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stt-1

Automatic Speech Recognition
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Marathi
whisper
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metadata
library_name: transformers
language:
  - mr
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_17_0
model-index:
  - name: mr stt 1st finetuning
    results: []

mr stt 1st finetuning

This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.5771
  • eval_wer: 25.9487
  • eval_runtime: 958.3173
  • eval_samples_per_second: 1.637
  • eval_steps_per_second: 0.206
  • epoch: 0.6098
  • step: 1000

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-07
  • 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: 100
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.45.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 3.0.0
  • Tokenizers 0.19.1