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metadata
license: mit
base_model: facebook/w2v-bert-2.0
tags:
  - generated_from_trainer
model-index:
  - name: w2v-bert-fine-tuning
    results: []

w2v-bert-fine-tuning

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset.

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: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 40
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.19.1