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README.md
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# empathetic_dialogues_context_classification
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This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on
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It achieves the following results on the evaluation set:
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- Loss: 1.6758
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- F1: 0.5315
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- Accuracy: 0.5315
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##
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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| 0.8075 | 8.0 | 4464 | 1.6758 | 0.5315 | 0.5315 |
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### Framework versions
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- Transformers 4.44.2
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# empathetic_dialogues_context_classification
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This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on empatheticDialogues dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6758
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- F1: 0.5315
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- Accuracy: 0.5315
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## Access to Code
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https://gist.github.com/zolfaShefreie/ae87ac2944e4f7b24609e0c28fde8449
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### Training hyperparameters
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| 0.8075 | 8.0 | 4464 | 1.6758 | 0.5315 | 0.5315 |
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### Evaloation Result
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on EmpatheticDialogues dataset (test split) and using whole history as input:
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on [empathetic-dialogues-contexts](https://huggingface.co/datasets/bdotloh/empathetic-dialogues-contexts) dataset (test split):
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### Framework versions
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- Transformers 4.44.2
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