JuvManga-87
/

baobab_extraction

Token Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

JuvManga-87 commited on Jul 26

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dc2314f

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1 Parent(s): 455b176

Training in progress epoch 0

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README.md +3 -3
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -15,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6424
-- Validation Loss: 0.2938
 - Train Precision: 0.0
 - Train Recall: 0.0
 - Train F1: 0.0
@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 0.6424     | 0.2938          | 0.0             | 0.0          | 0.0      | 0.9388         | 0     |
 ### Framework versions

 This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 0.6012
+- Validation Loss: 0.2818
 - Train Precision: 0.0
 - Train Recall: 0.0
 - Train F1: 0.0
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
+| 0.6012     | 0.2818          | 0.0             | 0.0          | 0.0      | 0.9388         | 0     |
 ### Framework versions

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