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

f4b94cd

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1 Parent(s): 4b18c77

Training in progress epoch 7

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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: 0.4424
-- Validation Loss: 0.8628
 - Train Accuracy: 0.76
-- Epoch: 6
 ## Model description
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.6642     | 0.8437          | 0.7556         | 4     |
 | 0.5446     | 0.8595          | 0.7644         | 5     |
 | 0.4424     | 0.8628          | 0.76           | 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: 0.3908
+- Validation Loss: 0.8741
 - Train Accuracy: 0.76
+- Epoch: 7
 ## Model description
 | 0.6642     | 0.8437          | 0.7556         | 4     |
 | 0.5446     | 0.8595          | 0.7644         | 5     |
 | 0.4424     | 0.8628          | 0.76           | 6     |
+| 0.3908     | 0.8741          | 0.76           | 7     |
 ### Framework versions

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