cs221-xlnet-base-cased-finetuned-20-epochs

This model is a fine-tuned version of sercetexam9/cs221-xlnet-base-cased-finetuned on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4195
• F1: 0.7215
• Accuracy: 0.4314

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
0.1871	1.0	70	0.4195	0.7215	0.4314
0.1906	2.0	140	0.4226	0.7209	0.4585

Framework versions

• Transformers 4.47.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.21.0