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metadata
library_name: transformers
base_model: Harveenchadha/vakyansh-wav2vec2-nepali-nem-130
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: indic-nepali-finetune-colab-test
    results: []

indic-nepali-finetune-colab-test

This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-nepali-nem-130 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 414.3360
  • Wer: 1.0

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: 0.0003
  • 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: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
5480.8856 14.0351 400 417.9039 1.0
944.0373 28.0702 800 414.3360 1.0

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.19.1