README.md

metadata

base_model: google-bert/bert-base-cased
library_name: transformers
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: model_finetuned
    results: []

BootCamp 1

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

• eval_loss: 1.5098
• eval_accuracy: 0.5353
• eval_runtime: 24.2339
• eval_samples_per_second: 61.897
• eval_steps_per_second: 7.758
• epoch: 1.0
• step: 250

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1