nlp-esg-scoring
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bert-base-finetuned-esg-gri-clean

generated_from_keras_callback

Inference Endpoints

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lmchion commited on Jul 25, 2022

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End of training

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README.md +13 -4
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 2.0780
-- Validation Loss: 1.6089
-- Epoch: 0
 ## Model description
@@ -42,7 +42,16 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 2.0780     | 1.6089          | 0     |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 1.9523
+- Validation Loss: 1.5258
+- Epoch: 9
 ## Model description
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
+| 2.0652     | 1.5747          | 0     |
+| 2.0464     | 1.5772          | 1     |
+| 1.9953     | 1.5825          | 2     |
+| 1.9823     | 1.5736          | 3     |
+| 1.9486     | 1.5394          | 4     |
+| 1.9523     | 1.4926          | 5     |
+| 1.9576     | 1.5078          | 6     |
+| 1.9525     | 1.5267          | 7     |
+| 1.9501     | 1.5067          | 8     |
+| 1.9523     | 1.5258          | 9     |
 ### Framework versions

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