Sinhala_Bert_Finetune_BS8_LR5e-5

GeethmaYasashwi/Sinhala_Bert_Finetune_BS8_LR5e-5

Sinhala_Bert_Finetune_BS8_LR5e-5 is a machine learning model from GeethmaYasashwi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
Model type: encoder-decoder
Access: Public
Created: Jun 10, 2026
Updated: Jun 10, 2026
SHA: ff70733c

Model card

From the Hugging Face model README

Sinhala_Bert_Finetune_BS8_LR5e-5

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

Loss: 1.1651
Bleu: 0.4158

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
5.7138	1.0	225	2.5467	4.4630
3.1683	2.0	450	1.6767	18.1022
2.2024	3.0	675	1.3708	25.4629
1.6300	4.0	900	1.1976	41.7703
1.0056	5.0	1125	1.1782	39.8555
0.7387	6.0	1350	1.1153	44.6256
0.5578	7.0	1575	1.1164	41.9795
0.4116	8.0	1800	1.0800	40.4000

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2

Library: transformers
Type: encoder-decoder
Created: Jun 10, 2026
Updated: Jun 10, 2026