Mohamedfasil
/

my_awesome_wnut_model

Token Classification

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Mohamedfasil commited on Nov 25, 2023

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1 Parent(s): c0e1666

Training in progress epoch 2

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README.md +3 -2
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1101
 - Validation Loss: 0.2607
 - Train Precision: 0.5710
 - Train Recall: 0.4378
 - Train F1: 0.4956
 - Train Accuracy: 0.9469
-- Epoch: 1
 ## Model description
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1100     | 0.2607          | 0.5710          | 0.4378       | 0.4956   | 0.9469         | 0     |
 | 0.1101     | 0.2607          | 0.5710          | 0.4378       | 0.4956   | 0.9469         | 1     |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 0.1100
 - Validation Loss: 0.2607
 - Train Precision: 0.5710
 - Train Recall: 0.4378
 - Train F1: 0.4956
 - Train Accuracy: 0.9469
+- Epoch: 2
 ## Model description
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1100     | 0.2607          | 0.5710          | 0.4378       | 0.4956   | 0.9469         | 0     |
 | 0.1101     | 0.2607          | 0.5710          | 0.4378       | 0.4956   | 0.9469         | 1     |
+| 0.1100     | 0.2607          | 0.5710          | 0.4378       | 0.4956   | 0.9469         | 2     |
 ### Framework versions

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