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bert_base_lda_100_v1_stsb

Text Classification
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distilbert
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  1. README.md +20 -37
  2. logs/events.out.tfevents.1733317372.ki-g0008.1208741.12 +2 -2
  3. model.safetensors +1 -1
README.md CHANGED
@@ -1,28 +1,13 @@
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  ---
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  library_name: transformers
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- language:
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- - en
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  base_model: gokulsrinivasagan/bert_base_lda_100_v1
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  tags:
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  - generated_from_trainer
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- datasets:
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- - glue
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  metrics:
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  - spearmanr
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  model-index:
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  - name: bert_base_lda_100_v1_stsb
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- results:
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- - task:
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- name: Text Classification
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- type: text-classification
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- dataset:
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- name: GLUE STSB
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- type: glue
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- args: stsb
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- metrics:
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- - name: Spearmanr
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- type: spearmanr
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- value: .nan
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert_base_lda_100_v1_stsb
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- This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_100_v1) on the GLUE STSB dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3028
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- - Pearson: nan
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- - Spearmanr: nan
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- - Combined Score: nan
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  ## Model description
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@@ -54,7 +39,7 @@ 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: 0.001
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  - train_batch_size: 256
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  - eval_batch_size: 256
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  - seed: 10
@@ -66,21 +51,19 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
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- | 5.4876 | 1.0 | 23 | 2.5971 | nan | nan | nan |
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- | 2.2047 | 2.0 | 46 | 2.3759 | nan | nan | nan |
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- | 2.2017 | 3.0 | 69 | 2.4512 | nan | nan | nan |
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- | 2.1807 | 4.0 | 92 | 2.4512 | nan | nan | nan |
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- | 2.1807 | 5.0 | 115 | 2.5112 | nan | nan | nan |
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- | 2.196 | 6.0 | 138 | 2.3448 | nan | nan | nan |
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- | 2.1902 | 7.0 | 161 | 2.7164 | nan | nan | nan |
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- | 2.1899 | 8.0 | 184 | 2.6349 | nan | nan | nan |
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- | 2.1962 | 9.0 | 207 | 2.3354 | nan | nan | nan |
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- | 2.1802 | 10.0 | 230 | 2.3028 | nan | nan | nan |
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- | 2.1945 | 11.0 | 253 | 2.7164 | nan | nan | nan |
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- | 2.1932 | 12.0 | 276 | 2.7380 | nan | nan | nan |
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- | 2.206 | 13.0 | 299 | 2.7380 | nan | nan | nan |
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- | 2.1965 | 14.0 | 322 | 2.6546 | nan | nan | nan |
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- | 2.1794 | 15.0 | 345 | 2.4802 | nan | nan | nan |
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  ### Framework versions
 
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  ---
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  library_name: transformers
 
 
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  base_model: gokulsrinivasagan/bert_base_lda_100_v1
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - spearmanr
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  model-index:
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  - name: bert_base_lda_100_v1_stsb
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+ results: []
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # bert_base_lda_100_v1_stsb
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+ This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_100_v1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0560
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+ - Pearson: 0.5304
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+ - Spearmanr: 0.5350
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+ - Combined Score: 0.5327
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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: 256
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  - eval_batch_size: 256
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  - seed: 10
 
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  | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
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+ | 2.7331 | 1.0 | 23 | 2.6189 | 0.0643 | 0.0760 | 0.0701 |
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+ | 1.9804 | 2.0 | 46 | 2.0897 | 0.2818 | 0.2688 | 0.2753 |
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+ | 1.7486 | 3.0 | 69 | 1.9471 | 0.4158 | 0.4153 | 0.4155 |
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+ | 1.2963 | 4.0 | 92 | 2.3058 | 0.4520 | 0.4674 | 0.4597 |
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+ | 1.0162 | 5.0 | 115 | 1.8442 | 0.4887 | 0.4888 | 0.4888 |
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+ | 0.8446 | 6.0 | 138 | 1.7664 | 0.5228 | 0.5290 | 0.5259 |
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+ | 0.6767 | 7.0 | 161 | 1.7574 | 0.5152 | 0.5185 | 0.5168 |
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+ | 0.5349 | 8.0 | 184 | 1.6844 | 0.5330 | 0.5325 | 0.5328 |
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+ | 0.4606 | 9.0 | 207 | 1.9862 | 0.5039 | 0.5084 | 0.5062 |
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+ | 0.3951 | 10.0 | 230 | 1.8024 | 0.5266 | 0.5275 | 0.5270 |
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+ | 0.3624 | 11.0 | 253 | 2.0157 | 0.5342 | 0.5423 | 0.5382 |
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+ | 0.3087 | 12.0 | 276 | 2.4094 | 0.5227 | 0.5385 | 0.5306 |
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+ | 0.2879 | 13.0 | 299 | 2.0560 | 0.5304 | 0.5350 | 0.5327 |
 
 
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  ### Framework versions
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