fia24/filtered_annotated100k_banglat5_v2

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filteredannotated100kbanglat5_v2

This model is a fine-tuned version of csebuetnlp/banglat5 on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.2532
• —eval_Val Accuracy: 0.9247
• —evalgenlen: 2.648
• —eval_runtime: 85.2007
• —evalsamplesper_second: 112.722
• —evalstepsper_second: 3.533
• —epoch: 17.0
• —step: 4369

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: 0.0005
• —trainbatchsize: 300
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 200

Framework versions

• —Transformers 4.35.2
• —Pytorch 1.13.1+cu117
• —Datasets 2.16.1
• —Tokenizers 0.15.1