ashhadahsan commited on
Commit
62a78f2
1 Parent(s): 46c2989

Training in progress epoch 0

Browse files
README.md CHANGED
@@ -1,5 +1,6 @@
1
  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_keras_callback
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  model-index:
@@ -14,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
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15
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-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: 0.1709
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- - Train Accuracy: 0.9996
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- - Validation Loss: 2.4652
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- - Validation Accuracy: 0.5128
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  - Epoch: 0
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  ## Model description
@@ -44,12 +45,12 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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- | 0.1709 | 0.9996 | 2.4652 | 0.5128 | 0 |
48
 
49
 
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  ### Framework versions
51
 
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- - Transformers 4.16.2
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  - TensorFlow 2.13.0
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  - Datasets 2.14.5
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- - Tokenizers 0.14.0
 
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  ---
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  license: apache-2.0
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+ base_model: bert-base-uncased
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  tags:
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  - generated_from_keras_callback
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  model-index:
 
15
 
16
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Train Loss: 3.4429
19
+ - Train Accuracy: 0.2736
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+ - Validation Loss: 2.9237
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+ - Validation Accuracy: 0.3077
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  - Epoch: 0
23
 
24
  ## Model description
 
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 3.4429 | 0.2736 | 2.9237 | 0.3077 | 0 |
49
 
50
 
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  ### Framework versions
52
 
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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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