bert-base-uncased-hatexplain-label-all-tokens-True-3epoch

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

• Loss: 0.2139

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: 8
• 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
No log	1.0	174	0.2211
No log	2.0	348	0.2089
0.2165	3.0	522	0.2139

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1+cu113
• Datasets 2.5.2
• Tokenizers 0.13.1