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End of training

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  1. README.md +11 -11
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@@ -25,16 +25,16 @@ model-index:
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  metrics:
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  - name: Precision
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  type: precision
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- value: 0.5026595744680851
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  - name: Recall
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  type: recall
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- value: 0.35032437442076
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  - name: F1
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  type: f1
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- value: 0.4128891316220644
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  - name: Accuracy
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  type: accuracy
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- value: 0.9433542815612842
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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
@@ -44,11 +44,11 @@ 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 the wnut_17 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2928
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- - Precision: 0.5027
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- - Recall: 0.3503
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- - F1: 0.4129
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- - Accuracy: 0.9434
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 107 | 0.2738 | 0.4273 | 0.4004 | 0.4134 | 0.9407 |
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- | No log | 2.0 | 214 | 0.2928 | 0.5027 | 0.3503 | 0.4129 | 0.9434 |
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  ### Framework versions
 
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  metrics:
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  - name: Precision
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  type: precision
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+ value: 0.4609164420485175
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  - name: Recall
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  type: recall
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+ value: 0.15848007414272475
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  - name: F1
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  type: f1
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+ value: 0.23586206896551726
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9349322388953016
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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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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the wnut_17 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3042
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+ - Precision: 0.4609
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+ - Recall: 0.1585
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+ - F1: 0.2359
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+ - Accuracy: 0.9349
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 107 | 0.3166 | 0.1639 | 0.0093 | 0.0175 | 0.9275 |
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+ | No log | 2.0 | 214 | 0.3042 | 0.4609 | 0.1585 | 0.2359 | 0.9349 |
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  ### Framework versions