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Maxnotmarx
/
diaster_detection_model

TensorFlow
roberta
generated_from_keras_callback
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Maxnotmarx commited on
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e599914
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1 Parent(s): d810616

Training in progress epoch 0

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  1. README.md +4 -7
  2. tf_model.h5 +2 -2
README.md CHANGED
@@ -15,9 +15,9 @@ 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: 0.1920
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- - Train Accuracy: 0.9568
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- - Epoch: 3
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  ## Model description
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@@ -43,10 +43,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Accuracy | Epoch |
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  |:----------:|:--------------:|:-----:|
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- | 0.4444 | 0.8747 | 0 |
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- | 0.3359 | 0.9163 | 1 |
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- | 0.2610 | 0.945 | 2 |
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- | 0.1920 | 0.9568 | 3 |
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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: 0.1317
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+ - Train Accuracy: 0.9618
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Train Accuracy | Epoch |
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  |:----------:|:--------------:|:-----:|
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+ | 0.1317 | 0.9618 | 0 |
 
 
 
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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