silviacamplani
/

distilbert-uncase-finetuned-ai-ner

Token Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

silviacamplani commited on Jul 18, 2022

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End of training

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README.md +5 -3
tf_model.h5 +1 -1

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@@ -14,9 +14,9 @@ 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: 3.2918
-- Validation Loss: 3.0479
-- Epoch: 0
 ## Model description
@@ -43,6 +43,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 3.2918     | 3.0479          | 0     |
 ### 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: 2.5704
+- Validation Loss: 2.5380
+- Epoch: 2
 ## Model description
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 3.2918     | 3.0479          | 0     |
+| 2.8526     | 2.6902          | 1     |
+| 2.5704     | 2.5380          | 2     |
 ### Framework versions

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