distilbert-base-uncased-finetuned-wos

This model is a fine-tuned version of distilbert-base-uncased on the web_of_science dataset. It achieves the following results on the evaluation set:

• Loss: 2.2025

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
2.5312	1.0	357	2.2975
2.3847	2.0	714	2.2568
2.3388	3.0	1071	2.2108
2.3076	4.0	1428	2.2158
2.2887	5.0	1785	2.2154

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3