bn_llm

This model is a fine-tuned version of hishab/titulm-1b-enbn-v1 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.9963
• eval_runtime: 12.117
• eval_samples_per_second: 8.253
• eval_steps_per_second: 4.126
• epoch: 0.01
• step: 60

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: 0.0002
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 3
• total_train_batch_size: 6
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 0.03
• training_steps: 100

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2