prabigya_trained

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.1115
• eval_runtime: 113.0
• eval_samples_per_second: 48.274
• eval_steps_per_second: 3.018
• epoch: 0.49
• step: 3000

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3