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README.md CHANGED
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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_mrpc
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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 MRPC
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- type: glue
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- args: mrpc
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.6838235294117647
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- - name: F1
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- type: f1
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- value: 0.8122270742358079
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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_mrpc
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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 MRPC dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6233
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- - Accuracy: 0.6838
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- - F1: 0.8122
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- - Combined Score: 0.7480
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  ## Model description
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@@ -58,7 +40,7 @@ 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
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
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- | 1.0376 | 1.0 | 15 | 0.7410 | 0.3162 | 0.0 | 0.1581 |
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- | 0.678 | 2.0 | 30 | 0.6506 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6399 | 3.0 | 45 | 0.6326 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6393 | 4.0 | 60 | 0.6250 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6352 | 5.0 | 75 | 0.6242 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6324 | 6.0 | 90 | 0.6233 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.634 | 7.0 | 105 | 0.6234 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.635 | 8.0 | 120 | 0.6259 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.63 | 9.0 | 135 | 0.6309 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6355 | 10.0 | 150 | 0.6265 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.634 | 11.0 | 165 | 0.6277 | 0.6838 | 0.8122 | 0.7480 |
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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_mrpc
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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_mrpc
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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: 1.3058
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+ - Accuracy: 0.6569
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+ - F1: 0.7595
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+ - Combined Score: 0.7082
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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 | Accuracy | F1 | Combined Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
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+ | 0.6475 | 1.0 | 15 | 0.5919 | 0.6985 | 0.8099 | 0.7542 |
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+ | 0.5596 | 2.0 | 30 | 0.5821 | 0.7108 | 0.8040 | 0.7574 |
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+ | 0.4573 | 3.0 | 45 | 0.6319 | 0.6593 | 0.7549 | 0.7071 |
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+ | 0.3282 | 4.0 | 60 | 0.8021 | 0.6299 | 0.7156 | 0.6728 |
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+ | 0.1884 | 5.0 | 75 | 0.9919 | 0.6471 | 0.7517 | 0.6994 |
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+ | 0.0919 | 6.0 | 90 | 1.1951 | 0.6740 | 0.7679 | 0.7210 |
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+ | 0.0649 | 7.0 | 105 | 1.3058 | 0.6569 | 0.7595 | 0.7082 |
 
 
 
 
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  ### Framework versions
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