ayshi
/

basic_distil

Text Classification

generated_from_keras_callback

text-embeddings-inference

Model card Files Files and versions

ayshi commited on Oct 9, 2023

Commit

4da565b

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1 Parent(s): 185d72c

Training in progress epoch 9

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README.md +4 -3
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: 0.3210
-- Validation Loss: 0.8005
 - Train Accuracy: 0.7733
-- Epoch: 8
 ## Model description
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.4181     | 0.8314          | 0.7556         | 6     |
 | 0.3560     | 0.8161          | 0.7689         | 7     |
 | 0.3210     | 0.8005          | 0.7733         | 8     |
 ### 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: 0.2951
+- Validation Loss: 0.8023
 - Train Accuracy: 0.7733
+- Epoch: 9
 ## Model description
 | 0.4181     | 0.8314          | 0.7556         | 6     |
 | 0.3560     | 0.8161          | 0.7689         | 7     |
 | 0.3210     | 0.8005          | 0.7733         | 8     |
+| 0.2951     | 0.8023          | 0.7733         | 9     |
 ### Framework versions

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