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hossein0677
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token_classification

Token Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
Inference Endpoints
Model card Files Community
hossein0677 commited on
Commit
17f8ffc
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1 Parent(s): 647529b

Training in progress epoch 0

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Files changed (2) hide show
  1. README.md +3 -5
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.1011
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  - Validation Loss: 0.2498
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  - Train Precision: 0.6477
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  - Train Recall: 0.4617
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  - Train F1: 0.5391
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  - Train Accuracy: 0.9488
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- - Epoch: 2
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  ## Model description
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@@ -47,9 +47,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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- | 0.1486 | 0.2595 | 0.6829 | 0.3864 | 0.4935 | 0.9451 | 0 |
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- | 0.1107 | 0.2498 | 0.6477 | 0.4617 | 0.5391 | 0.9488 | 1 |
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- | 0.1011 | 0.2498 | 0.6477 | 0.4617 | 0.5391 | 0.9488 | 2 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.1014
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  - Validation Loss: 0.2498
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  - Train Precision: 0.6477
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  - Train Recall: 0.4617
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  - Train F1: 0.5391
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  - Train Accuracy: 0.9488
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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+ | 0.1014 | 0.2498 | 0.6477 | 0.4617 | 0.5391 | 0.9488 | 0 |
 
 
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  ### Framework versions
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