metadata

license: mit
base_model: microsoft/deberta-v3-base
tags:
  - generated_from_trainer
model-index:
  - name: sentiment-analysis-whatsapp2
    results: []

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