sentiment-analysis-whatsapp2

This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.1871
• eval_accuracy: {'accuracy': 0.9445}
• eval_f1_macro: 0.9442
• eval_runtime: 4.3692
• eval_samples_per_second: 457.751
• eval_steps_per_second: 7.324
• epoch: 2.0
• step: 500

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

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