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bert_base_lda_50_v1_stsb

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distilbert
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  1. README.md +18 -30
  2. logs/events.out.tfevents.1733317344.ki-g0008.1207984.12 +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_50_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_50_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_50_v1_stsb
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- This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_50_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_50_v1) on the GLUE STSB dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.2730
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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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  ### 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
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  | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
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- | 6.0649 | 1.0 | 23 | 2.3650 | nan | nan | nan |
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- | 2.2353 | 2.0 | 46 | 2.9028 | nan | nan | nan |
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- | 2.2088 | 3.0 | 69 | 2.2730 | nan | nan | nan |
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- | 2.2442 | 4.0 | 92 | 2.3650 | nan | nan | nan |
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- | 2.186 | 5.0 | 115 | 2.5441 | nan | nan | nan |
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- | 2.2071 | 6.0 | 138 | 2.3354 | nan | nan | nan |
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- | 2.1952 | 7.0 | 161 | 2.5613 | nan | nan | nan |
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- | 2.1895 | 8.0 | 184 | 2.6158 | 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_50_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_50_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_50_v1_stsb
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+ This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_50_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_50_v1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0050
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+ - Pearson: 0.5558
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+ - Spearmanr: 0.5493
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+ - Combined Score: 0.5526
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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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+ | 2.6627 | 1.0 | 23 | 2.5606 | 0.0619 | 0.0680 | 0.0649 |
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+ | 1.9634 | 2.0 | 46 | 2.0866 | 0.3208 | 0.2992 | 0.3100 |
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+ | 1.5146 | 3.0 | 69 | 1.9855 | 0.4821 | 0.4690 | 0.4756 |
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+ | 1.0707 | 4.0 | 92 | 2.3493 | 0.4693 | 0.4790 | 0.4741 |
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+ | 0.8577 | 5.0 | 115 | 1.7066 | 0.5352 | 0.5293 | 0.5322 |
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+ | 0.6288 | 6.0 | 138 | 1.6371 | 0.5607 | 0.5589 | 0.5598 |
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+ | 0.5403 | 7.0 | 161 | 1.6740 | 0.5636 | 0.5593 | 0.5614 |
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+ | 0.4198 | 8.0 | 184 | 1.7393 | 0.5655 | 0.5612 | 0.5634 |
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+ | 0.3618 | 9.0 | 207 | 1.6963 | 0.5446 | 0.5344 | 0.5395 |
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+ | 0.3216 | 10.0 | 230 | 1.6674 | 0.5594 | 0.5517 | 0.5555 |
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+ | 0.2733 | 11.0 | 253 | 2.0050 | 0.5558 | 0.5493 | 0.5526 |
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  ### Framework versions
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