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Training in progress epoch 0

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  1. README.md +5 -25
  2. config.json +1 -1
  3. tf_model.h5 +1 -1
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 [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0761
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- - Validation Loss: 0.4911
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- - Train Accuracy: 0.8833
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- - Epoch: 20
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  ## Model description
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@@ -44,27 +44,7 @@ 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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- | 4.9762 | 4.7210 | 0.0767 | 0 |
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- | 4.4240 | 4.0959 | 0.4233 | 1 |
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- | 3.6373 | 3.4046 | 0.69 | 2 |
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- | 2.8675 | 2.7514 | 0.8233 | 3 |
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- | 2.1664 | 2.1956 | 0.8667 | 4 |
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- | 1.5991 | 1.7330 | 0.86 | 5 |
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- | 1.1413 | 1.4153 | 0.8833 | 6 |
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- | 0.8233 | 1.1592 | 0.8867 | 7 |
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- | 0.6009 | 0.9746 | 0.9033 | 8 |
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- | 0.4423 | 0.8468 | 0.9067 | 9 |
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- | 0.3338 | 0.7524 | 0.8967 | 10 |
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- | 0.2628 | 0.6865 | 0.8967 | 11 |
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- | 0.2142 | 0.6403 | 0.8933 | 12 |
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- | 0.1774 | 0.6060 | 0.8933 | 13 |
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- | 0.1522 | 0.5770 | 0.89 | 14 |
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- | 0.1316 | 0.5526 | 0.89 | 15 |
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- | 0.1163 | 0.5336 | 0.8867 | 16 |
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- | 0.1027 | 0.5190 | 0.89 | 17 |
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- | 0.0923 | 0.5043 | 0.8933 | 18 |
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- | 0.0851 | 0.4970 | 0.8867 | 19 |
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- | 0.0761 | 0.4911 | 0.8833 | 20 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 5.0926
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+ - Validation Loss: 4.9378
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+ - Train Accuracy: 0.0267
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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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+ | 5.0926 | 4.9378 | 0.0267 | 0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
config.json CHANGED
@@ -4,7 +4,7 @@
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  "BertForSequenceClassification"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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- "classifier_dropout": 0.2,
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  "gradient_checkpointing": false,
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.0,
 
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  "BertForSequenceClassification"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": 0.5,
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  "gradient_checkpointing": false,
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.0,
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 1341734528
 
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