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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 an unknown 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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- ## Model description
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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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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6503ebdce88eb2d0d51b33a8/NiJotkJsPDyihziT9gmz9.png)
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+ on [empathetic-dialogues-contexts](https://huggingface.co/datasets/bdotloh/empathetic-dialogues-contexts) dataset (test split):
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6503ebdce88eb2d0d51b33a8/QusXIpjz0A0vf_R77szMu.png)
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  ### Framework versions
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  - Transformers 4.44.2