peterhsu
/

tf-distilbert-base-uncased-finetuned-imdb

generated_from_keras_callback

Inference Endpoints

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peterhsu commited on Feb 17, 2022

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1 Parent(s): 3580ea0

End of training

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

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@@ -14,9 +14,9 @@ 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: 2.8531
-- Validation Loss: 2.5871
-- Epoch: 0
 ## Model description
@@ -42,7 +42,9 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 2.8531     | 2.5871          | 0     |
 ### 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: 2.5691
+- Validation Loss: 2.4661
+- Epoch: 2
 ## Model description
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
+| 2.8546     | 2.6095          | 0     |
+| 2.6594     | 2.5243          | 1     |
+| 2.5691     | 2.4661          | 2     |
 ### Framework versions

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