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

4ab9636

·

1 Parent(s): b26041c

Training in progress epoch 7

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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: 0.4181
-- Validation Loss: 0.8314
-- Train Accuracy: 0.7556
-- Epoch: 6
 ## Model description
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.6333     | 0.8576          | 0.76           | 4     |
 | 0.5108     | 0.8356          | 0.7422         | 5     |
 | 0.4181     | 0.8314          | 0.7556         | 6     |
 ### 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: 0.3560
+- Validation Loss: 0.8161
+- Train Accuracy: 0.7689
+- Epoch: 7
 ## Model description
 | 0.6333     | 0.8576          | 0.76           | 4     |
 | 0.5108     | 0.8356          | 0.7422         | 5     |
 | 0.4181     | 0.8314          | 0.7556         | 6     |
+| 0.3560     | 0.8161          | 0.7689         | 7     |
 ### Framework versions

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