distilbert-base-uncased-finetuned-domain-adaptation

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: 0.2679

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: 64
• eval_batch_size: 64
• 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
0.7965	1.0	567	0.3069
0.3126	2.0	1134	0.2759
0.2954	3.0	1701	0.2679

Framework versions

• Transformers 4.29.1
• Pytorch 2.0.1
• Datasets 2.12.0
• Tokenizers 0.13.3