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marcelcastrobr_sagemaker-distilbert-emotion-finetuned-lora-ag_news

Text Classification

Eval Results (legacy)

Model card Files Files and versions

hilco commited on Feb 28, 2024

Commit

8984d36

·

verified ·

1 Parent(s): dbbec5c

Finished training.

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README.md +7 -7
adapter_model.safetensors +1 -1

README.md CHANGED Viewed

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9386842105263158
       name: accuracy
 ---
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [marcelcastrobr/sagemaker-distilbert-emotion](https://huggingface.co/marcelcastrobr/sagemaker-distilbert-emotion) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9387
 ## Model description
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2486   | None       | 0     |
-| 0.9236   | 0.2643     | 0     |
-| 0.9316   | 0.2018     | 1     |
-| 0.9371   | 0.1795     | 2     |
-| 0.9387   | 0.1629     | 3     |
 ### Framework versions

       args: default
     metrics:
     - type: accuracy
+      value: 0.9397368421052632
       name: accuracy
 ---
 This model is a fine-tuned version of [marcelcastrobr/sagemaker-distilbert-emotion](https://huggingface.co/marcelcastrobr/sagemaker-distilbert-emotion) on the ag_news dataset.
 It achieves the following results on the evaluation set:
+- accuracy: 0.9397
 ## Model description
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
+| 0.2130   | None       | 0     |
+| 0.9246   | 0.2626     | 0     |
+| 0.93     | 0.2000     | 1     |
+| 0.9366   | 0.1770     | 2     |
+| 0.9397   | 0.1618     | 3     |
 ### Framework versions

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