roberta-base-finetuned-removed-0530

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

• Loss: 0.7910
• Accuracy: 0.9082
• F1: 0.9084

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	3180	0.6250	0.8277	0.8250
No log	2.0	6360	0.4578	0.8689	0.8684
No log	3.0	9540	0.4834	0.8792	0.8797
No log	4.0	12720	0.6377	0.8899	0.8902
No log	5.0	15900	0.6498	0.8921	0.8921
No log	6.0	19080	0.6628	0.8931	0.8928
No log	7.0	22260	0.7380	0.8925	0.8918
0.2877	8.0	25440	0.7313	0.8975	0.8974
0.2877	9.0	28620	0.7593	0.9025	0.9026
0.2877	10.0	31800	0.7910	0.9082	0.9084

Framework versions

• Transformers 4.19.2
• Pytorch 1.9.0
• Datasets 1.16.1
• Tokenizers 0.12.1