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Intradiction
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BERT-SA-LORA

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Safetensors
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  1. README.md +10 -15
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4183
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- - Accuracy: 0.868
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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  - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 125 | 0.6192 | 0.682 |
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- | No log | 2.0 | 250 | 0.4579 | 0.79 |
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- | No log | 3.0 | 375 | 0.3820 | 0.844 |
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- | 0.4923 | 4.0 | 500 | 0.3872 | 0.865 |
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- | 0.4923 | 5.0 | 625 | 0.3659 | 0.862 |
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- | 0.4923 | 6.0 | 750 | 0.4615 | 0.853 |
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- | 0.4923 | 7.0 | 875 | 0.4444 | 0.86 |
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- | 0.2691 | 8.0 | 1000 | 0.4148 | 0.871 |
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- | 0.2691 | 9.0 | 1125 | 0.4089 | 0.87 |
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- | 0.2691 | 10.0 | 1250 | 0.4183 | 0.868 |
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  ### Framework versions
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  - PEFT 0.9.0
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  - Transformers 4.38.2
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- - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3017
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+ - Accuracy: 0.8943
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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  - train_batch_size: 8
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+ - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 375 | 0.3246 | 0.8687 |
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+ | 0.5095 | 2.0 | 750 | 0.3154 | 0.8803 |
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+ | 0.3046 | 3.0 | 1125 | 0.2957 | 0.888 |
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+ | 0.2754 | 4.0 | 1500 | 0.2971 | 0.8937 |
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+ | 0.2754 | 5.0 | 1875 | 0.3017 | 0.8943 |
 
 
 
 
 
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  ### Framework versions
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  - PEFT 0.9.0
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  - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu118
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
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