ayshi
/

undersampling_distil

Text Classification

generated_from_keras_callback

text-embeddings-inference

Model card Files Files and versions

ayshi commited on Oct 9, 2023

Commit

fc0d401

·

1 Parent(s): 1baa623

Training in progress epoch 2

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README.md +5 -4
tf_model.h5 +1 -1

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@@ -15,10 +15,10 @@ 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: 1.7228
-- Validation Loss: 1.6637
-- Train Accuracy: 0.4835
-- Epoch: 1
 ## Model description
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.7867     | 1.7551          | 0.4176         | 0     |
 | 1.7228     | 1.6637          | 0.4835         | 1     |
 ### 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: 1.5961
+- Validation Loss: 1.4869
+- Train Accuracy: 0.5934
+- Epoch: 2
 ## Model description
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.7867     | 1.7551          | 0.4176         | 0     |
 | 1.7228     | 1.6637          | 0.4835         | 1     |
+| 1.5961     | 1.4869          | 0.5934         | 2     |
 ### Framework versions

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