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fabriceyhc_bert-base-uncased-imdb-finetuned-lora-tweet_eval_irony

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hilco commited on Feb 29

Commit

e53dc5f

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1 Parent(s): 7bfe648

Finished training.

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README.md +10 -10
adapter_model.safetensors +1 -1

README.md CHANGED Viewed

@@ -23,7 +23,7 @@ model-index:
       args: irony
     metrics:
     - type: accuracy
-      value: 0.587434554973822
       name: accuracy
 ---
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [fabriceyhc/bert-base-uncased-imdb](https://huggingface.co/fabriceyhc/bert-base-uncased-imdb) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.5874
 ## Model description
@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
 | 0.5309   | None       | 0     |
-| 0.5435   | 0.8357     | 0     |
-| 0.5424   | 0.6903     | 1     |
-| 0.5351   | 0.6873     | 2     |
-| 0.5634   | 0.6833     | 3     |
-| 0.5361   | 0.6762     | 4     |
-| 0.6010   | 0.6731     | 5     |
-| 0.5644   | 0.6650     | 6     |
-| 0.5874   | 0.6612     | 7     |
 ### Framework versions

       args: irony
     metrics:
     - type: accuracy
+      value: 0.5863874345549738
       name: accuracy
 ---
 This model is a fine-tuned version of [fabriceyhc/bert-base-uncased-imdb](https://huggingface.co/fabriceyhc/bert-base-uncased-imdb) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
+- accuracy: 0.5864
 ## Model description
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
 | 0.5309   | None       | 0     |
+| 0.5435   | 0.8386     | 0     |
+| 0.5382   | 0.6942     | 1     |
+| 0.5686   | 0.6876     | 2     |
+| 0.5707   | 0.6788     | 3     |
+| 0.5654   | 0.6750     | 4     |
+| 0.5654   | 0.6678     | 5     |
+| 0.5665   | 0.6546     | 6     |
+| 0.5864   | 0.6538     | 7     |
 ### Framework versions

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