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bert_base_lda_50_v1_mrpc

Text Classification
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distilbert
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  1. README.md +14 -40
  2. logs/events.out.tfevents.1733309511.ki-g0008.1207984.2 +2 -2
  3. model.safetensors +1 -1
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_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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  - accuracy
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  - f1
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  model-index:
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  - name: bert_base_lda_50_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_50_v1_mrpc
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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 MRPC dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6226
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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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  ### 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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- | 1.9018 | 1.0 | 15 | 1.7469 | 0.3162 | 0.0 | 0.1581 |
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- | 0.7758 | 2.0 | 30 | 0.7136 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6464 | 3.0 | 45 | 0.6402 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6412 | 4.0 | 60 | 0.6261 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6318 | 5.0 | 75 | 0.6251 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6352 | 6.0 | 90 | 0.6246 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.635 | 7.0 | 105 | 0.6256 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.634 | 8.0 | 120 | 0.6244 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6297 | 9.0 | 135 | 0.6349 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6357 | 10.0 | 150 | 0.6226 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6341 | 11.0 | 165 | 0.6256 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6333 | 12.0 | 180 | 0.6250 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6309 | 13.0 | 195 | 0.6240 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6343 | 14.0 | 210 | 0.6259 | 0.6838 | 0.8122 | 0.7480 |
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- | 0.6328 | 15.0 | 225 | 0.6254 | 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_50_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_50_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_50_v1_mrpc
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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: 1.0029
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+ - Accuracy: 0.6961
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+ - F1: 0.7898
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+ - Combined Score: 0.7430
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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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+ | 0.669 | 1.0 | 15 | 0.6217 | 0.6814 | 0.8071 | 0.7442 |
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+ | 0.6174 | 2.0 | 30 | 0.6034 | 0.6936 | 0.8086 | 0.7511 |
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+ | 0.5792 | 3.0 | 45 | 0.6053 | 0.7010 | 0.8179 | 0.7594 |
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+ | 0.5085 | 4.0 | 60 | 0.6419 | 0.6740 | 0.7542 | 0.7141 |
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+ | 0.373 | 5.0 | 75 | 0.7499 | 0.7083 | 0.8102 | 0.7593 |
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+ | 0.2611 | 6.0 | 90 | 0.9077 | 0.6495 | 0.7327 | 0.6911 |
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+ | 0.1835 | 7.0 | 105 | 1.0029 | 0.6961 | 0.7898 | 0.7430 |
 
 
 
 
 
 
 
 
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  ### Framework versions
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