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bert_tiny_lda_100_v1_qqp

Text Classification
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distilbert
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  1. README.md +20 -35
  2. logs/events.out.tfevents.1733324663.ki-g0008.1208741.24 +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_tiny_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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  - accuracy
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  - f1
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  model-index:
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  - name: bert_tiny_lda_100_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_tiny_lda_100_v1_qqp
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- This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_v1) on the GLUE QQP dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6569
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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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- | 0.6613 | 1.0 | 1422 | 0.6580 | 0.6318 | 0.0 | 0.3159 |
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- | 0.6591 | 2.0 | 2844 | 0.6584 | 0.6318 | 0.0 | 0.3159 |
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- | 0.6587 | 3.0 | 4266 | 0.6569 | 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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- | 0.6585 | 7.0 | 9954 | 0.6573 | 0.6318 | 0.0 | 0.3159 |
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- | 0.6585 | 8.0 | 11376 | 0.6573 | 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_tiny_lda_100_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_tiny_lda_100_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_tiny_lda_100_v1_qqp
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+ This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_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: 0.4678
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+ - Accuracy: 0.8567
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+ - F1: 0.8093
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+ - Combined Score: 0.8330
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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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+ | 0.4874 | 1.0 | 1422 | 0.4274 | 0.7980 | 0.7125 | 0.7553 |
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+ | 0.388 | 2.0 | 2844 | 0.3786 | 0.8224 | 0.7726 | 0.7975 |
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+ | 0.3354 | 3.0 | 4266 | 0.3613 | 0.8372 | 0.7899 | 0.8136 |
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+ | 0.2928 | 4.0 | 5688 | 0.3564 | 0.8447 | 0.7830 | 0.8139 |
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+ | 0.2583 | 5.0 | 7110 | 0.3614 | 0.8509 | 0.7997 | 0.8253 |
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+ | 0.2277 | 6.0 | 8532 | 0.3551 | 0.8543 | 0.8063 | 0.8303 |
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+ | 0.2014 | 7.0 | 9954 | 0.3854 | 0.8552 | 0.8093 | 0.8322 |
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+ | 0.1784 | 8.0 | 11376 | 0.3979 | 0.8545 | 0.8064 | 0.8305 |
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+ | 0.1578 | 9.0 | 12798 | 0.4261 | 0.8558 | 0.8102 | 0.8330 |
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+ | 0.1403 | 10.0 | 14220 | 0.4443 | 0.8588 | 0.8108 | 0.8348 |
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+ | 0.1246 | 11.0 | 15642 | 0.4678 | 0.8567 | 0.8093 | 0.8330 |
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  ### Framework versions
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