distilbert-base-uncased-finetuned

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.8627

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.0255	1.0	2312	1.9202
1.7483	2.0	4624	1.8437
1.5733	3.0	6936	1.8627

Framework versions

• Transformers 4.19.3
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1