quastrinos
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openbook-finetuned-deberta-v3-large-mcqa-TPU

Multiple Choice

generated_from_keras_callback

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quastrinos commited on Oct 7, 2023

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Upload TFDebertaV2ForMultipleChoice

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

README.md CHANGED Viewed

@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.3849
-- Validation Loss: 1.5933
-- Train Map3: 0.6849
 - Train Lr: 5.0733553e-11
 - Epoch: 0
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Map3 | Train Lr      | Epoch |
 |:----------:|:---------------:|:----------:|:-------------:|:-----:|
-| 1.3849     | 1.5933          | 0.6849     | 5.0733553e-11 | 0     |
 ### Framework versions

 This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 1.3845
+- Validation Loss: 1.5914
+- Train Map3: 0.7024
 - Train Lr: 5.0733553e-11
 - Epoch: 0
 | Train Loss | Validation Loss | Train Map3 | Train Lr      | Epoch |
 |:----------:|:---------------:|:----------:|:-------------:|:-----:|
+| 1.3845     | 1.5914          | 0.7024     | 5.0733553e-11 | 0     |
 ### Framework versions

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