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metadata
license: apache-2.0
base_model: LiYuan/amazon-review-sentiment-analysis
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: yelp-review-sentiment-analysis-model-1
    results: []

yelp-review-sentiment-analysis-model-1

This model is a fine-tuned version of LiYuan/amazon-review-sentiment-analysis on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8765
  • Accuracy: 0.6316
  • F1: 0.6294

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
  • lr_scheduler_warmup_steps: 200
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.9292 1.0 625 0.8798 0.6142 0.6190
0.7543 2.0 1250 0.8765 0.6316 0.6294

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1