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banel_jakir_arnob_banglat5

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: 0.3634
• eval_Val Accuracy: 0.86
• eval_gen_len: 2.4157
• eval_runtime: 35.8676
• eval_samples_per_second: 98.39
• eval_steps_per_second: 3.095
• epoch: 12.0
• step: 1908

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

Framework versions

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