bart-kurd-spell-base-05_10 – AI Model by razhan | AlphaNeural AI

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razhan/
bart-kurd-spell-base-05_10

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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bart-kurd-spell-base

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1930
Cer: 1.5424
Wer: 8.3088
Gen Len: 12.6945

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: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Cer	Wer	Gen Len
0.4548	1.54	20000	0.4117	2.8856	13.6181	12.7807
0.2723	3.07	40000	0.2736	2.1004	10.5883	12.6808
0.2246	4.61	60000	0.2303	1.8035	9.4897	12.7048
0.1812	6.14	80000	0.2122	1.6804	8.9349	12.6937
0.1693	7.68	100000	0.2001	1.589	8.5464	12.7045
0.1498	9.22	120000	0.1942	1.5546	8.3598	12.6935

Framework versions

Transformers 4.34.0.dev0
Pytorch 1.13.1
Datasets 2.14.5
Tokenizers 0.13.3