metadata

library_name: transformers
language:
  - hi
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - procit008/STT_Datasetfacebookfemale
metrics:
  - wer
model-index:
  - name: Whisper Small Rajan
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: STT_Datasetfacebookfemale
          type: procit008/STT_Datasetfacebookfemale
          args: 'config: hi, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 16.285201982913193

Whisper Small Rajan

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

Loss: 0.5347
Wer: 16.2852

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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
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: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.156	2.1882	1000	0.4294	18.9431
0.0515	4.3764	2000	0.4644	16.8864
0.0099	6.5646	3000	0.5102	16.4540
0.0046	8.7527	4000	0.5347	16.2852

Framework versions

Transformers 4.47.1
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0