Chessmen
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TF_fine_tune_distilbert-base-uncased

generated_from_keras_callback

Inference Endpoints

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Chessmen commited on Sep 4

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Training in progress epoch 1

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README.md +4 -3
tf_model.h5 +1 -1

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@@ -16,9 +16,9 @@ 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: 2.7036
-- Validation Loss: 2.4365
-- Epoch: 0
 ## Model description
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 2.7036     | 2.4365          | 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: 2.5098
+- Validation Loss: 2.3908
+- Epoch: 1
 ## Model description
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 2.7036     | 2.4365          | 0     |
+| 2.5098     | 2.3908          | 1     |
 ### Framework versions

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