README.md

metadata

license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_trainer
datasets:
  - amazon_reviews_multi
model-index:
  - name: bert_reviews
    results: []

bert_reviews

This model is a fine-tuned version of bert-base-cased on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.8063
• eval_accuracy: 0.647
• eval_runtime: 38.7598
• eval_samples_per_second: 129.0
• eval_steps_per_second: 16.125
• epoch: 0.52
• step: 13000

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: 1.2e-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
• training_steps: 20000

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1