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End of training

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README.md CHANGED
@@ -5,21 +5,25 @@ base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
 
 
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  - f1
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  model-index:
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- - name: HFmodels
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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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- # HFmodels
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1993
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- - F1: 0.7031
 
 
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  ## Model description
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@@ -44,14 +48,17 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 2
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 |
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- |:-------------:|:-----:|:-----:|:---------------:|:------:|
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- | 0.2065 | 1.0 | 9229 | 0.1993 | 0.7031 |
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- | 0.1517 | 2.0 | 18458 | 0.2142 | 0.7166 |
 
 
 
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  metrics:
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+ - precision
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+ - recall
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  - f1
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  model-index:
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+ - name: amazon_sentiment_clfn
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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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+ # amazon_sentiment_clfn
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2018
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+ - Precision: 0.7804
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+ - Recall: 0.6077
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+ - F1: 0.6833
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|
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+ | 0.2019 | 1.0 | 9229 | 0.2018 | 0.7804 | 0.6077 | 0.6833 |
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+ | 0.1714 | 2.0 | 18458 | 0.2170 | 0.7279 | 0.7191 | 0.7234 |
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+ | 0.1337 | 3.0 | 27687 | 0.2890 | 0.7035 | 0.7220 | 0.7126 |
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+ | 0.0895 | 4.0 | 36916 | 0.3820 | 0.7291 | 0.6881 | 0.7080 |
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+ | 0.0693 | 5.0 | 46145 | 0.4428 | 0.7309 | 0.6824 | 0.7058 |
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  ### Framework versions
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