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kalai_bert_model_test_4

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README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5405
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- - Accuracy: 0.7643
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  ## Model description
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@@ -43,15 +43,22 @@ The following hyperparameters were used during training:
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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: 3
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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 | 355 | 0.5661 | 0.7481 |
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- | 0.6783 | 2.0 | 710 | 0.5405 | 0.7643 |
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- | 0.4391 | 3.0 | 1065 | 0.5681 | 0.7678 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4995
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+ - Accuracy: 0.7833
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  ## Model description
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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 | 355 | 0.5751 | 0.7424 |
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+ | 0.6685 | 2.0 | 710 | 0.4995 | 0.7833 |
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+ | 0.4105 | 3.0 | 1065 | 0.5366 | 0.7826 |
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+ | 0.4105 | 4.0 | 1420 | 0.6784 | 0.7784 |
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+ | 0.2443 | 5.0 | 1775 | 0.7940 | 0.7812 |
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+ | 0.1393 | 6.0 | 2130 | 0.9600 | 0.7826 |
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+ | 0.1393 | 7.0 | 2485 | 1.0671 | 0.7763 |
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+ | 0.0921 | 8.0 | 2840 | 1.1389 | 0.7812 |
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+ | 0.0456 | 9.0 | 3195 | 1.2180 | 0.7826 |
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+ | 0.0297 | 10.0 | 3550 | 1.2229 | 0.7791 |
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  ### Framework versions
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