sentenec30kv2

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: 0.1100
• eval_bleu: 88.2797
• eval_Val Accuracy: 0.683
• eval_Word_accuracy: 0.9845
• eval_gen_len: 14.3727
• eval_runtime: 141.8398
• eval_samples_per_second: 21.151
• eval_steps_per_second: 1.325
• epoch: 9.0
• step: 4005

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: 54
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 200

Framework versions

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