vedantjumle commited on
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Training in progress epoch 0

Browse files
Files changed (5) hide show
  1. README.md +7 -11
  2. added_tokens.json +7 -0
  3. config.json +121 -121
  4. tf_model.h5 +2 -2
  5. tokenizer_config.json +43 -0
README.md CHANGED
@@ -15,10 +15,10 @@ 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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- - Train Loss: 0.3125
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- - Validation Loss: 0.5946
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- - Train Accuracy: 0.8549
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- - Epoch: 4
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  ## Model description
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@@ -44,16 +44,12 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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- | 2.3373 | 1.2016 | 0.7546 | 0 |
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- | 0.8827 | 0.7496 | 0.8309 | 1 |
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- | 0.5245 | 0.6397 | 0.8462 | 2 |
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- | 0.3795 | 0.6053 | 0.8518 | 3 |
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- | 0.3125 | 0.5946 | 0.8549 | 4 |
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  ### Framework versions
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- - Transformers 4.33.2
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  - TensorFlow 2.13.0
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  - Datasets 2.14.5
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- - Tokenizers 0.13.3
 
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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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+ - Train Loss: 2.3808
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+ - Validation Loss: 1.2434
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+ - Train Accuracy: 0.7405
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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+ | 2.3808 | 1.2434 | 0.7405 | 0 |
 
 
 
 
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  ### Framework versions
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+ - Transformers 4.34.0
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  - TensorFlow 2.13.0
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  - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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