End of training
Browse files- README.md +21 -6
- all_results.json +17 -0
- eval_results.json +11 -0
- logs/events.out.tfevents.1745270808.s_005_m.2836625.13 +3 -0
- train_results.json +9 -0
- trainer_state.json +214 -0
README.md
CHANGED
|
@@ -1,13 +1,28 @@
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
|
|
|
|
|
|
| 3 |
base_model: Hartunka/tiny_bert_km_5_v2
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
| 6 |
metrics:
|
| 7 |
- spearmanr
|
| 8 |
model-index:
|
| 9 |
- name: tiny_bert_km_5_v2_stsb
|
| 10 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
---
|
| 12 |
|
| 13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -15,12 +30,12 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# tiny_bert_km_5_v2_stsb
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [Hartunka/tiny_bert_km_5_v2](https://huggingface.co/Hartunka/tiny_bert_km_5_v2) on
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
-
- Loss: 2.
|
| 21 |
-
- Pearson: 0.
|
| 22 |
-
- Spearmanr: 0.
|
| 23 |
-
- Combined Score: 0.
|
| 24 |
|
| 25 |
## Model description
|
| 26 |
|
|
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
base_model: Hartunka/tiny_bert_km_5_v2
|
| 6 |
tags:
|
| 7 |
- generated_from_trainer
|
| 8 |
+
datasets:
|
| 9 |
+
- glue
|
| 10 |
metrics:
|
| 11 |
- spearmanr
|
| 12 |
model-index:
|
| 13 |
- name: tiny_bert_km_5_v2_stsb
|
| 14 |
+
results:
|
| 15 |
+
- task:
|
| 16 |
+
name: Text Classification
|
| 17 |
+
type: text-classification
|
| 18 |
+
dataset:
|
| 19 |
+
name: GLUE STSB
|
| 20 |
+
type: glue
|
| 21 |
+
args: stsb
|
| 22 |
+
metrics:
|
| 23 |
+
- name: Spearmanr
|
| 24 |
+
type: spearmanr
|
| 25 |
+
value: 0.2086240433941912
|
| 26 |
---
|
| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 30 |
|
| 31 |
# tiny_bert_km_5_v2_stsb
|
| 32 |
|
| 33 |
+
This model is a fine-tuned version of [Hartunka/tiny_bert_km_5_v2](https://huggingface.co/Hartunka/tiny_bert_km_5_v2) on the GLUE STSB dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 2.3479
|
| 36 |
+
- Pearson: 0.2208
|
| 37 |
+
- Spearmanr: 0.2086
|
| 38 |
+
- Combined Score: 0.2147
|
| 39 |
|
| 40 |
## Model description
|
| 41 |
|
all_results.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.0,
|
| 3 |
+
"eval_combined_score": 0.21473410605933732,
|
| 4 |
+
"eval_loss": 2.3479087352752686,
|
| 5 |
+
"eval_pearson": 0.22084416872448345,
|
| 6 |
+
"eval_runtime": 0.4695,
|
| 7 |
+
"eval_samples": 1500,
|
| 8 |
+
"eval_samples_per_second": 3194.956,
|
| 9 |
+
"eval_spearmanr": 0.2086240433941912,
|
| 10 |
+
"eval_steps_per_second": 12.78,
|
| 11 |
+
"total_flos": 1356793384840704.0,
|
| 12 |
+
"train_loss": 1.6471541676544337,
|
| 13 |
+
"train_runtime": 37.5069,
|
| 14 |
+
"train_samples": 5749,
|
| 15 |
+
"train_samples_per_second": 7663.93,
|
| 16 |
+
"train_steps_per_second": 30.661
|
| 17 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.0,
|
| 3 |
+
"eval_combined_score": 0.21473410605933732,
|
| 4 |
+
"eval_loss": 2.3479087352752686,
|
| 5 |
+
"eval_pearson": 0.22084416872448345,
|
| 6 |
+
"eval_runtime": 0.4695,
|
| 7 |
+
"eval_samples": 1500,
|
| 8 |
+
"eval_samples_per_second": 3194.956,
|
| 9 |
+
"eval_spearmanr": 0.2086240433941912,
|
| 10 |
+
"eval_steps_per_second": 12.78
|
| 11 |
+
}
|
logs/events.out.tfevents.1745270808.s_005_m.2836625.13
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2d6bbe716168385c5e34d302336c0316b3569a5b5c68cd5841579791cdadd491
|
| 3 |
+
size 473
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.0,
|
| 3 |
+
"total_flos": 1356793384840704.0,
|
| 4 |
+
"train_loss": 1.6471541676544337,
|
| 5 |
+
"train_runtime": 37.5069,
|
| 6 |
+
"train_samples": 5749,
|
| 7 |
+
"train_samples_per_second": 7663.93,
|
| 8 |
+
"train_steps_per_second": 30.661
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,214 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 92,
|
| 3 |
+
"best_metric": 2.3479087352752686,
|
| 4 |
+
"best_model_checkpoint": "tiny_bert_km_5_v2_stsb/checkpoint-92",
|
| 5 |
+
"epoch": 9.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 207,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 1.0,
|
| 14 |
+
"grad_norm": 3.2017595767974854,
|
| 15 |
+
"learning_rate": 4.9e-05,
|
| 16 |
+
"loss": 2.7925,
|
| 17 |
+
"step": 23
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 1.0,
|
| 21 |
+
"eval_combined_score": 0.11189326293514337,
|
| 22 |
+
"eval_loss": 2.3609859943389893,
|
| 23 |
+
"eval_pearson": 0.11928981153434301,
|
| 24 |
+
"eval_runtime": 0.4356,
|
| 25 |
+
"eval_samples_per_second": 3443.807,
|
| 26 |
+
"eval_spearmanr": 0.10449671433594372,
|
| 27 |
+
"eval_steps_per_second": 13.775,
|
| 28 |
+
"step": 23
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"epoch": 2.0,
|
| 32 |
+
"grad_norm": 3.0342791080474854,
|
| 33 |
+
"learning_rate": 4.8e-05,
|
| 34 |
+
"loss": 2.0233,
|
| 35 |
+
"step": 46
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"epoch": 2.0,
|
| 39 |
+
"eval_combined_score": 0.10503262884435496,
|
| 40 |
+
"eval_loss": 2.7264516353607178,
|
| 41 |
+
"eval_pearson": 0.10536681667826245,
|
| 42 |
+
"eval_runtime": 0.4819,
|
| 43 |
+
"eval_samples_per_second": 3112.724,
|
| 44 |
+
"eval_spearmanr": 0.10469844101044747,
|
| 45 |
+
"eval_steps_per_second": 12.451,
|
| 46 |
+
"step": 46
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 3.0,
|
| 50 |
+
"grad_norm": 3.3021488189697266,
|
| 51 |
+
"learning_rate": 4.7e-05,
|
| 52 |
+
"loss": 1.9375,
|
| 53 |
+
"step": 69
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 3.0,
|
| 57 |
+
"eval_combined_score": 0.15795839329801392,
|
| 58 |
+
"eval_loss": 2.3723838329315186,
|
| 59 |
+
"eval_pearson": 0.16413878451371774,
|
| 60 |
+
"eval_runtime": 0.5006,
|
| 61 |
+
"eval_samples_per_second": 2996.464,
|
| 62 |
+
"eval_spearmanr": 0.15177800208231013,
|
| 63 |
+
"eval_steps_per_second": 11.986,
|
| 64 |
+
"step": 69
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"epoch": 4.0,
|
| 68 |
+
"grad_norm": 12.65180778503418,
|
| 69 |
+
"learning_rate": 4.600000000000001e-05,
|
| 70 |
+
"loss": 1.8081,
|
| 71 |
+
"step": 92
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"epoch": 4.0,
|
| 75 |
+
"eval_combined_score": 0.21473410605933732,
|
| 76 |
+
"eval_loss": 2.3479087352752686,
|
| 77 |
+
"eval_pearson": 0.22084416872448345,
|
| 78 |
+
"eval_runtime": 0.4472,
|
| 79 |
+
"eval_samples_per_second": 3353.842,
|
| 80 |
+
"eval_spearmanr": 0.2086240433941912,
|
| 81 |
+
"eval_steps_per_second": 13.415,
|
| 82 |
+
"step": 92
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 5.0,
|
| 86 |
+
"grad_norm": 14.563904762268066,
|
| 87 |
+
"learning_rate": 4.5e-05,
|
| 88 |
+
"loss": 1.593,
|
| 89 |
+
"step": 115
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 5.0,
|
| 93 |
+
"eval_combined_score": 0.2341727272115602,
|
| 94 |
+
"eval_loss": 2.5032310485839844,
|
| 95 |
+
"eval_pearson": 0.23463414846011482,
|
| 96 |
+
"eval_runtime": 0.4639,
|
| 97 |
+
"eval_samples_per_second": 3233.596,
|
| 98 |
+
"eval_spearmanr": 0.2337113059630056,
|
| 99 |
+
"eval_steps_per_second": 12.934,
|
| 100 |
+
"step": 115
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 6.0,
|
| 104 |
+
"grad_norm": 16.085830688476562,
|
| 105 |
+
"learning_rate": 4.4000000000000006e-05,
|
| 106 |
+
"loss": 1.4271,
|
| 107 |
+
"step": 138
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 6.0,
|
| 111 |
+
"eval_combined_score": 0.2668894994914338,
|
| 112 |
+
"eval_loss": 2.3829503059387207,
|
| 113 |
+
"eval_pearson": 0.2663211377699541,
|
| 114 |
+
"eval_runtime": 0.461,
|
| 115 |
+
"eval_samples_per_second": 3253.99,
|
| 116 |
+
"eval_spearmanr": 0.26745786121291354,
|
| 117 |
+
"eval_steps_per_second": 13.016,
|
| 118 |
+
"step": 138
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"epoch": 7.0,
|
| 122 |
+
"grad_norm": 17.25328826904297,
|
| 123 |
+
"learning_rate": 4.3e-05,
|
| 124 |
+
"loss": 1.2196,
|
| 125 |
+
"step": 161
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 7.0,
|
| 129 |
+
"eval_combined_score": 0.3036982340745887,
|
| 130 |
+
"eval_loss": 2.367271900177002,
|
| 131 |
+
"eval_pearson": 0.3016266607369947,
|
| 132 |
+
"eval_runtime": 0.4595,
|
| 133 |
+
"eval_samples_per_second": 3264.444,
|
| 134 |
+
"eval_spearmanr": 0.3057698074121827,
|
| 135 |
+
"eval_steps_per_second": 13.058,
|
| 136 |
+
"step": 161
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 8.0,
|
| 140 |
+
"grad_norm": 19.59164810180664,
|
| 141 |
+
"learning_rate": 4.2e-05,
|
| 142 |
+
"loss": 1.0511,
|
| 143 |
+
"step": 184
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 8.0,
|
| 147 |
+
"eval_combined_score": 0.29420108006699475,
|
| 148 |
+
"eval_loss": 2.502896785736084,
|
| 149 |
+
"eval_pearson": 0.2914824122831241,
|
| 150 |
+
"eval_runtime": 0.5124,
|
| 151 |
+
"eval_samples_per_second": 2927.296,
|
| 152 |
+
"eval_spearmanr": 0.2969197478508654,
|
| 153 |
+
"eval_steps_per_second": 11.709,
|
| 154 |
+
"step": 184
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 9.0,
|
| 158 |
+
"grad_norm": 13.128865242004395,
|
| 159 |
+
"learning_rate": 4.1e-05,
|
| 160 |
+
"loss": 0.9721,
|
| 161 |
+
"step": 207
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 9.0,
|
| 165 |
+
"eval_combined_score": 0.29443550792517503,
|
| 166 |
+
"eval_loss": 2.524557113647461,
|
| 167 |
+
"eval_pearson": 0.2911705345450899,
|
| 168 |
+
"eval_runtime": 0.4558,
|
| 169 |
+
"eval_samples_per_second": 3290.86,
|
| 170 |
+
"eval_spearmanr": 0.29770048130526017,
|
| 171 |
+
"eval_steps_per_second": 13.163,
|
| 172 |
+
"step": 207
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 9.0,
|
| 176 |
+
"step": 207,
|
| 177 |
+
"total_flos": 1356793384840704.0,
|
| 178 |
+
"train_loss": 1.6471541676544337,
|
| 179 |
+
"train_runtime": 37.5069,
|
| 180 |
+
"train_samples_per_second": 7663.93,
|
| 181 |
+
"train_steps_per_second": 30.661
|
| 182 |
+
}
|
| 183 |
+
],
|
| 184 |
+
"logging_steps": 1,
|
| 185 |
+
"max_steps": 1150,
|
| 186 |
+
"num_input_tokens_seen": 0,
|
| 187 |
+
"num_train_epochs": 50,
|
| 188 |
+
"save_steps": 500,
|
| 189 |
+
"stateful_callbacks": {
|
| 190 |
+
"EarlyStoppingCallback": {
|
| 191 |
+
"args": {
|
| 192 |
+
"early_stopping_patience": 5,
|
| 193 |
+
"early_stopping_threshold": 0.0
|
| 194 |
+
},
|
| 195 |
+
"attributes": {
|
| 196 |
+
"early_stopping_patience_counter": 5
|
| 197 |
+
}
|
| 198 |
+
},
|
| 199 |
+
"TrainerControl": {
|
| 200 |
+
"args": {
|
| 201 |
+
"should_epoch_stop": false,
|
| 202 |
+
"should_evaluate": false,
|
| 203 |
+
"should_log": false,
|
| 204 |
+
"should_save": true,
|
| 205 |
+
"should_training_stop": true
|
| 206 |
+
},
|
| 207 |
+
"attributes": {}
|
| 208 |
+
}
|
| 209 |
+
},
|
| 210 |
+
"total_flos": 1356793384840704.0,
|
| 211 |
+
"train_batch_size": 256,
|
| 212 |
+
"trial_name": null,
|
| 213 |
+
"trial_params": null
|
| 214 |
+
}
|