empathetic_dialogues_context_classification – AI Model by Shefreie | AlphaNeural AI

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Shefreie/
empathetic_dialogues_context_classification

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text-classification

generated_from_trainer

albert/albert-base-v2

autotrain_compatible

endpoints_compatible

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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

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
2.3973	1.0	558	2.2506	0.4080	0.4080
1.7624	2.0	1116	1.8044	0.4870	0.4870
1.5362	3.0	1674	1.6312	0.5094	0.5094
1.3443	4.0	2232	1.6225	0.5145	0.5145
1.2083	5.0	2790	1.5858	0.5355	0.5355
1.079	6.0	3348	1.5721	0.5409	0.5409
0.9522	7.0	3906	1.5888	0.5308	0.5308
0.8075	8.0	4464	1.6758	0.5315	0.5315

Evaloation Result

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

image/png

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

image/png

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1