twitter-xlm-roberta-base-sentiment-finetuned-marc-tn-v1.1

This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5940
• Mae: 0.2556

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: 13
• eval_batch_size: 13
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Mae
0.4596	1.0	3203	0.6163	0.3195
0.3846	2.0	6406	0.5464	0.2669
0.3193	3.0	9609	0.5940	0.2556

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2