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KMB_SimCSE_test

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modernbert
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  1. README.md +33 -33
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@@ -1,7 +1,7 @@
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  ---
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  library_name: transformers
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  license: apache-2.0
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- base_model: x2bee/KoModernBERT-base-mlm-v03-ckp00
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -14,17 +14,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # KMB_SimCSE_test
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- This model is a fine-tuned version of [x2bee/KoModernBERT-base-mlm-v03-ckp00](https://huggingface.co/x2bee/KoModernBERT-base-mlm-v03-ckp00) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0466
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- - Pearson Cosine: 0.8138
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- - Spearman Cosine: 0.8155
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- - Pearson Manhattan: 0.8156
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- - Spearman Manhattan: 0.8244
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- - Pearson Euclidean: 0.8159
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- - Spearman Euclidean: 0.8248
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- - Pearson Dot: 0.7831
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- - Spearman Dot: 0.7815
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  ## Model description
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@@ -43,7 +43,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -59,27 +59,27 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Pearson Cosine | Spearman Cosine | Pearson Manhattan | Spearman Manhattan | Pearson Euclidean | Spearman Euclidean | Pearson Dot | Spearman Dot |
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  |:-------------:|:------:|:----:|:---------------:|:--------------:|:---------------:|:-----------------:|:------------------:|:-----------------:|:------------------:|:-----------:|:------------:|
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- | 0.6155 | 0.0469 | 100 | 0.0872 | 0.7869 | 0.7901 | 0.7884 | 0.7903 | 0.7895 | 0.7914 | 0.7575 | 0.7545 |
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- | 0.4415 | 0.0937 | 200 | 0.0599 | 0.8037 | 0.8063 | 0.8064 | 0.8128 | 0.8065 | 0.8128 | 0.7711 | 0.7711 |
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- | 0.4497 | 0.1406 | 300 | 0.0626 | 0.8158 | 0.8165 | 0.8107 | 0.8179 | 0.8109 | 0.8181 | 0.7944 | 0.7933 |
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- | 0.4479 | 0.1874 | 400 | 0.0646 | 0.8130 | 0.8152 | 0.8134 | 0.8209 | 0.8133 | 0.8209 | 0.7848 | 0.7852 |
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- | 0.4284 | 0.2343 | 500 | 0.0651 | 0.8051 | 0.8089 | 0.8066 | 0.8134 | 0.8067 | 0.8138 | 0.7820 | 0.7820 |
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- | 0.3853 | 0.2812 | 600 | 0.0571 | 0.8038 | 0.8084 | 0.8036 | 0.8107 | 0.8034 | 0.8104 | 0.7922 | 0.7949 |
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- | 0.3798 | 0.3280 | 700 | 0.0627 | 0.7998 | 0.8041 | 0.7968 | 0.8043 | 0.7963 | 0.8040 | 0.7824 | 0.7847 |
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- | 0.3615 | 0.3749 | 800 | 0.0563 | 0.8038 | 0.8047 | 0.8074 | 0.8113 | 0.8070 | 0.8107 | 0.7799 | 0.7773 |
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- | 0.3333 | 0.4217 | 900 | 0.0584 | 0.8054 | 0.8067 | 0.8051 | 0.8101 | 0.8051 | 0.8098 | 0.7824 | 0.7821 |
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- | 0.3693 | 0.4686 | 1000 | 0.0583 | 0.7878 | 0.7864 | 0.7686 | 0.7809 | 0.7679 | 0.7804 | 0.7796 | 0.7773 |
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- | 0.3623 | 0.5155 | 1100 | 0.0574 | 0.8054 | 0.8090 | 0.8054 | 0.8116 | 0.8054 | 0.8116 | 0.7882 | 0.7907 |
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- | 0.3795 | 0.5623 | 1200 | 0.0592 | 0.8028 | 0.8065 | 0.8075 | 0.8133 | 0.8069 | 0.8122 | 0.7769 | 0.7771 |
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- | 0.3053 | 0.6092 | 1300 | 0.0460 | 0.8208 | 0.8220 | 0.8163 | 0.8238 | 0.8166 | 0.8240 | 0.8059 | 0.8056 |
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- | 0.3254 | 0.6560 | 1400 | 0.0519 | 0.8104 | 0.8132 | 0.8115 | 0.8189 | 0.8119 | 0.8194 | 0.7882 | 0.7892 |
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- | 0.3399 | 0.7029 | 1500 | 0.0482 | 0.8192 | 0.8200 | 0.8162 | 0.8242 | 0.8162 | 0.8238 | 0.8010 | 0.8003 |
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- | 0.3418 | 0.7498 | 1600 | 0.0507 | 0.8195 | 0.8227 | 0.8185 | 0.8248 | 0.8191 | 0.8252 | 0.7973 | 0.7978 |
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- | 0.329 | 0.7966 | 1700 | 0.0490 | 0.8062 | 0.8075 | 0.8066 | 0.8125 | 0.8070 | 0.8131 | 0.7809 | 0.7785 |
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- | 0.2774 | 0.8435 | 1800 | 0.0436 | 0.8131 | 0.8136 | 0.8124 | 0.8212 | 0.8124 | 0.8213 | 0.7812 | 0.7793 |
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- | 0.3113 | 0.8903 | 1900 | 0.0503 | 0.8192 | 0.8219 | 0.8187 | 0.8256 | 0.8191 | 0.8260 | 0.7944 | 0.7945 |
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- | 0.3495 | 0.9372 | 2000 | 0.0519 | 0.8079 | 0.8110 | 0.8123 | 0.8184 | 0.8121 | 0.8183 | 0.7810 | 0.7810 |
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- | 0.3015 | 0.9841 | 2100 | 0.0466 | 0.8138 | 0.8155 | 0.8156 | 0.8244 | 0.8159 | 0.8248 | 0.7831 | 0.7815 |
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  ### Framework versions
 
1
  ---
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  library_name: transformers
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  license: apache-2.0
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+ base_model: x2bee/KoModernBERT-base-mlm-v03-retry-ckp02
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # KMB_SimCSE_test
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+ This model is a fine-tuned version of [x2bee/KoModernBERT-base-mlm-v03-retry-ckp02](https://huggingface.co/x2bee/KoModernBERT-base-mlm-v03-retry-ckp02) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0463
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+ - Pearson Cosine: 0.8264
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+ - Spearman Cosine: 0.8281
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+ - Pearson Manhattan: 0.8304
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+ - Spearman Manhattan: 0.8368
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+ - Pearson Euclidean: 0.8298
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+ - Spearman Euclidean: 0.8363
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+ - Pearson Dot: 0.7651
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+ - Spearman Dot: 0.7620
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Pearson Cosine | Spearman Cosine | Pearson Manhattan | Spearman Manhattan | Pearson Euclidean | Spearman Euclidean | Pearson Dot | Spearman Dot |
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  |:-------------:|:------:|:----:|:---------------:|:--------------:|:---------------:|:-----------------:|:------------------:|:-----------------:|:------------------:|:-----------:|:------------:|
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+ | 0.6339 | 0.0469 | 100 | 0.0942 | 0.7833 | 0.7817 | 0.7822 | 0.7875 | 0.7816 | 0.7865 | 0.7100 | 0.7029 |
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+ | 0.448 | 0.0937 | 200 | 0.0808 | 0.7856 | 0.7882 | 0.7887 | 0.7945 | 0.7873 | 0.7930 | 0.7399 | 0.7354 |
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+ | 0.427 | 0.1406 | 300 | 0.0699 | 0.8037 | 0.8029 | 0.8021 | 0.8090 | 0.8010 | 0.8077 | 0.7505 | 0.7461 |
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+ | 0.4052 | 0.1874 | 400 | 0.0616 | 0.8109 | 0.8096 | 0.8094 | 0.8143 | 0.8080 | 0.8128 | 0.7663 | 0.7620 |
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+ | 0.4023 | 0.2343 | 500 | 0.0612 | 0.8109 | 0.8135 | 0.8133 | 0.8187 | 0.8113 | 0.8168 | 0.7739 | 0.7705 |
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+ | 0.3754 | 0.2812 | 600 | 0.0595 | 0.8105 | 0.8125 | 0.8101 | 0.8162 | 0.8087 | 0.8146 | 0.7706 | 0.7681 |
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+ | 0.3729 | 0.3280 | 700 | 0.0619 | 0.8155 | 0.8176 | 0.8144 | 0.8212 | 0.8128 | 0.8196 | 0.7761 | 0.7736 |
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+ | 0.341 | 0.3749 | 800 | 0.0530 | 0.8137 | 0.8155 | 0.8201 | 0.8246 | 0.8190 | 0.8234 | 0.7696 | 0.7663 |
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+ | 0.3161 | 0.4217 | 900 | 0.0568 | 0.8162 | 0.8182 | 0.8209 | 0.8262 | 0.8198 | 0.8252 | 0.7660 | 0.7625 |
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+ | 0.3122 | 0.4686 | 1000 | 0.0541 | 0.8215 | 0.8236 | 0.8220 | 0.8284 | 0.8207 | 0.8268 | 0.7790 | 0.7745 |
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+ | 0.3301 | 0.5155 | 1100 | 0.0617 | 0.8116 | 0.8150 | 0.8177 | 0.8228 | 0.8161 | 0.8212 | 0.7638 | 0.7598 |
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+ | 0.3637 | 0.5623 | 1200 | 0.0532 | 0.8108 | 0.8145 | 0.8175 | 0.8222 | 0.8156 | 0.8202 | 0.7681 | 0.7643 |
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+ | 0.2885 | 0.6092 | 1300 | 0.0451 | 0.8272 | 0.8278 | 0.8275 | 0.8324 | 0.8268 | 0.8318 | 0.7925 | 0.7888 |
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+ | 0.2852 | 0.6560 | 1400 | 0.0473 | 0.8246 | 0.8264 | 0.8228 | 0.8281 | 0.8221 | 0.8275 | 0.7893 | 0.7874 |
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+ | 0.3225 | 0.7029 | 1500 | 0.0507 | 0.8259 | 0.8284 | 0.8274 | 0.8335 | 0.8263 | 0.8325 | 0.7737 | 0.7708 |
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+ | 0.3201 | 0.7498 | 1600 | 0.0467 | 0.8248 | 0.8268 | 0.8232 | 0.8282 | 0.8222 | 0.8274 | 0.7800 | 0.7772 |
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+ | 0.3199 | 0.7966 | 1700 | 0.0511 | 0.8215 | 0.8239 | 0.8266 | 0.8322 | 0.8257 | 0.8308 | 0.7702 | 0.7658 |
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+ | 0.2431 | 0.8435 | 1800 | 0.0482 | 0.8271 | 0.8287 | 0.8282 | 0.8333 | 0.8277 | 0.8326 | 0.7791 | 0.7749 |
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+ | 0.3051 | 0.8903 | 1900 | 0.0465 | 0.8277 | 0.8295 | 0.8257 | 0.8324 | 0.8249 | 0.8319 | 0.7814 | 0.7782 |
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+ | 0.3287 | 0.9372 | 2000 | 0.0551 | 0.8207 | 0.8244 | 0.8238 | 0.8296 | 0.8229 | 0.8287 | 0.7620 | 0.7569 |
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+ | 0.2889 | 0.9841 | 2100 | 0.0463 | 0.8264 | 0.8281 | 0.8304 | 0.8368 | 0.8298 | 0.8363 | 0.7651 | 0.7620 |
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  ### Framework versions