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bert-base-uncased-answerable-or-not

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files
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End of training

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  1. README.md +16 -17
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
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  library_name: transformers
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- license: mit
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- base_model: FacebookAI/roberta-base
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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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  model-index:
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- - name: roberta-base-answerable-or-not-augmented
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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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  should probably proofread and complete it, then remove this comment. -->
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- # roberta-base-answerable-or-not-augmented
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- This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3072
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- - Accuracy: 0.9396
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  ## Model description
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@@ -49,16 +49,15 @@ The following hyperparameters were used during training:
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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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- | 0.3439 | 1.0 | 1367 | 0.3772 | 0.8858 |
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- | 0.2955 | 2.0 | 2734 | 0.3278 | 0.9199 |
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- | 0.2421 | 3.0 | 4101 | 0.3375 | 0.9272 |
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- | 0.1169 | 4.0 | 5468 | 0.3935 | 0.9265 |
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- | 0.0190 | 5.0 | 6835 | 0.3073 | 0.9393 |
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- | 0.2265 | 6.0 | 8202 | 0.4381 | 0.9283 |
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- | 0.0310 | 7.0 | 9569 | 0.3289 | 0.9352 |
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- | 0.0001 | 8.0 | 10936 | 0.4086 | 0.9371 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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+ license: apache-2.0
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+ base_model: google-bert/bert-base-uncased
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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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  model-index:
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+ - name: bert-base-uncased-answerable-or-not
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # bert-base-uncased-answerable-or-not
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+ This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/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: 0.0575
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+ - Accuracy: 0.9924
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  ## Model description
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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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+ | 0.1654 | 1.0 | 198 | 0.1760 | 0.9494 |
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+ | 0.1683 | 2.0 | 396 | 0.0854 | 0.9772 |
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+ | 0.0003 | 3.0 | 594 | 0.0871 | 0.9848 |
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+ | 0.0002 | 4.0 | 792 | 0.0575 | 0.9924 |
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+ | 0.0001 | 5.0 | 990 | 0.0621 | 0.9899 |
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+ | 0.0001 | 6.0 | 1188 | 0.0676 | 0.9899 |
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+ | 0.0001 | 7.0 | 1386 | 0.0668 | 0.9899 |
 
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  ### Framework versions
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