Brecon
/

validation_model

Text Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

Brecon commited on Sep 13, 2023

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da9672e

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1 Parent(s): e2d47b2

Training in progress epoch 0

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README.md +4 -6
tf_model.h5 +1 -1

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@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.9349
-- Validation Loss: 0.8976
 - Train Accuracy: 0.3548
-- Epoch: 2
 ## Model description
@@ -44,9 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 1.0464     | 0.9660          | 0.3548         | 0     |
-| 0.9526     | 0.8754          | 0.4194         | 1     |
-| 0.9349     | 0.8976          | 0.3548         | 2     |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 1.0329
+- Validation Loss: 0.9384
 - Train Accuracy: 0.3548
+- Epoch: 0
 ## Model description
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
+| 1.0329     | 0.9384          | 0.3548         | 0     |
 ### Framework versions

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