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metadata
base_model: openai/whisper-large-v2
datasets:
  - mozilla-foundation/common_voice_11_0
language:
  - hi
library_name: peft
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: LSP_ASR
    results: []

LSP_ASR

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1913

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: 2
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.2329 1.0 491 0.2707
0.1468 2.0 982 0.2118
0.0747 3.0 1473 0.1913

Framework versions

  • PEFT 0.13.3.dev0
  • Transformers 4.47.0.dev0
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0