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metadata
language:
  - en
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
datasets:
  - PolyAI/minds14
base_model: openai/whisper-small
model-index:
  - name: Whisper Small Finetuned - SasiVardhan
    results: []

Whisper Small Finetuned - SasiVardhan

This model is a fine-tuned version of openai/whisper-small on the minds 14 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7070

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: 50
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.9334 1.0 56 0.5490
0.3311 2.0 112 0.4733
0.1602 3.0 168 0.5424
0.0487 4.0 224 0.5561
0.0253 5.0 280 0.6136
0.0064 6.0 336 0.6719
0.0043 7.0 392 0.6661
0.0045 8.0 448 0.6927
0.0017 9.0 504 0.7012
0.0014 10.0 560 0.7070

Framework versions

  • PEFT 0.9.1.dev0
  • Transformers 4.39.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2