": 116.2402,
|
13 |
+
"train_samples": 8551,
|
14 |
+
"train_samples_per_second": 3678.16,
|
15 |
+
"train_steps_per_second": 14.625
|
16 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.0,
|
3 |
+
"eval_accuracy": 0.6912751793861389,
|
4 |
+
"eval_loss": 0.6188952922821045,
|
5 |
+
"eval_matthews_correlation": 0.0,
|
6 |
+
"eval_runtime": 0.6561,
|
7 |
+
"eval_samples": 1043,
|
8 |
+
"eval_samples_per_second": 1589.606,
|
9 |
+
"eval_steps_per_second": 7.62
|
10 |
+
}
|
logs/events.out.tfevents.1732640019.ki-g0008.2136969.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:866440441c706bbc4f920fd5a270518981cfef90f1565c86f78a41b7843d220c
|
3 |
+
size 475
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.0,
|
3 |
+
"total_flos": 7874519220341760.0,
|
4 |
+
"train_loss": 0.6316283650758887,
|
5 |
+
"train_runtime": 116.2402,
|
6 |
+
"train_samples": 8551,
|
7 |
+
"train_samples_per_second": 3678.16,
|
8 |
+
"train_steps_per_second": 14.625
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,170 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.6188952922821045,
|
3 |
+
"best_model_checkpoint": "bert_base_lda_20_v1_cola/checkpoint-68",
|
4 |
+
"epoch": 7.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 238,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.0,
|
13 |
+
"grad_norm": 0.4452758729457855,
|
14 |
+
"learning_rate": 0.00098,
|
15 |
+
"loss": 0.7571,
|
16 |
+
"step": 34
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 1.0,
|
20 |
+
"eval_accuracy": 0.6912751793861389,
|
21 |
+
"eval_loss": 0.6196237802505493,
|
22 |
+
"eval_matthews_correlation": 0.0,
|
23 |
+
"eval_runtime": 0.6803,
|
24 |
+
"eval_samples_per_second": 1533.141,
|
25 |
+
"eval_steps_per_second": 7.35,
|
26 |
+
"step": 34
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 2.0,
|
30 |
+
"grad_norm": 0.9407540559768677,
|
31 |
+
"learning_rate": 0.00096,
|
32 |
+
"loss": 0.613,
|
33 |
+
"step": 68
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 2.0,
|
37 |
+
"eval_accuracy": 0.6912751793861389,
|
38 |
+
"eval_loss": 0.6188952922821045,
|
39 |
+
"eval_matthews_correlation": 0.0,
|
40 |
+
"eval_runtime": 0.6631,
|
41 |
+
"eval_samples_per_second": 1572.981,
|
42 |
+
"eval_steps_per_second": 7.541,
|
43 |
+
"step": 68
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 3.0,
|
47 |
+
"grad_norm": 1.0614078044891357,
|
48 |
+
"learning_rate": 0.00094,
|
49 |
+
"loss": 0.6097,
|
50 |
+
"step": 102
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 3.0,
|
54 |
+
"eval_accuracy": 0.6912751793861389,
|
55 |
+
"eval_loss": 0.6194814443588257,
|
56 |
+
"eval_matthews_correlation": 0.0,
|
57 |
+
"eval_runtime": 0.6519,
|
58 |
+
"eval_samples_per_second": 1599.847,
|
59 |
+
"eval_steps_per_second": 7.669,
|
60 |
+
"step": 102
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 4.0,
|
64 |
+
"grad_norm": 0.6363035440444946,
|
65 |
+
"learning_rate": 0.00092,
|
66 |
+
"loss": 0.6106,
|
67 |
+
"step": 136
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 4.0,
|
71 |
+
"eval_accuracy": 0.6912751793861389,
|
72 |
+
"eval_loss": 0.6196293830871582,
|
73 |
+
"eval_matthews_correlation": 0.0,
|
74 |
+
"eval_runtime": 0.6778,
|
75 |
+
"eval_samples_per_second": 1538.719,
|
76 |
+
"eval_steps_per_second": 7.376,
|
77 |
+
"step": 136
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 5.0,
|
81 |
+
"grad_norm": 0.9160279035568237,
|
82 |
+
"learning_rate": 0.0009000000000000001,
|
83 |
+
"loss": 0.6114,
|
84 |
+
"step": 170
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 5.0,
|
88 |
+
"eval_accuracy": 0.6912751793861389,
|
89 |
+
"eval_loss": 0.6194814443588257,
|
90 |
+
"eval_matthews_correlation": 0.0,
|
91 |
+
"eval_runtime": 0.6776,
|
92 |
+
"eval_samples_per_second": 1539.156,
|
93 |
+
"eval_steps_per_second": 7.379,
|
94 |
+
"step": 170
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 6.0,
|
98 |
+
"grad_norm": 0.48956847190856934,
|
99 |
+
"learning_rate": 0.00088,
|
100 |
+
"loss": 0.6094,
|
101 |
+
"step": 204
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 6.0,
|
105 |
+
"eval_accuracy": 0.6912751793861389,
|
106 |
+
"eval_loss": 0.6189964413642883,
|
107 |
+
"eval_matthews_correlation": 0.0,
|
108 |
+
"eval_runtime": 0.6726,
|
109 |
+
"eval_samples_per_second": 1550.586,
|
110 |
+
"eval_steps_per_second": 7.433,
|
111 |
+
"step": 204
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 7.0,
|
115 |
+
"grad_norm": 1.5084835290908813,
|
116 |
+
"learning_rate": 0.00086,
|
117 |
+
"loss": 0.6102,
|
118 |
+
"step": 238
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 7.0,
|
122 |
+
"eval_accuracy": 0.6912751793861389,
|
123 |
+
"eval_loss": 0.619966447353363,
|
124 |
+
"eval_matthews_correlation": 0.0,
|
125 |
+
"eval_runtime": 0.6632,
|
126 |
+
"eval_samples_per_second": 1572.699,
|
127 |
+
"eval_steps_per_second": 7.539,
|
128 |
+
"step": 238
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 7.0,
|
132 |
+
"step": 238,
|
133 |
+
"total_flos": 7874519220341760.0,
|
134 |
+
"train_loss": 0.6316283650758887,
|
135 |
+
"train_runtime": 116.2402,
|
136 |
+
"train_samples_per_second": 3678.16,
|
137 |
+
"train_steps_per_second": 14.625
|
138 |
+
}
|
139 |
+
],
|
140 |
+
"logging_steps": 1,
|
141 |
+
"max_steps": 1700,
|
142 |
+
"num_input_tokens_seen": 0,
|
143 |
+
"num_train_epochs": 50,
|
144 |
+
"save_steps": 500,
|
145 |
+
"stateful_callbacks": {
|
146 |
+
"EarlyStoppingCallback": {
|
147 |
+
"args": {
|
148 |
+
"early_stopping_patience": 5,
|
149 |
+
"early_stopping_threshold": 0.0
|
150 |
+
},
|
151 |
+
"attributes": {
|
152 |
+
"early_stopping_patience_counter": 5
|
153 |
+
}
|
154 |
+
},
|
155 |
+
"TrainerControl": {
|
156 |
+
"args": {
|
157 |
+
"should_epoch_stop": false,
|
158 |
+
"should_evaluate": false,
|
159 |
+
"should_log": false,
|
160 |
+
"should_save": true,
|
161 |
+
"should_training_stop": true
|
162 |
+
},
|
163 |
+
"attributes": {}
|
164 |
+
}
|
165 |
+
},
|
166 |
+
"total_flos": 7874519220341760.0,
|
167 |
+
"train_batch_size": 256,
|
168 |
+
"trial_name": null,
|
169 |
+
"trial_params": null
|
170 |
+
}
|