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ThilinaGunathilaka/
fine-tune-sinhala-bert-v2

Name: fine-tune-sinhala-bert-v2
Availability: InStock

safetensors

bert

generated_from_trainer

finetune

vrclc/dakshina-lexicons-ml

google-bert/bert-base-cased

finetune

mit

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fine-tune-sinhala-bert

This model is pretrained on Sinhala data resources.

Model description

hidden_size = 786
num_hidden_layers = 6
num_attention_heads = 6
intermediate_size = 1024

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: 64
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Epoch Training Loss Validation Loss 1 3.946600 3.898129 2 3.782100 3.800080 3 3.678300 3.706316 4 3.485600 3.646217 5 3.480900 3.601913 6 3.420000 3.615573

Framework versions

Transformers 4.47.0
Pytorch 2.0.0
Datasets 3.2.0
Tokenizers 0.21.0

ThilinaGunathilaka/fine-tune-sinhala-bert-v2