test_trainer

This model is a fine-tuned version of xlnet-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.9801
• eval_rmse: 0.7134
• eval_runtime: 134.0142
• eval_samples_per_second: 14.924
• eval_steps_per_second: 1.865
• epoch: 0.06
• step: 63

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1+cpu
• Datasets 2.14.4
• Tokenizers 0.13.3