ViditRaj
/

Distil_BERT_Hindi_Ads_Classifier_test_set

Text Classification

generated_from_keras_callback

text-embeddings-inference

Model card Files Files and versions

ViditRaj commited on Mar 28, 2023

Commit

df78ba3

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1 Parent(s): d4aa525

Training in progress epoch 2

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

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@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.3727
-- Validation Loss: 0.3213
-- Train Accuracy: 0.855
-- Epoch: 0
 ## Model description
@@ -44,6 +44,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.3727     | 0.3213          | 0.855          | 0     |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 0.1628
+- Validation Loss: 0.4165
+- Train Accuracy: 0.865
+- Epoch: 2
 ## Model description
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.3727     | 0.3213          | 0.855          | 0     |
+| 0.2185     | 0.3729          | 0.865          | 1     |
+| 0.1628     | 0.4165          | 0.865          | 2     |
 ### Framework versions

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