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End of training

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README.md CHANGED
@@ -15,11 +15,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 1.5101
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  ## Model description
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- trained on imbdb test dataset using **masking token**
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  ## Intended uses & limitations
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@@ -40,16 +40,18 @@ 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: 3.0
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.8801 | 1.0 | 157 | 2.1948 |
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- | 2.0388 | 2.0 | 314 | 1.6756 |
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- | 1.7271 | 3.0 | 471 | 1.5238 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 2.8404
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  ## Model description
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+ More information needed
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  ## Intended uses & limitations
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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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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.2719 | 1.0 | 157 | 2.8576 |
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+ | 3.2189 | 2.0 | 314 | 2.8511 |
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+ | 3.1729 | 3.0 | 471 | 2.8218 |
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+ | 3.1595 | 4.0 | 628 | 2.8142 |
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+ | 3.1337 | 5.0 | 785 | 2.8536 |
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  ### Framework versions
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