bert-base-uncased-finetuned-semeval2020-task4b-base-e2-b32-l3e5

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

• Loss: 0.4114
• Accuracy: 0.8700

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	344	0.3773	0.8490
0.3812	2.0	688	0.4114	0.8700

Framework versions

• Transformers 4.12.3
• Pytorch 1.9.1
• Datasets 1.12.1
• Tokenizers 0.10.3