fia24/banel_banglat5_annotated43k

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banelbanglat5annotated43k

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: 0.7573
• —eval_Val Accuracy: 0.7961
• —evalgenlen: 3.0269
• —eval_runtime: 43.6191
• —evalsamplesper_second: 85.1
• —evalstepsper_second: 2.659
• —epoch: 17.0
• —step: 3553

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: 160
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 200

Framework versions

• —Transformers 4.34.1
• —Pytorch 1.13.1+cu117
• —Datasets 2.14.5
• —Tokenizers 0.14.1