vishalk4u commited on
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End of training

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README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
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  base_model: bert-base-cased
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: liar_binaryclassifier_bert_cased
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  results: []
@@ -15,12 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.6935
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- - eval_accuracy: 0.5423
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- - eval_runtime: 2.2957
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- - eval_samples_per_second: 200.809
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- - eval_steps_per_second: 25.264
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- - step: 0
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  ## Model description
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@@ -47,6 +45,17 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 5
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  ### Framework versions
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  - Transformers 4.40.0
 
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  base_model: bert-base-cased
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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: liar_binaryclassifier_bert_cased
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  results: []
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6346
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+ - Accuracy: 0.6681
 
 
 
 
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  ## Model description
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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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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6765 | 1.0 | 461 | 0.6442 | 0.6443 |
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+ | 0.635 | 2.0 | 922 | 0.6264 | 0.6573 |
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+ | 0.6008 | 3.0 | 1383 | 0.6301 | 0.6551 |
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+ | 0.5805 | 4.0 | 1844 | 0.6306 | 0.6573 |
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+ | 0.5658 | 5.0 | 2305 | 0.6346 | 0.6681 |
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+
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+
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  ### Framework versions
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  - Transformers 4.40.0
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