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mr-val-g2

Automatic Speech Recognition
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Marathi
whisper
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metadata
library_name: transformers
language:
  - mr
base_model: simran14/mr-val-f2
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_17_0
metrics:
  - wer
model-index:
  - name: simrank14 Whisper small valG2
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 17.0
          type: mozilla-foundation/common_voice_17_0
          config: mr
          split: test
          args: mr
        metrics:
          - name: Wer
            type: wer
            value: 1.2699122741618827

simrank14 Whisper small valG2

This model is a fine-tuned version of simran14/mr-val-f2 on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1825
  • Wer: 1.2699

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

Training results

Training Loss Epoch Step Validation Loss Wer
0.1957 0.5076 100 0.1617 1.0313
0.1441 1.0152 200 0.1738 1.2923
0.1139 1.5228 300 0.1825 1.2699

Framework versions

  • Transformers 4.45.0.dev0
  • Pytorch 2.3.1+cu121
  • Datasets 2.21.1.dev0
  • Tokenizers 0.19.1