cs_domain_pretrained_model

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.2410
• eval_runtime: 87.0838
• eval_samples_per_second: 114.832
• eval_steps_per_second: 1.803
• step: 0

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: 32
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 64
• total_train_batch_size: 2048
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.06
• num_epochs: 1

Framework versions

• Transformers 4.30.2
• Pytorch 1.13.1+cu117
• Datasets 2.13.2
• Tokenizers 0.13.3