ayshi
/

basic_distil

Text Classification

generated_from_keras_callback

text-embeddings-inference

Model card Files Files and versions

ayshi commited on Oct 2, 2023

Commit

630841c

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1 Parent(s): 75e4cfe

Training in progress epoch 4

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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: 0.7175
-- Validation Loss: 0.8779
-- Train Accuracy: 0.7289
-- Epoch: 3
 ## Model description
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 0.9980     | 1.0243          | 0.6667         | 1     |
 | 0.8564     | 0.9625          | 0.7067         | 2     |
 | 0.7175     | 0.8779          | 0.7289         | 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: 0.6225
+- Validation Loss: 0.8513
+- Train Accuracy: 0.7333
+- Epoch: 4
 ## Model description
 | 0.9980     | 1.0243          | 0.6667         | 1     |
 | 0.8564     | 0.9625          | 0.7067         | 2     |
 | 0.7175     | 0.8779          | 0.7289         | 3     |
+| 0.6225     | 0.8513          | 0.7333         | 4     |
 ### Framework versions

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