fine-tuned-ylmRobertalMultilingualTwitter-WithNeutral

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

• eval_loss: 1.3393
• eval_model_preparation_time: 0.0039
• eval_accuracy: {'accuracy': 0.8066666666666666}
• eval_f1score: {'f1': 0.7973155781697701}
• eval_runtime: 7.3698
• eval_samples_per_second: 40.707
• eval_steps_per_second: 5.156
• step: 0

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: 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: 65
• num_epochs: 20

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.20.0
• Tokenizers 0.19.1