roberta-base-roberta-base-TF-weight2-epoch5

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

• Loss: 5.5174
• Cls loss: 0.6899
• Lm loss: 4.1376
• Cls Accuracy: 0.5401
• Cls F1: 0.3788
• Cls Precision: 0.2917
• Cls Recall: 0.5401
• Perplexity: 62.65

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: 2
• eval_batch_size: 2
• 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	Cls loss	Lm loss	Cls Accuracy	Cls F1	Cls Precision	Cls Recall	Perplexity
6.023	1.0	3470	5.6863	0.6910	4.3046	0.5401	0.3788	0.2917	0.5401	74.04
5.6871	2.0	6940	5.5897	0.6926	4.2045	0.5401	0.3788	0.2917	0.5401	66.99
5.5587	3.0	10410	5.5414	0.6905	4.1604	0.5401	0.3788	0.2917	0.5401	64.10
5.481	4.0	13880	5.5208	0.6900	4.1409	0.5401	0.3788	0.2917	0.5401	62.86
5.4338	5.0	17350	5.5174	0.6899	4.1376	0.5401	0.3788	0.2917	0.5401	62.65

Framework versions

• Transformers 4.21.2
• Pytorch 1.12.1
• Datasets 2.4.0
• Tokenizers 0.12.1