Hemg
/

twitter-sentiments

Text Classification

Generated from Trainer

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Hemg commited on May 23

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3a432eb

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1 Parent(s): 0f64c74

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README.md +5 -5

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@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 # twitter-sentiments
-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:
-- Loss: 0.6259
-- Accuracy: 0.7200
 ## Model description
@@ -49,7 +49,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5572        | 1.0   | 1141 | 0.6259          | 0.7200   |
 ### Framework versions

 ---
 license: apache-2.0
+base_model: distilbert/distilroberta-base
 tags:
 - generated_from_trainer
 metrics:
 # twitter-sentiments
+This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6101
+- Accuracy: 0.7253
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.635         | 1.0   | 1141 | 0.6101          | 0.7253   |
 ### Framework versions