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large-v3-hi-test

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metadata
language:
  - hi
license: apache-2.0
library_name: peft
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
base_model: openai/whisper-large-v3
model-index:
  - name: Abhinav28/large-v3-hi-test
    results: []

Abhinav28/large-v3-hi-test

This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 11.0 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: 0.001
  • 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
  • lr_scheduler_warmup_steps: 5
  • training_steps: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 0.77 10 0.4660

Framework versions

  • PEFT 0.7.2.dev0
  • Transformers 4.36.2
  • Pytorch 2.0.0
  • Datasets 2.16.1
  • Tokenizers 0.15.0