Sarmila
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scibert_scivocab_uncased_ml-finetuned-imdb

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Sarmila commited on Mar 27, 2023

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@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.7114
 ## Model description
@@ -45,9 +45,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 7.7982 | 1.0 | 32 | 7.2343 |
-| 7.0165 | 2.0 | 64 | 6.9615 |
-| 6.8176 | 3.0 | 96 | 6.7678 |
 ### Framework versions

 This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.7940
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| 1.7945 | 1.0 | 30 | 1.7968 |
+| 1.8117 | 2.0 | 60 | 1.8293 |
+| 1.8011 | 3.0 | 90 | 1.7923 |
 ### Framework versions