empathetic_dialogues_context_classification

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empathetic_dialogues_context_classification

This model is a fine-tuned version of albert-base-v2 on empatheticDialogues dataset. It achieves the following results on the evaluation set:

• Loss: 1.6758
• F1: 0.5315
• Accuracy: 0.5315

Access to Code

https://gist.github.com/zolfaShefreie/ae87ac2944e4f7b24609e0c28fde8449

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 10

Training results

Evaloation Result

on EmpatheticDialogues dataset (test split) and using whole history as input:

on empathetic-dialogues-contexts dataset (test split):

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Datasets 3.0.2
• Tokenizers 0.19.1