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

a9a67f4

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1 Parent(s): e5ddc06

Training in progress epoch 0

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README.md +5 -8
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: 0.7803
-- Validation Loss: 0.9170
-- Train Accuracy: 0.7067
-- Epoch: 3
 ## Model description
@@ -44,10 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 1.3675     | 1.1572          | 0.6667         | 0     |
-| 1.1104     | 1.0677          | 0.6667         | 1     |
-| 0.9549     | 0.9543          | 0.7111         | 2     |
-| 0.7803     | 0.9170          | 0.7067         | 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: 0.6101
+- Validation Loss: 0.8367
+- Train Accuracy: 0.7422
+- Epoch: 0
 ## Model description
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
+| 0.6101     | 0.8367          | 0.7422         | 0     |
 ### Framework versions

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