stevendee5 commited on
Commit
f97df1d
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1 Parent(s): 83af301

End of training

Browse files
README.md CHANGED
@@ -23,10 +23,10 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8633333333333333
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  - name: F1
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  type: f1
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- value: 0.8637873754152824
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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
@@ -36,9 +36,9 @@ 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 imdb dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3386
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- - Accuracy: 0.8633
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- - F1: 0.8638
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  ## Model description
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@@ -71,7 +71,7 @@ The following hyperparameters were used during training:
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  ### Framework versions
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- - Transformers 4.34.1
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  - Pytorch 2.1.0+cu118
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- - Datasets 2.14.6
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- - Tokenizers 0.14.1
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.87
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  - name: F1
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  type: f1
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+ value: 0.8737864077669903
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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 imdb dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3067
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+ - Accuracy: 0.87
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+ - F1: 0.8738
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  ## Model description
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  ### Framework versions
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+ - Transformers 4.36.0.dev0
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  - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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@@ -20,6 +20,6 @@
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  }
 
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  "sinusoidal_pos_embds": false,
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  "torch_dtype": "float32",
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  "vocab_size": 30522
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