silviacamplani
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distilbert-uncase-direct-finetuning-ai-ner

Token Classification

generated_from_keras_callback

Model card Files Files and versions

silviacamplani commited on Jul 25, 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: 3.1809
-- Validation Loss: 2.9294
-- Epoch: 0
 ## Model description
@@ -43,6 +43,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 3.1809     | 2.9294          | 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: 2.4637
+- Validation Loss: 2.4181
+- Epoch: 2
 ## Model description
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 3.1809     | 2.9294          | 0     |
+| 2.7303     | 2.5675          | 1     |
+| 2.4637     | 2.4181          | 2     |
 ### Framework versions

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