Finetuned-mT5-Bangla2IPA – AI Model by Udoy | AlphaNeural AI

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Udoy/
Finetuned-mT5-Bangla2IPA

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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Finetuned-mT5-Bangla2IPA

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0529
Wer: 0.0530

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: 0.0003
train_batch_size: 4
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.407	0.75	2000	1.4085	0.9726
0.9875	1.5	4000	0.2242	0.2198
0.3856	2.25	6000	0.1268	0.1266
0.2443	2.99	8000	0.0929	0.0958
0.1753	3.74	10000	0.0798	0.0827
0.1431	4.49	12000	0.0701	0.0731
0.121	5.24	14000	0.0649	0.0665
0.1046	5.99	16000	0.0614	0.0625
0.0914	6.74	18000	0.0585	0.0588
0.0821	7.49	20000	0.0556	0.0564
0.0747	8.23	22000	0.0554	0.0548
0.0707	8.98	24000	0.0535	0.0540
0.0646	9.73	26000	0.0529	0.0530

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3