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Brecon
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validation_model

Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
Inference Endpoints
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Training in progress epoch 2

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  1. README.md +4 -3
  2. 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 [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: 0.9356
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- - Validation Loss: 0.8996
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  - Train Accuracy: 0.3548
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- - Epoch: 1
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  ## Model description
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@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
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  |:----------:|:---------------:|:--------------:|:-----:|
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  | 1.0329 | 0.9384 | 0.3548 | 0 |
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  | 0.9356 | 0.8996 | 0.3548 | 1 |
 
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  ### Framework versions
 
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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: 0.9138
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+ - Validation Loss: 0.8945
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  - Train Accuracy: 0.3548
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:---------------:|:--------------:|:-----:|
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  | 1.0329 | 0.9384 | 0.3548 | 0 |
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  | 0.9356 | 0.8996 | 0.3548 | 1 |
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+ | 0.9138 | 0.8945 | 0.3548 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
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