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CS224S_Quechua_Project_Expanded_Dataset

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metadata
license: mit
base_model: facebook/w2v-bert-2.0
tags:
  - generated_from_trainer
model-index:
  - name: CS224S_Quechua_Project_Expanded_Dataset
    results: []

CS224S_Quechua_Project_Expanded_Dataset

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 1.1653
  • eval_wer: 0.9562
  • eval_runtime: 56.4123
  • eval_samples_per_second: 11.629
  • eval_steps_per_second: 1.454
  • epoch: 6.5041
  • step: 9600

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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 70
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1