gokulsrinivasagan
commited on
End of training
Browse files- README.md +21 -6
- all_results.json +17 -0
- eval_results.json +11 -0
- logs/events.out.tfevents.1733338323.ki-g0008.1761130.31 +3 -0
- train_results.json +9 -0
- trainer_state.json +465 -0
README.md
CHANGED
@@ -1,14 +1,29 @@
|
|
1 |
---
|
2 |
library_name: transformers
|
|
|
|
|
3 |
license: apache-2.0
|
4 |
base_model: google/bert_uncased_L-4_H-512_A-8
|
5 |
tags:
|
6 |
- generated_from_trainer
|
|
|
|
|
7 |
metrics:
|
8 |
- spearmanr
|
9 |
model-index:
|
10 |
- name: bert_uncased_L-4_H-512_A-8_stsb
|
11 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
12 |
---
|
13 |
|
14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -16,12 +31,12 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
# bert_uncased_L-4_H-512_A-8_stsb
|
18 |
|
19 |
-
This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss: 0.
|
22 |
-
- Pearson: 0.
|
23 |
-
- Spearmanr: 0.
|
24 |
-
- Combined Score: 0.
|
25 |
|
26 |
## Model description
|
27 |
|
|
|
1 |
---
|
2 |
library_name: transformers
|
3 |
+
language:
|
4 |
+
- en
|
5 |
license: apache-2.0
|
6 |
base_model: google/bert_uncased_L-4_H-512_A-8
|
7 |
tags:
|
8 |
- generated_from_trainer
|
9 |
+
datasets:
|
10 |
+
- glue
|
11 |
metrics:
|
12 |
- spearmanr
|
13 |
model-index:
|
14 |
- name: bert_uncased_L-4_H-512_A-8_stsb
|
15 |
+
results:
|
16 |
+
- task:
|
17 |
+
name: Text Classification
|
18 |
+
type: text-classification
|
19 |
+
dataset:
|
20 |
+
name: GLUE STSB
|
21 |
+
type: glue
|
22 |
+
args: stsb
|
23 |
+
metrics:
|
24 |
+
- name: Spearmanr
|
25 |
+
type: spearmanr
|
26 |
+
value: 0.8704339623572931
|
27 |
---
|
28 |
|
29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
31 |
|
32 |
# bert_uncased_L-4_H-512_A-8_stsb
|
33 |
|
34 |
+
This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the GLUE STSB dataset.
|
35 |
It achieves the following results on the evaluation set:
|
36 |
+
- Loss: 0.5646
|
37 |
+
- Pearson: 0.8739
|
38 |
+
- Spearmanr: 0.8704
|
39 |
+
- Combined Score: 0.8721
|
40 |
|
41 |
## Model description
|
42 |
|
all_results.json
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 23.0,
|
3 |
+
"eval_combined_score": 0.8721440455693346,
|
4 |
+
"eval_loss": 0.5645565390586853,
|
5 |
+
"eval_pearson": 0.873854128781376,
|
6 |
+
"eval_runtime": 0.6286,
|
7 |
+
"eval_samples": 1500,
|
8 |
+
"eval_samples_per_second": 2386.301,
|
9 |
+
"eval_spearmanr": 0.8704339623572931,
|
10 |
+
"eval_steps_per_second": 9.545,
|
11 |
+
"total_flos": 2614663011045888.0,
|
12 |
+
"train_loss": 0.3415615337782862,
|
13 |
+
"train_runtime": 113.3247,
|
14 |
+
"train_samples": 5749,
|
15 |
+
"train_samples_per_second": 2536.516,
|
16 |
+
"train_steps_per_second": 10.148
|
17 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 23.0,
|
3 |
+
"eval_combined_score": 0.8721440455693346,
|
4 |
+
"eval_loss": 0.5645565390586853,
|
5 |
+
"eval_pearson": 0.873854128781376,
|
6 |
+
"eval_runtime": 0.6286,
|
7 |
+
"eval_samples": 1500,
|
8 |
+
"eval_samples_per_second": 2386.301,
|
9 |
+
"eval_spearmanr": 0.8704339623572931,
|
10 |
+
"eval_steps_per_second": 9.545
|
11 |
+
}
|
logs/events.out.tfevents.1733338323.ki-g0008.1761130.31
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a1526038a2ec44c8e4d2d9e6fea6e74797aaed133746e2ef9ac7f0b95d6bb4d6
|
3 |
+
size 521
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 23.0,
|
3 |
+
"total_flos": 2614663011045888.0,
|
4 |
+
"train_loss": 0.3415615337782862,
|
5 |
+
"train_runtime": 113.3247,
|
6 |
+
"train_samples": 5749,
|
7 |
+
"train_samples_per_second": 2536.516,
|
8 |
+
"train_steps_per_second": 10.148
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,465 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.5645565390586853,
|
3 |
+
"best_model_checkpoint": "bert_uncased_L-4_H-512_A-8_stsb/checkpoint-414",
|
4 |
+
"epoch": 23.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 529,
|
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": 6.830661773681641,
|
14 |
+
"learning_rate": 4.9e-05,
|
15 |
+
"loss": 2.5878,
|
16 |
+
"step": 23
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 1.0,
|
20 |
+
"eval_combined_score": 0.7701561984669311,
|
21 |
+
"eval_loss": 0.9754181504249573,
|
22 |
+
"eval_pearson": 0.7823353387435045,
|
23 |
+
"eval_runtime": 0.6067,
|
24 |
+
"eval_samples_per_second": 2472.44,
|
25 |
+
"eval_spearmanr": 0.7579770581903577,
|
26 |
+
"eval_steps_per_second": 9.89,
|
27 |
+
"step": 23
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 2.0,
|
31 |
+
"grad_norm": 5.863245487213135,
|
32 |
+
"learning_rate": 4.8e-05,
|
33 |
+
"loss": 0.797,
|
34 |
+
"step": 46
|
35 |
+
},
|
36 |
+
{
|
37 |
+
"epoch": 2.0,
|
38 |
+
"eval_combined_score": 0.8474045759571504,
|
39 |
+
"eval_loss": 0.7765601277351379,
|
40 |
+
"eval_pearson": 0.8466114574812236,
|
41 |
+
"eval_runtime": 0.5993,
|
42 |
+
"eval_samples_per_second": 2502.798,
|
43 |
+
"eval_spearmanr": 0.8481976944330771,
|
44 |
+
"eval_steps_per_second": 10.011,
|
45 |
+
"step": 46
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 3.0,
|
49 |
+
"grad_norm": 5.94612979888916,
|
50 |
+
"learning_rate": 4.7e-05,
|
51 |
+
"loss": 0.5786,
|
52 |
+
"step": 69
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 3.0,
|
56 |
+
"eval_combined_score": 0.8595259972012628,
|
57 |
+
"eval_loss": 0.6313804984092712,
|
58 |
+
"eval_pearson": 0.8603476034751536,
|
59 |
+
"eval_runtime": 0.5837,
|
60 |
+
"eval_samples_per_second": 2569.683,
|
61 |
+
"eval_spearmanr": 0.8587043909273718,
|
62 |
+
"eval_steps_per_second": 10.279,
|
63 |
+
"step": 69
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 4.0,
|
67 |
+
"grad_norm": 5.815054416656494,
|
68 |
+
"learning_rate": 4.600000000000001e-05,
|
69 |
+
"loss": 0.4961,
|
70 |
+
"step": 92
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"epoch": 4.0,
|
74 |
+
"eval_combined_score": 0.863972207025754,
|
75 |
+
"eval_loss": 0.6342185139656067,
|
76 |
+
"eval_pearson": 0.864253629360168,
|
77 |
+
"eval_runtime": 0.5999,
|
78 |
+
"eval_samples_per_second": 2500.544,
|
79 |
+
"eval_spearmanr": 0.8636907846913399,
|
80 |
+
"eval_steps_per_second": 10.002,
|
81 |
+
"step": 92
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 5.0,
|
85 |
+
"grad_norm": 5.26311731338501,
|
86 |
+
"learning_rate": 4.5e-05,
|
87 |
+
"loss": 0.3944,
|
88 |
+
"step": 115
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 5.0,
|
92 |
+
"eval_combined_score": 0.8688625775742702,
|
93 |
+
"eval_loss": 0.6018186807632446,
|
94 |
+
"eval_pearson": 0.8694015311403887,
|
95 |
+
"eval_runtime": 0.5948,
|
96 |
+
"eval_samples_per_second": 2521.799,
|
97 |
+
"eval_spearmanr": 0.8683236240081519,
|
98 |
+
"eval_steps_per_second": 10.087,
|
99 |
+
"step": 115
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 6.0,
|
103 |
+
"grad_norm": 5.787060737609863,
|
104 |
+
"learning_rate": 4.4000000000000006e-05,
|
105 |
+
"loss": 0.3362,
|
106 |
+
"step": 138
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 6.0,
|
110 |
+
"eval_combined_score": 0.8657998136907656,
|
111 |
+
"eval_loss": 0.6101198792457581,
|
112 |
+
"eval_pearson": 0.8658762558868609,
|
113 |
+
"eval_runtime": 0.596,
|
114 |
+
"eval_samples_per_second": 2516.574,
|
115 |
+
"eval_spearmanr": 0.8657233714946704,
|
116 |
+
"eval_steps_per_second": 10.066,
|
117 |
+
"step": 138
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 7.0,
|
121 |
+
"grad_norm": 11.731350898742676,
|
122 |
+
"learning_rate": 4.3e-05,
|
123 |
+
"loss": 0.2932,
|
124 |
+
"step": 161
|
125 |
+
},
|
126 |
+
{
|
127 |
+
"epoch": 7.0,
|
128 |
+
"eval_combined_score": 0.867202263600297,
|
129 |
+
"eval_loss": 0.6055566072463989,
|
130 |
+
"eval_pearson": 0.8677929726947374,
|
131 |
+
"eval_runtime": 0.6269,
|
132 |
+
"eval_samples_per_second": 2392.606,
|
133 |
+
"eval_spearmanr": 0.8666115545058564,
|
134 |
+
"eval_steps_per_second": 9.57,
|
135 |
+
"step": 161
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 8.0,
|
139 |
+
"grad_norm": 6.97740364074707,
|
140 |
+
"learning_rate": 4.2e-05,
|
141 |
+
"loss": 0.2495,
|
142 |
+
"step": 184
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 8.0,
|
146 |
+
"eval_combined_score": 0.8675369208706127,
|
147 |
+
"eval_loss": 0.6255138516426086,
|
148 |
+
"eval_pearson": 0.8678571378034932,
|
149 |
+
"eval_runtime": 0.6161,
|
150 |
+
"eval_samples_per_second": 2434.767,
|
151 |
+
"eval_spearmanr": 0.8672167039377323,
|
152 |
+
"eval_steps_per_second": 9.739,
|
153 |
+
"step": 184
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 9.0,
|
157 |
+
"grad_norm": 4.306568145751953,
|
158 |
+
"learning_rate": 4.1e-05,
|
159 |
+
"loss": 0.2268,
|
160 |
+
"step": 207
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 9.0,
|
164 |
+
"eval_combined_score": 0.8691801970155717,
|
165 |
+
"eval_loss": 0.5970388054847717,
|
166 |
+
"eval_pearson": 0.8699055489590755,
|
167 |
+
"eval_runtime": 0.6258,
|
168 |
+
"eval_samples_per_second": 2396.782,
|
169 |
+
"eval_spearmanr": 0.8684548450720679,
|
170 |
+
"eval_steps_per_second": 9.587,
|
171 |
+
"step": 207
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 10.0,
|
175 |
+
"grad_norm": 8.294599533081055,
|
176 |
+
"learning_rate": 4e-05,
|
177 |
+
"loss": 0.2037,
|
178 |
+
"step": 230
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 10.0,
|
182 |
+
"eval_combined_score": 0.868154308441244,
|
183 |
+
"eval_loss": 0.6516512632369995,
|
184 |
+
"eval_pearson": 0.869129623680379,
|
185 |
+
"eval_runtime": 0.6109,
|
186 |
+
"eval_samples_per_second": 2455.261,
|
187 |
+
"eval_spearmanr": 0.8671789932021089,
|
188 |
+
"eval_steps_per_second": 9.821,
|
189 |
+
"step": 230
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 11.0,
|
193 |
+
"grad_norm": 4.237338542938232,
|
194 |
+
"learning_rate": 3.9000000000000006e-05,
|
195 |
+
"loss": 0.191,
|
196 |
+
"step": 253
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 11.0,
|
200 |
+
"eval_combined_score": 0.8693045282961145,
|
201 |
+
"eval_loss": 0.601725697517395,
|
202 |
+
"eval_pearson": 0.8709460268802508,
|
203 |
+
"eval_runtime": 0.6389,
|
204 |
+
"eval_samples_per_second": 2347.804,
|
205 |
+
"eval_spearmanr": 0.8676630297119781,
|
206 |
+
"eval_steps_per_second": 9.391,
|
207 |
+
"step": 253
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 12.0,
|
211 |
+
"grad_norm": 3.5681674480438232,
|
212 |
+
"learning_rate": 3.8e-05,
|
213 |
+
"loss": 0.1678,
|
214 |
+
"step": 276
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 12.0,
|
218 |
+
"eval_combined_score": 0.8694683064851385,
|
219 |
+
"eval_loss": 0.6096729636192322,
|
220 |
+
"eval_pearson": 0.8704163838060811,
|
221 |
+
"eval_runtime": 0.61,
|
222 |
+
"eval_samples_per_second": 2458.83,
|
223 |
+
"eval_spearmanr": 0.8685202291641958,
|
224 |
+
"eval_steps_per_second": 9.835,
|
225 |
+
"step": 276
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 13.0,
|
229 |
+
"grad_norm": 3.010383367538452,
|
230 |
+
"learning_rate": 3.7e-05,
|
231 |
+
"loss": 0.1546,
|
232 |
+
"step": 299
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 13.0,
|
236 |
+
"eval_combined_score": 0.8707355017307861,
|
237 |
+
"eval_loss": 0.6051801443099976,
|
238 |
+
"eval_pearson": 0.8713328676887442,
|
239 |
+
"eval_runtime": 0.6283,
|
240 |
+
"eval_samples_per_second": 2387.444,
|
241 |
+
"eval_spearmanr": 0.8701381357728278,
|
242 |
+
"eval_steps_per_second": 9.55,
|
243 |
+
"step": 299
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 14.0,
|
247 |
+
"grad_norm": 4.628120422363281,
|
248 |
+
"learning_rate": 3.6e-05,
|
249 |
+
"loss": 0.1486,
|
250 |
+
"step": 322
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 14.0,
|
254 |
+
"eval_combined_score": 0.8701183473370655,
|
255 |
+
"eval_loss": 0.5913792252540588,
|
256 |
+
"eval_pearson": 0.8713640146825573,
|
257 |
+
"eval_runtime": 0.6333,
|
258 |
+
"eval_samples_per_second": 2368.584,
|
259 |
+
"eval_spearmanr": 0.8688726799915738,
|
260 |
+
"eval_steps_per_second": 9.474,
|
261 |
+
"step": 322
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 15.0,
|
265 |
+
"grad_norm": 3.274272918701172,
|
266 |
+
"learning_rate": 3.5e-05,
|
267 |
+
"loss": 0.1372,
|
268 |
+
"step": 345
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 15.0,
|
272 |
+
"eval_combined_score": 0.8719789615058817,
|
273 |
+
"eval_loss": 0.6174795031547546,
|
274 |
+
"eval_pearson": 0.8737840000829027,
|
275 |
+
"eval_runtime": 0.6364,
|
276 |
+
"eval_samples_per_second": 2357.008,
|
277 |
+
"eval_spearmanr": 0.8701739229288608,
|
278 |
+
"eval_steps_per_second": 9.428,
|
279 |
+
"step": 345
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 16.0,
|
283 |
+
"grad_norm": 2.2427499294281006,
|
284 |
+
"learning_rate": 3.4000000000000007e-05,
|
285 |
+
"loss": 0.131,
|
286 |
+
"step": 368
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 16.0,
|
290 |
+
"eval_combined_score": 0.8714552917935461,
|
291 |
+
"eval_loss": 0.5825785994529724,
|
292 |
+
"eval_pearson": 0.8726691216431404,
|
293 |
+
"eval_runtime": 0.6147,
|
294 |
+
"eval_samples_per_second": 2440.092,
|
295 |
+
"eval_spearmanr": 0.8702414619439519,
|
296 |
+
"eval_steps_per_second": 9.76,
|
297 |
+
"step": 368
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 17.0,
|
301 |
+
"grad_norm": 3.5106945037841797,
|
302 |
+
"learning_rate": 3.3e-05,
|
303 |
+
"loss": 0.1216,
|
304 |
+
"step": 391
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 17.0,
|
308 |
+
"eval_combined_score": 0.8701714131214551,
|
309 |
+
"eval_loss": 0.577867865562439,
|
310 |
+
"eval_pearson": 0.8717439862070048,
|
311 |
+
"eval_runtime": 0.5982,
|
312 |
+
"eval_samples_per_second": 2507.56,
|
313 |
+
"eval_spearmanr": 0.8685988400359054,
|
314 |
+
"eval_steps_per_second": 10.03,
|
315 |
+
"step": 391
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 18.0,
|
319 |
+
"grad_norm": 4.543298721313477,
|
320 |
+
"learning_rate": 3.2000000000000005e-05,
|
321 |
+
"loss": 0.1145,
|
322 |
+
"step": 414
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 18.0,
|
326 |
+
"eval_combined_score": 0.8721440455693346,
|
327 |
+
"eval_loss": 0.5645565390586853,
|
328 |
+
"eval_pearson": 0.873854128781376,
|
329 |
+
"eval_runtime": 0.6076,
|
330 |
+
"eval_samples_per_second": 2468.855,
|
331 |
+
"eval_spearmanr": 0.8704339623572931,
|
332 |
+
"eval_steps_per_second": 9.875,
|
333 |
+
"step": 414
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 19.0,
|
337 |
+
"grad_norm": 4.314229965209961,
|
338 |
+
"learning_rate": 3.1e-05,
|
339 |
+
"loss": 0.1158,
|
340 |
+
"step": 437
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 19.0,
|
344 |
+
"eval_combined_score": 0.8724136267007434,
|
345 |
+
"eval_loss": 0.5810861587524414,
|
346 |
+
"eval_pearson": 0.8737710324523099,
|
347 |
+
"eval_runtime": 0.6002,
|
348 |
+
"eval_samples_per_second": 2499.237,
|
349 |
+
"eval_spearmanr": 0.871056220949177,
|
350 |
+
"eval_steps_per_second": 9.997,
|
351 |
+
"step": 437
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 20.0,
|
355 |
+
"grad_norm": 5.715078830718994,
|
356 |
+
"learning_rate": 3e-05,
|
357 |
+
"loss": 0.109,
|
358 |
+
"step": 460
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 20.0,
|
362 |
+
"eval_combined_score": 0.8741776682213974,
|
363 |
+
"eval_loss": 0.5896406173706055,
|
364 |
+
"eval_pearson": 0.876321941342814,
|
365 |
+
"eval_runtime": 0.599,
|
366 |
+
"eval_samples_per_second": 2504.307,
|
367 |
+
"eval_spearmanr": 0.8720333950999808,
|
368 |
+
"eval_steps_per_second": 10.017,
|
369 |
+
"step": 460
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 21.0,
|
373 |
+
"grad_norm": 3.1881017684936523,
|
374 |
+
"learning_rate": 2.9e-05,
|
375 |
+
"loss": 0.105,
|
376 |
+
"step": 483
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 21.0,
|
380 |
+
"eval_combined_score": 0.8720974137486168,
|
381 |
+
"eval_loss": 0.5863229036331177,
|
382 |
+
"eval_pearson": 0.8737022748828657,
|
383 |
+
"eval_runtime": 0.5928,
|
384 |
+
"eval_samples_per_second": 2530.409,
|
385 |
+
"eval_spearmanr": 0.8704925526143681,
|
386 |
+
"eval_steps_per_second": 10.122,
|
387 |
+
"step": 483
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 22.0,
|
391 |
+
"grad_norm": 3.1537728309631348,
|
392 |
+
"learning_rate": 2.8000000000000003e-05,
|
393 |
+
"loss": 0.0995,
|
394 |
+
"step": 506
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 22.0,
|
398 |
+
"eval_combined_score": 0.8721144188715132,
|
399 |
+
"eval_loss": 0.5757761001586914,
|
400 |
+
"eval_pearson": 0.8740875105899543,
|
401 |
+
"eval_runtime": 0.6179,
|
402 |
+
"eval_samples_per_second": 2427.472,
|
403 |
+
"eval_spearmanr": 0.8701413271530721,
|
404 |
+
"eval_steps_per_second": 9.71,
|
405 |
+
"step": 506
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 23.0,
|
409 |
+
"grad_norm": 2.4976413249969482,
|
410 |
+
"learning_rate": 2.7000000000000002e-05,
|
411 |
+
"loss": 0.0971,
|
412 |
+
"step": 529
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"epoch": 23.0,
|
416 |
+
"eval_combined_score": 0.8730602670988505,
|
417 |
+
"eval_loss": 0.5780627727508545,
|
418 |
+
"eval_pearson": 0.8748200461236054,
|
419 |
+
"eval_runtime": 0.613,
|
420 |
+
"eval_samples_per_second": 2446.918,
|
421 |
+
"eval_spearmanr": 0.8713004880740955,
|
422 |
+
"eval_steps_per_second": 9.788,
|
423 |
+
"step": 529
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 23.0,
|
427 |
+
"step": 529,
|
428 |
+
"total_flos": 2614663011045888.0,
|
429 |
+
"train_loss": 0.3415615337782862,
|
430 |
+
"train_runtime": 113.3247,
|
431 |
+
"train_samples_per_second": 2536.516,
|
432 |
+
"train_steps_per_second": 10.148
|
433 |
+
}
|
434 |
+
],
|
435 |
+
"logging_steps": 1,
|
436 |
+
"max_steps": 1150,
|
437 |
+
"num_input_tokens_seen": 0,
|
438 |
+
"num_train_epochs": 50,
|
439 |
+
"save_steps": 500,
|
440 |
+
"stateful_callbacks": {
|
441 |
+
"EarlyStoppingCallback": {
|
442 |
+
"args": {
|
443 |
+
"early_stopping_patience": 5,
|
444 |
+
"early_stopping_threshold": 0.0
|
445 |
+
},
|
446 |
+
"attributes": {
|
447 |
+
"early_stopping_patience_counter": 5
|
448 |
+
}
|
449 |
+
},
|
450 |
+
"TrainerControl": {
|
451 |
+
"args": {
|
452 |
+
"should_epoch_stop": false,
|
453 |
+
"should_evaluate": false,
|
454 |
+
"should_log": false,
|
455 |
+
"should_save": true,
|
456 |
+
"should_training_stop": true
|
457 |
+
},
|
458 |
+
"attributes": {}
|
459 |
+
}
|
460 |
+
},
|
461 |
+
"total_flos": 2614663011045888.0,
|
462 |
+
"train_batch_size": 256,
|
463 |
+
"trial_name": null,
|
464 |
+
"trial_params": null
|
465 |
+
}
|