emotion-analysis-mBERT-czech – AI Model by honzapucalek | AlphaNeural AI

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honzapucalek/
emotion-analysis-mBERT-czech

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text-classification

generated_from_trainer

google-bert/bert-base-multilingual-uncased

text-embeddings-inference

endpoints_compatible

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emotion-analysis-mBERT-czech

This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1507
F1: 0.8702
Roc Auc: 0.9218
Accuracy: 0.863

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.1653	1.0	2000	0.1560	0.8306	0.8884	0.801
0.1305	2.0	4000	0.1334	0.8571	0.9073	0.8345
0.093	3.0	6000	0.1389	0.8540	0.9099	0.8395
0.0713	4.0	8000	0.1437	0.8694	0.9202	0.862
0.0605	5.0	10000	0.1507	0.8702	0.9218	0.863

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2