dgkim0306's picture
Upload tokenizer
9caeb32 verified
metadata
license: apache-2.0
tags:
  - generated_from_trainer
base_model: facebook/wav2vec2-xls-r-300m
datasets:
  - make_dataset
model-index:
  - name: wav2vec2-large-xls-r-300m-korean-g
    results: []

wav2vec2-large-xls-r-300m-korean-g

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the make_dataset dataset. It achieves the following results on the evaluation set:

  • Loss: 245.9002
  • Cer: 0.8609

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: 0.0001
  • train_batch_size: 64
  • 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: 1000
  • num_epochs: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
19.5527 500.0 500 105.0973 0.9536
0.486 1000.0 1000 245.9002 0.8609

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.2