distilbert-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: 1.9895

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: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.2103	1.0	10024	2.0834
2.1146	2.0	20048	2.0387
2.0721	3.0	30072	2.0095

Framework versions

• Transformers 4.19.4
• Pytorch 1.11.0+cu102
• Datasets 2.2.2
• Tokenizers 0.12.1