ViditRaj
/

Distil_BERT_Hindi_Ads_Classifier

Text Classification

generated_from_keras_callback

text-embeddings-inference

Model card Files Files and versions

ViditRaj commited on Mar 27, 2023

Commit

2c93f04

·

1 Parent(s): 6f38b3f

Training in progress epoch 4

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README.md +5 -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: 0.1389
-- Validation Loss: 0.2367
-- Train Accuracy: 0.9073
-- Epoch: 3
 ## Model description
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.2283     | 0.2223          | 0.9210         | 1     |
 | 0.1774     | 0.2084          | 0.9255         | 2     |
 | 0.1389     | 0.2367          | 0.9073         | 3     |
 ### 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: 0.1092
+- Validation Loss: 0.1996
+- Train Accuracy: 0.9347
+- Epoch: 4
 ## Model description
 | 0.2283     | 0.2223          | 0.9210         | 1     |
 | 0.1774     | 0.2084          | 0.9255         | 2     |
 | 0.1389     | 0.2367          | 0.9073         | 3     |
+| 0.1092     | 0.1996          | 0.9347         | 4     |
 ### Framework versions

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