roberta-base-finetuned-nmrv-finetuned-gptgenonly-emotioncls

This model is a fine-tuned version of kapliff89/roberta-base-finetuned-nmrv on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4446

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9173	1.0	17	0.8468
0.5985	2.0	34	0.5935
0.3982	3.0	51	0.4446

Framework versions

• Transformers 4.40.2
• Pytorch 2.3.0+cu118
• Datasets 2.19.1
• Tokenizers 0.19.1