gokulsrinivasagan
commited on
Commit
•
aa076d3
1
Parent(s):
fe3bab1
End of training
Browse files- README.md +18 -3
- all_results.json +11 -11
- eval_results.json +6 -6
- logs/events.out.tfevents.1733313829.ki-g0008.1206098.11 +3 -0
- train_results.json +6 -6
- trainer_state.json +60 -76
README.md
CHANGED
@@ -1,13 +1,28 @@
|
|
1 |
---
|
2 |
library_name: transformers
|
|
|
|
|
3 |
base_model: gokulsrinivasagan/distilbert_lda_5_v1
|
4 |
tags:
|
5 |
- generated_from_trainer
|
|
|
|
|
6 |
metrics:
|
7 |
- accuracy
|
8 |
model-index:
|
9 |
- name: distilbert_lda_5_v1_sst2
|
10 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
11 |
---
|
12 |
|
13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -15,9 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# distilbert_lda_5_v1_sst2
|
17 |
|
18 |
-
This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_5_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_5_v1) on
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
- Accuracy: 0.8463
|
22 |
|
23 |
## Model description
|
|
|
1 |
---
|
2 |
library_name: transformers
|
3 |
+
language:
|
4 |
+
- en
|
5 |
base_model: gokulsrinivasagan/distilbert_lda_5_v1
|
6 |
tags:
|
7 |
- generated_from_trainer
|
8 |
+
datasets:
|
9 |
+
- glue
|
10 |
metrics:
|
11 |
- accuracy
|
12 |
model-index:
|
13 |
- name: distilbert_lda_5_v1_sst2
|
14 |
+
results:
|
15 |
+
- task:
|
16 |
+
name: Text Classification
|
17 |
+
type: text-classification
|
18 |
+
dataset:
|
19 |
+
name: GLUE SST2
|
20 |
+
type: glue
|
21 |
+
args: sst2
|
22 |
+
metrics:
|
23 |
+
- name: Accuracy
|
24 |
+
type: accuracy
|
25 |
+
value: 0.8463302752293578
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
30 |
|
31 |
# distilbert_lda_5_v1_sst2
|
32 |
|
33 |
+
This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_5_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_5_v1) on the GLUE SST2 dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 0.3518
|
36 |
- Accuracy: 0.8463
|
37 |
|
38 |
## Model description
|
all_results.json
CHANGED
@@ -1,15 +1,15 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 0.
|
6 |
"eval_samples": 872,
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"eval_steps_per_second": 10.
|
9 |
-
"total_flos":
|
10 |
-
"train_loss": 0.
|
11 |
-
"train_runtime":
|
12 |
"train_samples": 67349,
|
13 |
-
"train_samples_per_second":
|
14 |
-
"train_steps_per_second":
|
15 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"eval_accuracy": 0.8463302752293578,
|
4 |
+
"eval_loss": 0.35176724195480347,
|
5 |
+
"eval_runtime": 0.379,
|
6 |
"eval_samples": 872,
|
7 |
+
"eval_samples_per_second": 2300.934,
|
8 |
+
"eval_steps_per_second": 10.555,
|
9 |
+
"total_flos": 2.676464049624883e+16,
|
10 |
+
"train_loss": 0.14276121361087066,
|
11 |
+
"train_runtime": 385.3319,
|
12 |
"train_samples": 67349,
|
13 |
+
"train_samples_per_second": 8739.09,
|
14 |
+
"train_steps_per_second": 34.256
|
15 |
}
|
eval_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 0.
|
6 |
"eval_samples": 872,
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"eval_steps_per_second": 10.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"eval_accuracy": 0.8463302752293578,
|
4 |
+
"eval_loss": 0.35176724195480347,
|
5 |
+
"eval_runtime": 0.379,
|
6 |
"eval_samples": 872,
|
7 |
+
"eval_samples_per_second": 2300.934,
|
8 |
+
"eval_steps_per_second": 10.555
|
9 |
}
|
logs/events.out.tfevents.1733313829.ki-g0008.1206098.11
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5728cbafacb9cb6b1dc1f4528c6f13201bb23445348951fe88032648e10a71d9
|
3 |
+
size 411
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 67349,
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second":
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 6.0,
|
3 |
+
"total_flos": 2.676464049624883e+16,
|
4 |
+
"train_loss": 0.14276121361087066,
|
5 |
+
"train_runtime": 385.3319,
|
6 |
"train_samples": 67349,
|
7 |
+
"train_samples_per_second": 8739.09,
|
8 |
+
"train_steps_per_second": 34.256
|
9 |
}
|
trainer_state.json
CHANGED
@@ -1,133 +1,117 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "distilbert_lda_5_v1_sst2/checkpoint-
|
4 |
-
"epoch":
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
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":
|
14 |
-
"learning_rate":
|
15 |
-
"loss": 0.
|
16 |
"step": 264
|
17 |
},
|
18 |
{
|
19 |
"epoch": 1.0,
|
20 |
-
"eval_accuracy": 0.
|
21 |
-
"eval_loss": 0.
|
22 |
-
"eval_runtime": 0.
|
23 |
-
"eval_samples_per_second":
|
24 |
-
"eval_steps_per_second": 10.
|
25 |
"step": 264
|
26 |
},
|
27 |
{
|
28 |
"epoch": 2.0,
|
29 |
-
"grad_norm":
|
30 |
-
"learning_rate":
|
31 |
-
"loss": 0.
|
32 |
"step": 528
|
33 |
},
|
34 |
{
|
35 |
"epoch": 2.0,
|
36 |
-
"eval_accuracy": 0.
|
37 |
-
"eval_loss": 0.
|
38 |
-
"eval_runtime": 0.
|
39 |
-
"eval_samples_per_second":
|
40 |
-
"eval_steps_per_second": 10.
|
41 |
"step": 528
|
42 |
},
|
43 |
{
|
44 |
"epoch": 3.0,
|
45 |
-
"grad_norm":
|
46 |
-
"learning_rate":
|
47 |
-
"loss": 0.
|
48 |
"step": 792
|
49 |
},
|
50 |
{
|
51 |
"epoch": 3.0,
|
52 |
-
"eval_accuracy": 0.
|
53 |
-
"eval_loss": 0.
|
54 |
-
"eval_runtime": 0.
|
55 |
-
"eval_samples_per_second":
|
56 |
-
"eval_steps_per_second": 10.
|
57 |
"step": 792
|
58 |
},
|
59 |
{
|
60 |
"epoch": 4.0,
|
61 |
-
"grad_norm":
|
62 |
-
"learning_rate":
|
63 |
-
"loss": 0.
|
64 |
"step": 1056
|
65 |
},
|
66 |
{
|
67 |
"epoch": 4.0,
|
68 |
-
"eval_accuracy": 0.
|
69 |
-
"eval_loss": 0.
|
70 |
-
"eval_runtime": 0.
|
71 |
-
"eval_samples_per_second":
|
72 |
-
"eval_steps_per_second": 10.
|
73 |
"step": 1056
|
74 |
},
|
75 |
{
|
76 |
"epoch": 5.0,
|
77 |
-
"grad_norm": 0.
|
78 |
-
"learning_rate":
|
79 |
-
"loss": 0.
|
80 |
"step": 1320
|
81 |
},
|
82 |
{
|
83 |
"epoch": 5.0,
|
84 |
-
"eval_accuracy": 0.
|
85 |
-
"eval_loss": 0.
|
86 |
-
"eval_runtime": 0.
|
87 |
-
"eval_samples_per_second":
|
88 |
-
"eval_steps_per_second": 10.
|
89 |
"step": 1320
|
90 |
},
|
91 |
{
|
92 |
"epoch": 6.0,
|
93 |
-
"grad_norm":
|
94 |
-
"learning_rate":
|
95 |
-
"loss": 0.
|
96 |
"step": 1584
|
97 |
},
|
98 |
{
|
99 |
"epoch": 6.0,
|
100 |
-
"eval_accuracy": 0.
|
101 |
-
"eval_loss": 0.
|
102 |
-
"eval_runtime": 0.
|
103 |
-
"eval_samples_per_second":
|
104 |
-
"eval_steps_per_second": 10.
|
105 |
"step": 1584
|
106 |
},
|
107 |
{
|
108 |
-
"epoch":
|
109 |
-
"
|
110 |
-
"
|
111 |
-
"
|
112 |
-
"
|
113 |
-
|
114 |
-
|
115 |
-
"epoch": 7.0,
|
116 |
-
"eval_accuracy": 0.5091743119266054,
|
117 |
-
"eval_loss": 0.698842465877533,
|
118 |
-
"eval_runtime": 0.3825,
|
119 |
-
"eval_samples_per_second": 2279.681,
|
120 |
-
"eval_steps_per_second": 10.457,
|
121 |
-
"step": 1848
|
122 |
-
},
|
123 |
-
{
|
124 |
-
"epoch": 7.0,
|
125 |
-
"step": 1848,
|
126 |
-
"total_flos": 3.1225413912290304e+16,
|
127 |
-
"train_loss": 0.6902871069970069,
|
128 |
-
"train_runtime": 450.9671,
|
129 |
-
"train_samples_per_second": 7467.174,
|
130 |
-
"train_steps_per_second": 29.27
|
131 |
}
|
132 |
],
|
133 |
"logging_steps": 1,
|
@@ -156,7 +140,7 @@
|
|
156 |
"attributes": {}
|
157 |
}
|
158 |
},
|
159 |
-
"total_flos":
|
160 |
"train_batch_size": 256,
|
161 |
"trial_name": null,
|
162 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.35176724195480347,
|
3 |
+
"best_model_checkpoint": "distilbert_lda_5_v1_sst2/checkpoint-264",
|
4 |
+
"epoch": 6.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 1584,
|
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": 7.300721645355225,
|
14 |
+
"learning_rate": 4.9e-05,
|
15 |
+
"loss": 0.3414,
|
16 |
"step": 264
|
17 |
},
|
18 |
{
|
19 |
"epoch": 1.0,
|
20 |
+
"eval_accuracy": 0.8463302752293578,
|
21 |
+
"eval_loss": 0.35176724195480347,
|
22 |
+
"eval_runtime": 0.3773,
|
23 |
+
"eval_samples_per_second": 2311.298,
|
24 |
+
"eval_steps_per_second": 10.602,
|
25 |
"step": 264
|
26 |
},
|
27 |
{
|
28 |
"epoch": 2.0,
|
29 |
+
"grad_norm": 6.633228302001953,
|
30 |
+
"learning_rate": 4.8e-05,
|
31 |
+
"loss": 0.1865,
|
32 |
"step": 528
|
33 |
},
|
34 |
{
|
35 |
"epoch": 2.0,
|
36 |
+
"eval_accuracy": 0.8600917431192661,
|
37 |
+
"eval_loss": 0.35497570037841797,
|
38 |
+
"eval_runtime": 0.3782,
|
39 |
+
"eval_samples_per_second": 2305.767,
|
40 |
+
"eval_steps_per_second": 10.577,
|
41 |
"step": 528
|
42 |
},
|
43 |
{
|
44 |
"epoch": 3.0,
|
45 |
+
"grad_norm": 3.8063089847564697,
|
46 |
+
"learning_rate": 4.7e-05,
|
47 |
+
"loss": 0.1259,
|
48 |
"step": 792
|
49 |
},
|
50 |
{
|
51 |
"epoch": 3.0,
|
52 |
+
"eval_accuracy": 0.8612385321100917,
|
53 |
+
"eval_loss": 0.408633828163147,
|
54 |
+
"eval_runtime": 0.379,
|
55 |
+
"eval_samples_per_second": 2301.086,
|
56 |
+
"eval_steps_per_second": 10.555,
|
57 |
"step": 792
|
58 |
},
|
59 |
{
|
60 |
"epoch": 4.0,
|
61 |
+
"grad_norm": 6.068315505981445,
|
62 |
+
"learning_rate": 4.600000000000001e-05,
|
63 |
+
"loss": 0.0881,
|
64 |
"step": 1056
|
65 |
},
|
66 |
{
|
67 |
"epoch": 4.0,
|
68 |
+
"eval_accuracy": 0.8497706422018348,
|
69 |
+
"eval_loss": 0.481966495513916,
|
70 |
+
"eval_runtime": 0.3822,
|
71 |
+
"eval_samples_per_second": 2281.556,
|
72 |
+
"eval_steps_per_second": 10.466,
|
73 |
"step": 1056
|
74 |
},
|
75 |
{
|
76 |
"epoch": 5.0,
|
77 |
+
"grad_norm": 0.23764105141162872,
|
78 |
+
"learning_rate": 4.5e-05,
|
79 |
+
"loss": 0.0658,
|
80 |
"step": 1320
|
81 |
},
|
82 |
{
|
83 |
"epoch": 5.0,
|
84 |
+
"eval_accuracy": 0.8612385321100917,
|
85 |
+
"eval_loss": 0.4614078998565674,
|
86 |
+
"eval_runtime": 0.3773,
|
87 |
+
"eval_samples_per_second": 2310.886,
|
88 |
+
"eval_steps_per_second": 10.6,
|
89 |
"step": 1320
|
90 |
},
|
91 |
{
|
92 |
"epoch": 6.0,
|
93 |
+
"grad_norm": 5.384342193603516,
|
94 |
+
"learning_rate": 4.4000000000000006e-05,
|
95 |
+
"loss": 0.049,
|
96 |
"step": 1584
|
97 |
},
|
98 |
{
|
99 |
"epoch": 6.0,
|
100 |
+
"eval_accuracy": 0.8463302752293578,
|
101 |
+
"eval_loss": 0.47696468234062195,
|
102 |
+
"eval_runtime": 0.3821,
|
103 |
+
"eval_samples_per_second": 2282.095,
|
104 |
+
"eval_steps_per_second": 10.468,
|
105 |
"step": 1584
|
106 |
},
|
107 |
{
|
108 |
+
"epoch": 6.0,
|
109 |
+
"step": 1584,
|
110 |
+
"total_flos": 2.676464049624883e+16,
|
111 |
+
"train_loss": 0.14276121361087066,
|
112 |
+
"train_runtime": 385.3319,
|
113 |
+
"train_samples_per_second": 8739.09,
|
114 |
+
"train_steps_per_second": 34.256
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
115 |
}
|
116 |
],
|
117 |
"logging_steps": 1,
|
|
|
140 |
"attributes": {}
|
141 |
}
|
142 |
},
|
143 |
+
"total_flos": 2.676464049624883e+16,
|
144 |
"train_batch_size": 256,
|
145 |
"trial_name": null,
|
146 |
"trial_params": null
|