End of training
Browse files- README.md +9 -7
- all_results.json +16 -0
- eval_results.json +11 -0
- logs/events.out.tfevents.1677756168.serv-9223.249682.20 +3 -0
- train_results.json +8 -0
- trainer_state.json +246 -0
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: stsb
|
| 18 |
split: validation
|
|
@@ -20,7 +22,7 @@ model-index:
|
|
| 20 |
metrics:
|
| 21 |
- name: Spearmanr
|
| 22 |
type: spearmanr
|
| 23 |
-
value: 0.
|
| 24 |
---
|
| 25 |
|
| 26 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -28,12 +30,12 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 28 |
|
| 29 |
# hBERTv1_stsb
|
| 30 |
|
| 31 |
-
This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1](https://huggingface.co/gokuls/bert_12_layer_model_v1) on the
|
| 32 |
It achieves the following results on the evaluation set:
|
| 33 |
-
- Loss: 1.
|
| 34 |
-
- Pearson: 0.
|
| 35 |
-
- Spearmanr: 0.
|
| 36 |
-
- Combined Score: 0.
|
| 37 |
|
| 38 |
## Model description
|
| 39 |
|
|
|
|
| 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 STSB
|
| 18 |
type: glue
|
| 19 |
config: stsb
|
| 20 |
split: validation
|
|
|
|
| 22 |
metrics:
|
| 23 |
- name: Spearmanr
|
| 24 |
type: spearmanr
|
| 25 |
+
value: 0.7155715863961268
|
| 26 |
---
|
| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 30 |
|
| 31 |
# hBERTv1_stsb
|
| 32 |
|
| 33 |
+
This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1](https://huggingface.co/gokuls/bert_12_layer_model_v1) on the GLUE STSB dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 1.1154
|
| 36 |
+
- Pearson: 0.7159
|
| 37 |
+
- Spearmanr: 0.7156
|
| 38 |
+
- Combined Score: 0.7157
|
| 39 |
|
| 40 |
## Model description
|
| 41 |
|
all_results.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 13.0,
|
| 3 |
+
"eval_combined_score": 0.7157490703420486,
|
| 4 |
+
"eval_loss": 1.1154277324676514,
|
| 5 |
+
"eval_pearson": 0.7159265542879704,
|
| 6 |
+
"eval_runtime": 1.917,
|
| 7 |
+
"eval_samples": 1500,
|
| 8 |
+
"eval_samples_per_second": 782.476,
|
| 9 |
+
"eval_spearmanr": 0.7155715863961268,
|
| 10 |
+
"eval_steps_per_second": 3.13,
|
| 11 |
+
"train_loss": 1.0456982304818654,
|
| 12 |
+
"train_runtime": 396.42,
|
| 13 |
+
"train_samples": 5749,
|
| 14 |
+
"train_samples_per_second": 725.115,
|
| 15 |
+
"train_steps_per_second": 2.901
|
| 16 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 13.0,
|
| 3 |
+
"eval_combined_score": 0.7157490703420486,
|
| 4 |
+
"eval_loss": 1.1154277324676514,
|
| 5 |
+
"eval_pearson": 0.7159265542879704,
|
| 6 |
+
"eval_runtime": 1.917,
|
| 7 |
+
"eval_samples": 1500,
|
| 8 |
+
"eval_samples_per_second": 782.476,
|
| 9 |
+
"eval_spearmanr": 0.7155715863961268,
|
| 10 |
+
"eval_steps_per_second": 3.13
|
| 11 |
+
}
|
logs/events.out.tfevents.1677756168.serv-9223.249682.20
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fc888a54b43ca33217531aa62a6610a9aabf41e433d1abf72452883ab4f6bb4d
|
| 3 |
+
size 473
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 13.0,
|
| 3 |
+
"train_loss": 1.0456982304818654,
|
| 4 |
+
"train_runtime": 396.42,
|
| 5 |
+
"train_samples": 5749,
|
| 6 |
+
"train_samples_per_second": 725.115,
|
| 7 |
+
"train_steps_per_second": 2.901
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,246 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.1154277324676514,
|
| 3 |
+
"best_model_checkpoint": "hBERTv1_stsb/checkpoint-184",
|
| 4 |
+
"epoch": 13.0,
|
| 5 |
+
"global_step": 299,
|
| 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": 4.9173913043478265e-05,
|
| 13 |
+
"loss": 4.0796,
|
| 14 |
+
"step": 23
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 1.0,
|
| 18 |
+
"eval_combined_score": 0.06538801707026302,
|
| 19 |
+
"eval_loss": 2.301738977432251,
|
| 20 |
+
"eval_pearson": 0.07610945358839591,
|
| 21 |
+
"eval_runtime": 1.9306,
|
| 22 |
+
"eval_samples_per_second": 776.964,
|
| 23 |
+
"eval_spearmanr": 0.05466658055213014,
|
| 24 |
+
"eval_steps_per_second": 3.108,
|
| 25 |
+
"step": 23
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 2.0,
|
| 29 |
+
"learning_rate": 4.817391304347826e-05,
|
| 30 |
+
"loss": 2.0746,
|
| 31 |
+
"step": 46
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 2.0,
|
| 35 |
+
"eval_combined_score": 0.08111168068438418,
|
| 36 |
+
"eval_loss": 2.618116855621338,
|
| 37 |
+
"eval_pearson": 0.08503304117233579,
|
| 38 |
+
"eval_runtime": 1.9212,
|
| 39 |
+
"eval_samples_per_second": 780.765,
|
| 40 |
+
"eval_spearmanr": 0.07719032019643259,
|
| 41 |
+
"eval_steps_per_second": 3.123,
|
| 42 |
+
"step": 46
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 3.0,
|
| 46 |
+
"learning_rate": 4.7173913043478264e-05,
|
| 47 |
+
"loss": 1.9142,
|
| 48 |
+
"step": 69
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 3.0,
|
| 52 |
+
"eval_combined_score": 0.18653024063604068,
|
| 53 |
+
"eval_loss": 2.29634952545166,
|
| 54 |
+
"eval_pearson": 0.1878248631380315,
|
| 55 |
+
"eval_runtime": 1.9303,
|
| 56 |
+
"eval_samples_per_second": 777.095,
|
| 57 |
+
"eval_spearmanr": 0.18523561813404985,
|
| 58 |
+
"eval_steps_per_second": 3.108,
|
| 59 |
+
"step": 69
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 4.0,
|
| 63 |
+
"learning_rate": 4.617391304347826e-05,
|
| 64 |
+
"loss": 1.6883,
|
| 65 |
+
"step": 92
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 4.0,
|
| 69 |
+
"eval_combined_score": 0.47587247941695476,
|
| 70 |
+
"eval_loss": 2.18662691116333,
|
| 71 |
+
"eval_pearson": 0.4740108701640409,
|
| 72 |
+
"eval_runtime": 1.9255,
|
| 73 |
+
"eval_samples_per_second": 779.032,
|
| 74 |
+
"eval_spearmanr": 0.4777340886698686,
|
| 75 |
+
"eval_steps_per_second": 3.116,
|
| 76 |
+
"step": 92
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"epoch": 5.0,
|
| 80 |
+
"learning_rate": 4.517391304347826e-05,
|
| 81 |
+
"loss": 1.1166,
|
| 82 |
+
"step": 115
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 5.0,
|
| 86 |
+
"eval_combined_score": 0.6384359218484894,
|
| 87 |
+
"eval_loss": 1.9366592168807983,
|
| 88 |
+
"eval_pearson": 0.6318718203898596,
|
| 89 |
+
"eval_runtime": 1.9201,
|
| 90 |
+
"eval_samples_per_second": 781.199,
|
| 91 |
+
"eval_spearmanr": 0.6450000233071193,
|
| 92 |
+
"eval_steps_per_second": 3.125,
|
| 93 |
+
"step": 115
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 6.0,
|
| 97 |
+
"learning_rate": 4.4173913043478265e-05,
|
| 98 |
+
"loss": 0.7598,
|
| 99 |
+
"step": 138
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 6.0,
|
| 103 |
+
"eval_combined_score": 0.684468485485146,
|
| 104 |
+
"eval_loss": 1.4188166856765747,
|
| 105 |
+
"eval_pearson": 0.6801003203440246,
|
| 106 |
+
"eval_runtime": 1.9182,
|
| 107 |
+
"eval_samples_per_second": 781.975,
|
| 108 |
+
"eval_spearmanr": 0.6888366506262675,
|
| 109 |
+
"eval_steps_per_second": 3.128,
|
| 110 |
+
"step": 138
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 7.0,
|
| 114 |
+
"learning_rate": 4.317391304347827e-05,
|
| 115 |
+
"loss": 0.5453,
|
| 116 |
+
"step": 161
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 7.0,
|
| 120 |
+
"eval_combined_score": 0.6994286994310785,
|
| 121 |
+
"eval_loss": 1.2720448970794678,
|
| 122 |
+
"eval_pearson": 0.6987976257082615,
|
| 123 |
+
"eval_runtime": 1.9166,
|
| 124 |
+
"eval_samples_per_second": 782.626,
|
| 125 |
+
"eval_spearmanr": 0.7000597731538957,
|
| 126 |
+
"eval_steps_per_second": 3.131,
|
| 127 |
+
"step": 161
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 8.0,
|
| 131 |
+
"learning_rate": 4.2173913043478264e-05,
|
| 132 |
+
"loss": 0.3705,
|
| 133 |
+
"step": 184
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"epoch": 8.0,
|
| 137 |
+
"eval_combined_score": 0.7157490703420486,
|
| 138 |
+
"eval_loss": 1.1154277324676514,
|
| 139 |
+
"eval_pearson": 0.7159265542879704,
|
| 140 |
+
"eval_runtime": 1.9188,
|
| 141 |
+
"eval_samples_per_second": 781.732,
|
| 142 |
+
"eval_spearmanr": 0.7155715863961268,
|
| 143 |
+
"eval_steps_per_second": 3.127,
|
| 144 |
+
"step": 184
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 9.0,
|
| 148 |
+
"learning_rate": 4.117391304347826e-05,
|
| 149 |
+
"loss": 0.2976,
|
| 150 |
+
"step": 207
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 9.0,
|
| 154 |
+
"eval_combined_score": 0.6780274177666261,
|
| 155 |
+
"eval_loss": 1.6889050006866455,
|
| 156 |
+
"eval_pearson": 0.6753593078005974,
|
| 157 |
+
"eval_runtime": 1.9186,
|
| 158 |
+
"eval_samples_per_second": 781.809,
|
| 159 |
+
"eval_spearmanr": 0.680695527732655,
|
| 160 |
+
"eval_steps_per_second": 3.127,
|
| 161 |
+
"step": 207
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 10.0,
|
| 165 |
+
"learning_rate": 4.017391304347826e-05,
|
| 166 |
+
"loss": 0.2272,
|
| 167 |
+
"step": 230
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 10.0,
|
| 171 |
+
"eval_combined_score": 0.691436341571948,
|
| 172 |
+
"eval_loss": 1.3627489805221558,
|
| 173 |
+
"eval_pearson": 0.692937129271751,
|
| 174 |
+
"eval_runtime": 1.9208,
|
| 175 |
+
"eval_samples_per_second": 780.912,
|
| 176 |
+
"eval_spearmanr": 0.6899355538721449,
|
| 177 |
+
"eval_steps_per_second": 3.124,
|
| 178 |
+
"step": 230
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 11.0,
|
| 182 |
+
"learning_rate": 3.917391304347826e-05,
|
| 183 |
+
"loss": 0.1966,
|
| 184 |
+
"step": 253
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 11.0,
|
| 188 |
+
"eval_combined_score": 0.7181059118945743,
|
| 189 |
+
"eval_loss": 1.127779245376587,
|
| 190 |
+
"eval_pearson": 0.7195047805569822,
|
| 191 |
+
"eval_runtime": 1.9246,
|
| 192 |
+
"eval_samples_per_second": 779.363,
|
| 193 |
+
"eval_spearmanr": 0.7167070432321663,
|
| 194 |
+
"eval_steps_per_second": 3.117,
|
| 195 |
+
"step": 253
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 12.0,
|
| 199 |
+
"learning_rate": 3.817391304347827e-05,
|
| 200 |
+
"loss": 0.1708,
|
| 201 |
+
"step": 276
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 12.0,
|
| 205 |
+
"eval_combined_score": 0.7167948198834158,
|
| 206 |
+
"eval_loss": 1.3475854396820068,
|
| 207 |
+
"eval_pearson": 0.717074708327728,
|
| 208 |
+
"eval_runtime": 1.9199,
|
| 209 |
+
"eval_samples_per_second": 781.302,
|
| 210 |
+
"eval_spearmanr": 0.7165149314391035,
|
| 211 |
+
"eval_steps_per_second": 3.125,
|
| 212 |
+
"step": 276
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 13.0,
|
| 216 |
+
"learning_rate": 3.7173913043478264e-05,
|
| 217 |
+
"loss": 0.1529,
|
| 218 |
+
"step": 299
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 13.0,
|
| 222 |
+
"eval_combined_score": 0.6961706036044664,
|
| 223 |
+
"eval_loss": 1.26143217086792,
|
| 224 |
+
"eval_pearson": 0.6981627569979957,
|
| 225 |
+
"eval_runtime": 1.9277,
|
| 226 |
+
"eval_samples_per_second": 778.118,
|
| 227 |
+
"eval_spearmanr": 0.6941784502109372,
|
| 228 |
+
"eval_steps_per_second": 3.112,
|
| 229 |
+
"step": 299
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 13.0,
|
| 233 |
+
"step": 299,
|
| 234 |
+
"total_flos": 9440019617939456.0,
|
| 235 |
+
"train_loss": 1.0456982304818654,
|
| 236 |
+
"train_runtime": 396.42,
|
| 237 |
+
"train_samples_per_second": 725.115,
|
| 238 |
+
"train_steps_per_second": 2.901
|
| 239 |
+
}
|
| 240 |
+
],
|
| 241 |
+
"max_steps": 1150,
|
| 242 |
+
"num_train_epochs": 50,
|
| 243 |
+
"total_flos": 9440019617939456.0,
|
| 244 |
+
"trial_name": null,
|
| 245 |
+
"trial_params": null
|
| 246 |
+
}
|