ayshi
/

basic_distil

Text Classification

generated_from_keras_callback

text-embeddings-inference

Model card Files Files and versions

ayshi commited on Oct 4, 2023

Commit

5fd7fef

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1 Parent(s): 68d8778

Training in progress epoch 5

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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: 0.2721
-- Validation Loss: 0.7740
-- Train Accuracy: 0.7911
-- Epoch: 4
 ## Model description
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 0.3786     | 0.8021          | 0.7778         | 2     |
 | 0.3192     | 0.7830          | 0.7867         | 3     |
 | 0.2721     | 0.7740          | 0.7911         | 4     |
 ### 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: 0.2527
+- Validation Loss: 0.7762
+- Train Accuracy: 0.8
+- Epoch: 5
 ## Model description
 | 0.3786     | 0.8021          | 0.7778         | 2     |
 | 0.3192     | 0.7830          | 0.7867         | 3     |
 | 0.2721     | 0.7740          | 0.7911         | 4     |
+| 0.2527     | 0.7762          | 0.8            | 5     |
 ### Framework versions

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