roberta-base-finetuned-sst2

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

• Loss: 0.4632
• Accuracy: 0.9111

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: 4
• eval_batch_size: 4
• 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	Accuracy
No log	1.0	90	2.0273	0.6667
No log	2.0	180	0.8802	0.8556
No log	3.0	270	0.5908	0.8889
No log	4.0	360	0.4632	0.9111
No log	5.0	450	0.4294	0.9111

Framework versions

• Transformers 4.9.1
• Pytorch 1.9.0+cu102
• Datasets 1.11.0
• Tokenizers 0.10.3