distilroberta-topic-classification_5 – AI Model by abdulmatinomotoso | AlphaNeural AI

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abdulmatinomotoso/
distilroberta-topic-classification_5

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text-classification

generated_from_trainer

distilbert/distilroberta-base

autotrain_compatible

endpoints_compatible

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distilroberta-topic-classification_5

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.7686
F1: 0.6337

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 12345
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 16
num_epochs: 10
mixed_precision_training: Native AMP
label_smoothing_factor: 0.2

Training results

Training Loss	Epoch	Step	Validation Loss	F1
2.6113	1.0	1305	2.6631	0.5832
2.4032	2.0	2610	2.6335	0.5943
2.3245	3.0	3915	2.6132	0.6196
2.2142	4.0	5220	2.6438	0.6226
2.0364	5.0	6525	2.6559	0.6323
2.03	6.0	7830	2.7057	0.6282
1.9461	7.0	9135	2.7222	0.6325
1.8751	8.0	10440	2.7435	0.6302
1.8463	9.0	11745	2.7668	0.6329
1.9001	10.0	13050	2.7686	0.6337

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0