ayshi
/

distil_base2

Text Classification

generated_from_keras_callback

text-embeddings-inference

Model card Files Files and versions

ayshi commited on Oct 4, 2023

Commit

19b87dd

·

1 Parent(s): f3f5087

Training in progress epoch 1

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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: 1.3779
-- Validation Loss: 1.1529
 - Train Accuracy: 0.6667
-- Epoch: 0
 ## Model description
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.3779     | 1.1529          | 0.6667         | 0     |
 ### 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: 1.1276
+- Validation Loss: 1.0669
 - Train Accuracy: 0.6667
+- Epoch: 1
 ## Model description
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.3779     | 1.1529          | 0.6667         | 0     |
+| 1.1276     | 1.0669          | 0.6667         | 1     |
 ### Framework versions

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