banel_banglat5_annotated43k

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
• eval_gen_len: 3.0269
• eval_runtime: 43.6191
• eval_samples_per_second: 85.1
• eval_steps_per_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
• train_batch_size: 160
• 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