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README.md CHANGED
@@ -1,32 +1,14 @@
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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_5_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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  - accuracy
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  - f1
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  model-index:
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  - name: bert_base_lda_5_v1_qqp
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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 QQP
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- type: glue
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- args: qqp
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.6318327974276527
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- - name: F1
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- type: f1
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- value: 0.0
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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
@@ -34,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert_base_lda_5_v1_qqp
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- This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on the GLUE QQP dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6573
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- - Accuracy: 0.6318
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- - F1: 0.0
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- - Combined Score: 0.3159
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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 results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:--------------:|
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- | 0.6633 | 1.0 | 1422 | 0.6573 | 0.6318 | 0.0 | 0.3159 |
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- | 0.6589 | 2.0 | 2844 | 0.6580 | 0.6318 | 0.0 | 0.3159 |
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- | 0.6797 | 3.0 | 4266 | 0.6582 | 0.6318 | 0.0 | 0.3159 |
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- | 0.6585 | 4.0 | 5688 | 0.6574 | 0.6318 | 0.0 | 0.3159 |
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- | 0.6585 | 5.0 | 7110 | 0.6574 | 0.6318 | 0.0 | 0.3159 |
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- | 0.6585 | 6.0 | 8532 | 0.6580 | 0.6318 | 0.0 | 0.3159 |
 
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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_5_v1
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - accuracy
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  - f1
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  model-index:
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  - name: bert_base_lda_5_v1_qqp
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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_5_v1_qqp
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+ This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5420
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+ - Accuracy: 0.8560
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+ - F1: 0.8002
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+ - Combined Score: 0.8281
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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 results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
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+ | 0.449 | 1.0 | 1422 | 0.3986 | 0.8140 | 0.7293 | 0.7717 |
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+ | 0.3328 | 2.0 | 2844 | 0.3662 | 0.8379 | 0.7796 | 0.8087 |
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+ | 0.2532 | 3.0 | 4266 | 0.3697 | 0.8430 | 0.7975 | 0.8202 |
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+ | 0.1908 | 4.0 | 5688 | 0.4016 | 0.8528 | 0.7973 | 0.8250 |
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+ | 0.1448 | 5.0 | 7110 | 0.4637 | 0.8542 | 0.7932 | 0.8237 |
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+ | 0.112 | 6.0 | 8532 | 0.4905 | 0.8572 | 0.8037 | 0.8304 |
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+ | 0.0917 | 7.0 | 9954 | 0.5420 | 0.8560 | 0.8002 | 0.8281 |
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  ### Framework versions
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