ViditRaj
/

XLM_Roberta_Hindi_Ads_Classifier

Text Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

ViditRaj commited on Mar 27, 2023

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222c789

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1 Parent(s): 8a9fff8

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 [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4551
-- Validation Loss: 0.5800
-- Train Accuracy: 0.7219
-- Epoch: 3
 ## Model description
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.2323     | 0.1927          | 0.9347         | 1     |
 | 0.2013     | 0.1739          | 0.9377         | 2     |
 | 0.4551     | 0.5800          | 0.7219         | 3     |
 ### Framework versions

 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 0.3258
+- Validation Loss: 0.2867
+- Train Accuracy: 0.9149
+- Epoch: 4
 ## Model description
 | 0.2323     | 0.1927          | 0.9347         | 1     |
 | 0.2013     | 0.1739          | 0.9377         | 2     |
 | 0.4551     | 0.5800          | 0.7219         | 3     |
+| 0.3258     | 0.2867          | 0.9149         | 4     |
 ### Framework versions

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