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roberta-base-absa-ate-sentiment

Token Classification
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@@ -104,4 +104,39 @@ ate_sent_pipeline(text_input)
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ```
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+ # Evaluation on Benchmark Test Datasets
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+
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+ # ATE (Aspect Term Extraction Only)
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+ | Test Dataset | Base Model | Fine-tuned Model | Precision | Recall | F1 Score |
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+ | ------------ | ---------- | ---------------- | --------- | ------ | -------- |
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+ |hotel reviews (SemEval 2015)|microsoft/deberta-v3-base|[gauneg/deberta-v3-base-absa-ate-sentiment](https://huggingface.co/gauneg/deberta-v3-base-absa-ate-sentiment)|71.16|73.92|71.6|
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+ |hotel reviews (SemEval 2015)|FacebookAI/roberta-base|[gauneg/roberta-base-absa-ate-sentiment](https://huggingface.co/gauneg/roberta-base-absa-ate-sentiment)|70.92|72.28|71.07|
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+ |hotel reviews (SemEval 2015)|microsoft/deberta-v3-large|[gauneg/deberta-v3-large-absa-ate-sentiment-lora-adapter](https://huggingface.co/gauneg/deberta-v3-large-absa-ate-sentiment-lora-adapter)|64.05|79.69|70.0|
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+ |hotel reviews (SemEval 2015)|FacebookAI/roberta-large|[gauneg/roberta-large-absa-ate-sentiment-lora-adapter](https://huggingface.co/gauneg/roberta-large-absa-ate-sentiment-lora-adapter)|66.29|72.78|68.92|
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+ | ------------ | ---------- | ---------------- | --------- | ------ | -------- |
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+ |laptop reviews (SemEval 2014)|microsoft/deberta-v3-large|[gauneg/deberta-v3-large-absa-ate-sentiment-lora-adapter](https://huggingface.co/gauneg/deberta-v3-large-absa-ate-sentiment-lora-adapter)|70.58|61.52|64.21|
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+ |laptop reviews (SemEval 2014)|FacebookAI/roberta-large|[gauneg/roberta-large-absa-ate-sentiment-lora-adapter](https://huggingface.co/gauneg/roberta-large-absa-ate-sentiment-lora-adapter)|66.38|50.62|54.31|
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+ |laptop reviews (SemEval 2014)|microsoft/deberta-v3-base|[gauneg/deberta-v3-base-absa-ate-sentiment](https://huggingface.co/gauneg/deberta-v3-base-absa-ate-sentiment)|70.82|48.97|52.08|
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+ |laptop reviews (SemEval 2014)|FacebookAI/roberta-base|[gauneg/roberta-base-absa-ate-sentiment](https://huggingface.co/gauneg/roberta-base-absa-ate-sentiment)|73.61|46.38|49.87|
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+ | ------------ | ---------- | ---------------- | --------- | ------ | -------- |
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+ |MAMS-ATE (2019)|microsoft/deberta-v3-base|[gauneg/deberta-v3-base-absa-ate-sentiment](https://huggingface.co/gauneg/deberta-v3-base-absa-ate-sentiment)|81.07|79.66|80.35|
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+ |MAMS-ATE (2019)|FacebookAI/roberta-base|[gauneg/roberta-base-absa-ate-sentiment](https://huggingface.co/gauneg/roberta-base-absa-ate-sentiment)|79.91|78.95|79.39|
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+ |MAMS-ATE (2019)|microsoft/deberta-v3-large|[gauneg/deberta-v3-large-absa-ate-sentiment-lora-adapter](https://huggingface.co/gauneg/deberta-v3-large-absa-ate-sentiment-lora-adapter)|74.46|84.5|78.75|
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+ |MAMS-ATE (2019)|FacebookAI/roberta-large|[gauneg/roberta-large-absa-ate-sentiment-lora-adapter](https://huggingface.co/gauneg/roberta-large-absa-ate-sentiment-lora-adapter)|77.8|79.81|78.75|
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+ | ------------ | ---------- | ---------------- | --------- | ------ | -------- |
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+ |restaurant reviews (SemEval 2014)|microsoft/deberta-v3-large|[gauneg/deberta-v3-large-absa-ate-sentiment-lora-adapter](https://huggingface.co/gauneg/deberta-v3-large-absa-ate-sentiment-lora-adapter)|88.59|87.0|87.45|
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+ |restaurant reviews (SemEval 2014)|FacebookAI/roberta-large|[gauneg/roberta-large-absa-ate-sentiment-lora-adapter](https://huggingface.co/gauneg/roberta-large-absa-ate-sentiment-lora-adapter)|92.26|82.95|86.57|
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+ |restaurant reviews (SemEval 2014)|FacebookAI/roberta-base|[gauneg/roberta-base-absa-ate-sentiment](https://huggingface.co/gauneg/roberta-base-absa-ate-sentiment)|93.07|81.95|86.32|
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+ |restaurant reviews (SemEval 2014)|microsoft/deberta-v3-base|[gauneg/deberta-v3-base-absa-ate-sentiment](https://huggingface.co/gauneg/deberta-v3-base-absa-ate-sentiment)|92.94|81.71|86.01|
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+ | ------------ | ---------- | ---------------- | --------- | ------ | -------- |
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+ |restaurant reviews (SemEval 2015)|microsoft/deberta-v3-base|[gauneg/deberta-v3-base-absa-ate-sentiment](https://huggingface.co/gauneg/deberta-v3-base-absa-ate-sentiment)|72.91|75.4|72.74|
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+ |restaurant reviews (SemEval 2015)|FacebookAI/roberta-large|[gauneg/roberta-large-absa-ate-sentiment-lora-adapter](https://huggingface.co/gauneg/roberta-large-absa-ate-sentiment-lora-adapter)|70.54|77.48|72.63|
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+ |restaurant reviews (SemEval 2015)|microsoft/deberta-v3-large|[gauneg/deberta-v3-large-absa-ate-sentiment-lora-adapter](https://huggingface.co/gauneg/deberta-v3-large-absa-ate-sentiment-lora-adapter)|68.32|79.84|72.28|
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+ |restaurant reviews (SemEval 2015)|FacebookAI/roberta-base|[gauneg/roberta-base-absa-ate-sentiment](https://huggingface.co/gauneg/roberta-base-absa-ate-sentiment)|71.94|74.75|71.84|
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+ | ------------ | ---------- | ---------------- | --------- | ------ | -------- |
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+ |restaurant reviews (SemEval 2016)|FacebookAI/roberta-large|[gauneg/roberta-large-absa-ate-sentiment-lora-adapter](https://huggingface.co/gauneg/roberta-large-absa-ate-sentiment-lora-adapter)|70.22|75.83|71.84|
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+ |restaurant reviews (SemEval 2016)|microsoft/deberta-v3-base|[gauneg/deberta-v3-base-absa-ate-sentiment](https://huggingface.co/gauneg/deberta-v3-base-absa-ate-sentiment)|71.54|73.38|71.2|
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+ |restaurant reviews (SemEval 2016)|FacebookAI/roberta-base|[gauneg/roberta-base-absa-ate-sentiment](https://huggingface.co/gauneg/roberta-base-absa-ate-sentiment)|71.35|72.78|70.85|
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+ |restaurant reviews (SemEval 2016)|microsoft/deberta-v3-large|[gauneg/deberta-v3-large-absa-ate-sentiment-lora-adapter](https://huggingface.co/gauneg/deberta-v3-large-absa-ate-sentiment-lora-adapter)|66.68|77.97|70.79|